Depthfirst, AI Jobs in Usa

About the Role

Our Decision Intelligence (DI) team is seeking a Senior / Lead Data Architect to drive enterprise data strategy and accelerate AI‑enabled transformation across McKesson. DI plays a critical role in enabling data‑driven change and delivering measurable business value through high‑quality data, advanced analytics, and intelligent automation.

This role will define and evolve the enterprise‑wide data and semantic architecture required to support AI‑driven insights, agentic automation, and next‑generation data products. The ideal candidate is a strategic thought partner, a hands‑on architect, and a leader capable of translating business outcomes into scalable technical solutions.

Responsibilities

Data Architecture Leadership

• Architect canonical data domains across customer, product, pricing, supply chain, contracting, and financial performance.
• Design semantic layers, business ontologies, subject‑area models, and metric definition frameworks to power enterprise AI agents and decisioning systems.
• Define architectural principles for data interoperability, lineage, access control, security, and multi‑cloud integration.
• Align data platform and architecture decisions with the USPD AI Roadmap and enterprise AI strategy.

Establish standards and patterns for:

• RAG pipelines
• Vector search
• Metadata-driven orchestration
• Multi-modal ingestion (text, events, real-time signals)

Provide architectural oversight and strategic guidance across enterprise data products including:

• Finance, Pricing, and Supply Chain Data Products
• FIA
• ContractIQ
• Specialty Leakage Agents
• Design a robust, scalable, and interoperable data environment that supports AI-ready, governed, high-quality enterprise data.
• Influence programs and project teams on best practices related to data quality, architecture, modeling, observability, and governance.
• Leverage data architecture frameworks to translate complex relational entities into business cases, use cases, and AI-enablement requirements.
• Partner with product, engineering, and analytics leaders to accelerate data product creation and improve enterprise decision intelligence maturity.

Advanced Data System Design

• Architect complex distributed data systems that ensure scalability, performance, reliability, and real-time integration across business-critical operations.
• Design and govern enterprise-wide data models, data flows, reference architectures, and integration patterns.

Produce high-quality data design deliverables including:

• Data models
• Entity relationship diagrams (ERDs)
• Data flow diagrams
• System interface schemas
• Comprehensive data dictionaries and metadata documentation
• Ensure optimal functioning of AI/ML pipelines, including data quality controls, observability patterns, and architecture for low-latency analytics.
• Guide engineering teams on reusable patterns for ingestion, transformation, curation, semantic enrichment, and operationalization.

Minimum Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

Required Skills

• 7+ years designing enterprise data architecture across large, complex organizations.
• Demonstrated experience with Enterprise data modeling, semantic layers, canonical domains
• Large-scale integration across heterogeneous systems
• Databricks, Snowflake, MDM platforms, SAP, Salesforce/Conga
• Designing intuitive architectural patterns to simplify complex data landscapes.
• Strong understanding of data quality frameworks, governance, lineage, metadata, and regulatory compliance.

Leadership Skills

• Ownership-driven leader with a track record of guiding engineering teams through delivery.
• Acts as a change champion, elevating architecture maturity and influencing cross-functional adoption of best practices.

Strategic Thinking

• Strong analytical capability and the ability to develop long-term data strategies aligned to enterprise objectives and future-state AI readiness.

Problem Solving

• Creative, innovative problem solver capable of architecting solutions for highly complex data and AI challenges.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them.

The People Analytics team delivers data-driven insights that shape workforce strategy across TAG’s five brands. We build the data pipelines, dashboards, and automated reports that help leaders make better decisions about our 23,000+ employees.

As an Analyst, People Analytics, you will build and maintain the data infrastructure that powers our analytics work, and use AI-assisted development tools to do it faster than a team this size normally could. You’ll extract data from source systems like Workday and CultureAmp, transform and load it into BigQuery, and ensure the datasets behind our dashboards and reports are accurate, fresh, and well-documented. You’ll also support analysis and reporting across the team.

This is a technical, hands-on role. On a typical day, you might use an AI coding assistant to build a new data pipeline in the morning, debug a data quality issue after lunch, and write a SQL query to answer an executive’s question before end of day. We work in an AI-assisted development workflow where agentic tools are part of the everyday toolkit - not an experiment, but how we ship.

This role is ideal for someone who is genuinely curious, likes building things that others depend on, and is excited to work at the intersection of data engineering and AI-augmented development.

Key Responsibilities

Data Pipeline Development & Maintenance

• Build and maintain Python-based ETL processes that extract data from Workday APIs and other source systems
• Load and transform data into BigQuery with appropriate schemas and structure
• Monitor pipeline runs and resolve failures or data quality issues
• Handle edge cases like API changes, schema drift, and missing data gracefully

Data Quality & Validation

• Implement validation checks to ensure accuracy between source systems and warehouse
• Investigate and resolve data discrepancies surfaced by reports or dashboard users
• Document data lineage, transformations, and known quality issues
• Build monitoring to track data freshness and pipeline health

Analysis & Reporting

• Write SQL queries and build datasets that power dashboards and executive reporting
• Support ad-hoc data requests from HR and business leaders
• Automate recurring reports and manual data processes
• Validate and QA analytical outputs before delivery

Documentation & Collaboration

• Write clear documentation for data sources, schemas, and transformation logic
• Partner with team members to understand data requirements for new projects
• Contribute to team coding standards and code reviews
• Support compliance and audit requests with accurate data documentation

How We Work

Our team uses AI-assisted development tools as a core part of how we build. That means:

• Writing code with AI assistants. We use AI to draft pipelines, debug issues, and iterate on solutions. You’ll spend more time directing and reviewing code than typing every line from scratch.
• Automating the repetitive. If something can be automated - a report, a data check, a deployment step - we automate it. We look for people who instinctively think “how do I make this run itself?”
• Shipping over perfecting. We prefer working solutions delivered quickly over polished solutions delivered slowly. We iterate in the open and improve as we go.

You don’t need to already be an expert in these tools. You need to be the kind of person who picks them up quickly, experiments on your own, and is excited by the idea that a small team can punch well above its weight with the right approach.

Skills & Qualifications

Required

• 2-4 years of experience in analytics, data engineering, or a related technical role
• Strong SQL skills (complex queries, CTEs, window functions, optimization)
• Proficiency in Python for data processing (pandas, API integrations, scripting)
• Experience building or maintaining data pipelines or automated data processes
• Familiarity with cloud data warehouses (BigQuery, Snowflake, Redshift)
• Strong troubleshooting skills and attention to detail
• Ability to communicate technical work to non-technical stakeholders
• Bachelor’s degree in a quantitative or technical field, or equivalent experience

Preferred

• Experience with BigQuery specifically
• Familiarity with Workday or other HRIS data (employee records, job history, compensation)
• Experience with GCP services (Cloud Functions, Cloud Scheduler, Cloud Run)
• Background in HR, People Analytics, or workforce data
• Hands-on experience with AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, or similar)

What We Offer

• Opportunity to build the data foundation for a 23,000+ employee organization
• A growing team investing in modern analytics practices and AI-assisted workflows
• Hybrid work environment with flexibility
• Comprehensive benefits including health, dental, vision, and 401(k)
• Paid time off and company holidays
• Professional development opportunities

About the Team

You’ll join a growing People Analytics team that values curiosity, reliability, and simplicity. We believe good data infrastructure should be predictable, well-documented, and easy to maintain. We use AI-assisted tools daily to move faster and take on more than our headcount would suggest — and we’re looking for someone who’s excited by that way of working. If you like building things that people depend on and you’re always looking for a better way to do it, you’ll fit right in.

*This role is onsite 4 days/week in our Chicago office (Fulton Market District)

• A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them.

Position Summary

The Director of People Analytics & Artificial Intelligence will build and lead TAG’s next generation people insights and AI strategy. Reporting directly to the CHRO, this role will transform how we use workforce data, predictive analytics, and artificial intelligence to drive business performance across our multi-brand healthcare organization.

This leader will own the vision, strategy, governance, and execution of people analytics and AI initiatives delivering actionable insights, enabling data-driven decision-making, and deploying intelligent automation that improves workforce productivity, engagement, and outcomes. This is a high-impact, enterprise-level role at the intersection of HR, technology, and business strategy.

Key Responsibilities

People Analytics Strategy & Execution

• Develop and execute TAG’s enterprise people analytics roadmap aligned to business strategy.
• Build predictive and prescriptive models to support workforce planning, attrition risk, labor optimization, recruiting effectiveness, productivity, and engagement.
• Create executive dashboards, brand dashboards, and board ready analytics tied to business KPIs (talent acquisition metrics, retention, predictive analytics, labor efficiency, etc.)
• Partner with Finance, Operations, IT, and Brand HR leaders to embed analytics into decision-making.

Artificial Intelligence in HR

• Lead the development and governance of AI-enabled HR solutions (e.g., intelligent recruiting tools, workforce planning models, employee self-service agents, automated case management, talent insights).
• Identify and pilot emerging AI use cases across the employee lifecycle.
• Ensure responsible AI practices, compliance, and ethical guardrails.
• Partner with IT and Legal on data security, governance, and regulatory alignment.

Workforce Intelligence & Predictive Modeling

• Build predictive models for turnover, provider productivity, staffing demand, and succession risk.
• Develop scenario planning capabilities for multi-brand workforce strategies.
• Deliver labor optimization insights across clinical and support functions.
• Support M&A integration analytics and due diligence workforce modeling.

Data Infrastructure & Governance

• Oversee HR data architecture in partnership with HRIS and IT.
• Establish enterprise data definitions, integrity standards, and governance processes.
• Ensure seamless integration between Workday and other enterprise systems.
• Improve reporting automation and reduce manual reporting processes.

Team Leadership

• Build and lead a high-performing People Analytics and AI team.
• Lead center of excellence model supporting all brands across TAG.
• Develop internal capabilities in data literacy across HR leadership.

Executive Partnership

• Serve as a strategic advisor to the CHRO and the People Leadership Team
• Present insights to senior leadership and private equity stakeholders as needed
• Translate complex data into compelling business narratives.

Qualifications

Required

• 8–12+ years of experience in people analytics, workforce strategy, data science, or HR technology.
• Experience leading analytics strategy in a complex, multi-unit or healthcare environment preferred.
• Strong expertise in predictive modeling, workforce analytics, and AI applications.
• Experience with Workday and enterprise HR systems.
• Demonstrated ability to influence executive stakeholders.
• Proven team leadership experience.

Preferred

• Background in healthcare, retail healthcare, dental, medical, or multi-site services.
• Experience in a private equity-backed organization.
• Advanced degree in Data Science, Statistics, Economics, Industrial-Organizational Psychology, HR, or related field.
• Familiarity with Python, R, SQL, Power BI, Tableau, or similar tools.

Leadership Competencies

• Strategic thinker with strong business acumen
• Highly analytical and intellectually curious
• Builder mentality — comfortable creating from the ground up
• Technologically fluent with strong AI awareness
• Strong communicator who simplifies complexity
• High ethical standards regarding AI and data use

Success in this role will result in:

• Measurable improvement in retention and workforce productivity
• Predictive visibility into staffing and labor risks
• AI-enabled efficiency across the HR function
• Executive-level workforce intelligence embedded into enterprise decision-making
• Scalable analytics infrastructure supporting TAG’s growth

Why Join The Aspen Group?

At TAG, we are committed to fostering a high-performance culture that values innovation, collaboration, and excellence. This role provides an opportunity to shape the future of HR at a leading organization, making a meaningful impact on both employees and business success.

*This role is onsite 4 days/week in our Chicago office (Fulton Market District)

• A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

Content Coordinator & Creator — bayareawilson / bayareaown

Full-Time | Bay Area preferred | Hybrid

About the Role

bayareawilson and bayareaown are two interconnected brands covering Bay Area real estate across YouTube, Instagram, and newsletter. bayareawilson is Wilson Leung's personal brand — a fast-growing YouTube channel and Instagram presence built on data-driven, hyperlocal content. bayareaown is the OWN Real Estate brokerage's social presence, focused on luxury property, market insights, and brand-building for the team.

We're looking for a full-time Content Coordinator & Creator who is AI-native — or actively building those skills — to manage and execute an active multi-format content pipeline across both brands. This role is for someone who sees AI tools as a core part of their workflow, not an afterthought.

What You'll Do

Research & Fact-Checking

• Source and verify market data, development news, and local policy from primary and credible sources before anything reaches a script
• Cross-reference claims across multiple sources and flag outdated or unverifiable information proactively
• Use AI tools to accelerate research workflows without compromising accuracy standards
• Maintain a research-first standard where accuracy is non-negotiable

Content Creation & Writing

• Draft scripts across all active formats for both brands — spanning long-form YouTube, short-form Instagram Reels, luxury property content, and market data posts
• Write multiple hook and title variations per video and support performance testing decisions
• Leverage AI tools to generate drafts, brainstorm angles, and iterate quickly while maintaining consistent brand voice
• Maintain distinct voices across brands — Wilson's is conversational and data-grounded; OWN's is elevated and aspirational

Social Media Management

• Plan and manage the content calendar across both brands
• Schedule and publish Reels, stories, and feed posts for both accounts
• Monitor comments and engagement; flag leads or notable responses for Wilson
• Stay current on Bay Area real estate news to identify timely short-form content opportunities
• Research local events, neighborhood moments, and lifestyle content relevant to each audience

Pipeline & Project Management

• Own the full production pipeline from idea to upload across both brands
• Track all active projects and keep production moving without things falling through the cracks
• Coordinate asset needs — thumbnails, graphics, B-roll lists — and ensure pre-production is complete before filming
• Use AI tools to streamline task management, briefing, and coordination workflows
• Maintain Fair Housing compliance across all published content

Publishing & Analytics

• Manage YouTube upload packages and Instagram scheduling end-to-end
• Monitor performance across both brands and surface patterns in what's working
• Track top-performing formats, hooks, and content types to inform future decisions
• Use AI-assisted analysis to identify trends and optimization opportunities faster

You're a Great Fit If You...

• Have genuine interest in Bay Area real estate, urban development, or local news
• Are obsessive about accuracy and catch errors before they go on camera
• Are AI-native or actively learning — you use tools like Claude, ChatGPT, or Gemini in your daily workflow and are curious about where the technology is heading
• Can write in someone else's voice and understand the difference between a 20-second Reel and a 20-minute YouTube deep dive
• Know how to manage multiple social accounts with different audiences, tones, and purposes
• Have experience in content creation, social media management, or digital marketing — ideally in real estate, finance, or local media
• Are self-directed and thrive in a lean operation with high output expectations
• Based in or deeply familiar with the Bay Area (Peninsula knowledge is a major plus)

Nice to Have

• Hands-on experience with AI tools — Claude, ChatGPT, Gemini, Claude Code, or similar — applied to content, research, or workflow automation
• Real estate industry knowledge or data literacy (market stats, property types, transaction basics)
• Video editing skills
• Instagram Reels strategy experience
• Canva or design tool experience
• Familiarity with Fair Housing law and real estate marketing compliance

What Success Looks Like in 90 Days

• Both brands are posting consistently with no gaps
• The content pipeline is organized and visible — Wilson always knows what's in production and what's next
• Short-form content on both brands reflects the right tone for each audience
• AI tools are actively embedded in the research, writing, and coordination workflow — making the operation faster and sharper
• Wilson spends less time on research, coordination, and scheduling — and more time filming and closing deals

Compensation & Details

• Full-time salaried position
• Bay Area preferred; remote candidates with deep Bay Area knowledge considered
• Competitive salary commensurate with experience and benefits

To apply, send a brief note on why this role interests you, samples of any social accounts, YouTube channels, or content you've worked on, and how you currently use AI tools in your work. Applications without samples will not be reviewed.

OWN Real Estate is an equal opportunity employer.

Company Description

At Titl, we simplify the real estate process by eliminating paperwork, legal obstacles, and delays associated with buying, owning, or selling a home. Our advanced technology ensures transparency and peace of mind throughout every transaction. We provide a modern and user-friendly way to handle property—designed for today and prepared for future needs.

Role Description

We're seeking an experienced Full-Stack Engineer to join our team working on a sophisticated property data research and report generation platform. This role involves building and maintaining enterprise-grade systems that automate property data extraction from government sources, generate comprehensive property reports, and manage complex business workflows including payments, authentication, and blockchain integration.

What You'll Work On

• Backend Services: Develop and maintain NestJS microservices handling property data scraping, PDF generation, report aggregation, and enterprise account management
• Frontend Applications: Build responsive Next.js applications with complex state management and real-time updates
• Data Pipeline: Work with automated scraping systems using Puppeteer and AI-powered document processing (Google Document AI, OpenAI)
• Integration Development: Implement OAuth flows, Stripe payment processing, webhook handling, and third-party API integrations
• Queue Management: Design and maintain Bull queue systems for background job processing and async workflows
• Blockchain Integration: Work with Polymesh blockchain for property ownership verification and asset tokenization
• Database Design: Create efficient Prisma schemas and optimize PostgreSQL queries for complex property data relationships

Required Technical Skills

Core Stack (Must Have)

• Backend: Advanced proficiency in NestJS with deep understanding of dependency injection, decorators, guards, and service patterns
• Frontend: Expert-level Next.js 14 (App Router) and React with TypeScript
• Database: Strong Prisma ORM experience and PostgreSQL optimization skills
• TypeScript: Production-level TypeScript across full stack
• API Design: RESTful API design, DTOs, validation, and Swagger documentation Infrastructure & DevOps
• Docker: Container orchestration and development environments
• Cloud Platforms: Google Cloud Platform (Cloud Storage, Cloud Run)
• Queue Systems: Bull or similar job queue systems (Redis-backed)
• Monorepo: Experience with pnpm workspaces or similar monorepo tooling Authentication & Payments
• OAuth 2.0: Multi-provider authentication (Google, Facebook, LinkedIn)
• JWT: Token-based authentication and authorization patterns
• Stripe: Payment processing, webhooks, subscription management, and usage-based billing Specialized Skills
• Web Scraping: Puppeteer or similar browser automation tools
• PDF Processing: PDF generation, manipulation, and data extraction
• AI/ML Integration: Experience with AI APIs (OpenAI, Google AI, etc.)
• Background Jobs: Async processing, retry logic, and error handling

Highly Desired Skills

• Blockchain: Polymesh or Ethereum blockchain integration experience
• Document Processing: OCR, document AI, or legal document processing
• Property/Real Estate Domain: Understanding of property records, deeds, liens, title commitments
• Legal Tech: Experience with legal document workflows or compliance systems
• Testing: Jest, testing-library, E2E testing frameworks
• Performance Optimization: Query optimization, caching strategies, lazy loading
• Security: OWASP best practices, rate limiting, encryption

Architecture & Design Requirements

You should be comfortable with:

• Design Patterns: Service-oriented architecture, repository pattern, factory pattern
• Dependency Injection: Understanding NestJS DI container and module system
• Database Relations: Complex multi-tenant data models with proper isolation
• State Management: React Context, server/client component patterns
• Error Handling: Comprehensive error handling, retry logic, fallback mechanisms, API Security: Rate limiting, API key management, webhook signature verification

Experience Requirements

• 5+ years of full-stack development experience
• 3+ years with TypeScript in production environments
• 2+ years with NestJS or similar enterprise Node.js frameworks
• 2+ years with modern React and Next.js
• Experience building production SaaS applications with multi-tenant architecture
• Track record of shipping complex features end-to-end
• Experience with third-party integrations and webhook systems
• Domain Knowledge (Preferred)
• Understanding of property data and real estate records
• Familiarity with government data systems and public records
• Knowledge of legal document structures (deeds, liens, mortgages, title commitments)
• Experience with regulated industries and compliance requirements
• Understanding of Miami-Dade County or similar municipal systems (bonus)

Development Practices

You should have experience with:

• Git workflows: Feature branches, pull requests, code review
• Documentation: Writing clear technical documentation and API specs
• Testing: Unit tests, integration tests, E2E tests
• CI/CD: Automated testing and deployment pipelines
• Agile: Working in iterative development cycles
• Code Quality: ESLint, Prettier, TypeScript strict mode

Problem-Solving Skills

We're looking for someone who can:

• Debug complex distributed systems across multiple services
• Optimize database queries and reduce API response times
• Design scalable architectures for high-volume data processing
• Handle edge cases in automated scraping and data extraction
• Troubleshoot integration issues with third-party services
• Implement robust error handling and monitoring
• Communication & Collaboration
• Clear written communication for documentation and code reviews
• Ability to explain technical concepts to non-technical stakeholders
• Collaborative approach to problem-solving
• Proactive in identifying and addressing technical debt
• Experience mentoring junior developers (preferred)
• Package Manager Note
• This project uses pnpm exclusively for monorepo management. Experience with pnpm workspaces is preferred, but npm/yarn monorepo experience transfers well.

What Makes You Stand Out

• Contributions to open-source projects
• Experience with LangChain or LangGraph for AI orchestration
• FastAPI or Python experience (for AI service integration)
• Understanding of title insurance or property ownership verification
• Experience with Puppeteer clusters and browser farm optimization
• Background in fintech or regulated industries
• Experience with multi-environment deployments (local, staging, production)

Working Style

This role requires:

• Attention to detail when working with legal and financial data
• Systematic approach to debugging complex systems
• Ability to work independently on ambiguous problems
• Comfort with reading and understanding existing codebases
• Pragmatic decision-making balancing speed and quality
• Tech Stack Summary: NestJS • Next.js • TypeScript • Prisma • PostgreSQL • Puppeteer • Bull • OAuth • Stripe • Google Document AI • OpenAI • Docker • GCP • Polymesh • pnpm
• This role offers the opportunity to work on challenging technical problems at the intersection of PropTech, LegalTech, and AI, building systems that handle real-world property data at scale.

OPERATIONS MANAGER – SYSTEMS, WORKFLOWS & AI ENABLEMENT

The Owner/Principal Attorney is a visionary, strategist, and innovator. Growth is now constrained by operational bandwidth, workflow consistency, and the absence of a single person fully owning execution across all practice areas.

Why This Role Matters

The Operations Manager exists to bring structure, follow-through, and operational discipline to the firm—turning vision into systems, and systems into results. This role is for someone who takes pride in doing things the right way—and isn’t satisfied until they are done right.

At Safe Harbor Wills & Trusts, growth means building systems that allow good people to do excellent work consistently, without cutting corners.

As Operations Manager, your work will directly shape how the firm operates, how it scales, and how clients are served over the long term. You’ll partner closely with an owner who values structure, respects operational leadership, and gives you the authority to implement systems that last.

If you’re motivated by clarity, accountability, and the satisfaction of building something durable and well-run, this role offers the opportunity to make a meaningful, lasting impact.

CORE MISSION

• Turn vision into systems.
• Turn systems into habits.
• Turn habits into measurable time savings, consistent outcomes, and predictable growth.

Compensation - COMPENSATION & GROWTH   $67,500 – $75,000 base salary, DOE Bonus eligibility tied to firm growth and improved margins, 401(k) with employer matching, Life insurance, Paid vacation after ninety (90) days, clear path to Director of Operations as the firm grows

$67,500 – $75,000 base salary DOE - Bonus eligibility

SCOPE OF RESPONSIBILITY

This is a firm-wide role covering all practice areas, including:

• Estate Planning
• Medicaid Planning
• Probate & Trust Administration
• Special Needs Planning
• Client C.A.R.E. program (Client Maintenance & Continuity Program)

ABOUT THE C.A.R.E. PROGRAM

Safe Harbor’s C.A.R.E. program is the firm’s ongoing client service and maintenance program, designed to provide structured follow-up, updates, and long-term support after initial legal planning is completed.

The C.A.R.E. program supports consistent client engagement, document upkeep, funding alignment, and referral continuity across all practice areas.

From an operations standpoint, the C.A.R.E. program functions as a recurring, system-driven component of the client lifecycle, requiring disciplined workflows, tracking, automation, and accountability to operate effectively at scale.

The Operations Manager does not sell the C.A.R.E. program directly, but is responsible for ensuring it runs consistently, securely, and predictably as part of the firm’s overall service model, enhancing client satisfaction, renewal rates, and referral rates.

PRIMARY RESPONSIBILITIES

Customer Journey & Workflow Ownership

• Own and maintain a unified Customer Journey Map (current and future state).
• Ensure workflows align with a consistent client experience across all practice areas.
• Eliminate ambiguity, rework, and handoff failures.
• Support the design, implementation, and oversight of a tiered drafting and production model, including appropriate use of offshore or third-party resources, while maintaining quality control, data security, confidentiality, and attorney review standards.

Operations, Accountability & KPIs

• Build, document, and enforce Standard Operating Procedures (SOPs).
• Maintain role clarity and accountability across teams.
• Implement and monitor KPIs tied to file velocity, error rates, C.A.R.E. program metrics, and documented time saved.
• Run weekly operational check-ins and monthly KPI reviews.

 AI-Enabled Systems & Automation

• Design and deploy AI-assisted operational tools (e.g., call summaries, workflow reviews, C.A.R.E. follow-ups, internal training).
• Automate workflows within Clio, DecisionVault, ElderDocs, and related systems.
• Measure success by real, documented time savings and error reduction—not experimentation.

Workflow Automation & Systems Integration

• Design, implement, and maintain reliable workflow automations that connect the firm’s core systems.
• Integrate practice management, intake, drafting, communication, and AI tools.
• Use automation platforms such as Zapier, Make (Integromat), Microsoft Power Automate, or comparable tools.
• Build automations with appropriate error handling, access controls, documentation, and change management.
• Ensure automations are secure, production-ready, and governed—not ad hoc or experimental.

AI Governance & Policy Authority

• Draft, implement, and enforce firm-wide AI use policies.
• Approve, modify, or shut down AI tools as necessary.
• Train staff and monitor compliance with AI and automation standards.

 Technology & Systems Stewardship

• Ensure technology supports workflows—not the other way around.
• Standardize file structures, task triggers, and system usage.
• Prevent shadow systems and inconsistent practices.
• Maintain awareness of confidentiality, data security, and vendor risk.

POD & Leadership Sequencing

•  Support leadership development only after workflows, systems, and KPIs are stable.
• Advise on readiness for leadership roles and delay when necessary to protect consistency.

Owner Leverage & Dependency Reduction

• Act as an operational buffer between the Owner and the team.
• Translate strategy into executable plans.
• Reduce reliance on any single individual through documentation, systems, and cross-training.

AUTHORITY

The Operations Manager has the authority to enforce workflows, SOPs, automation standards, and AI policies. Hiring and firing authority is advisory; final personnel decisions rest with the Owner.

LOCATION & TRAVEL

• Regular in-office presence required at the Syracuse/Camillus office.
• Occasional travel to the Watertown office.
• Quarterly out-of-area travel for training with the Owner.
• Out-of-area travel for training as necessary

FINAL NOTE

This role is for someone who takes pride in building systems that last, enjoys bringing order to complexity, and wants their work to materially improve both business performance and the daily experience of a professional team.

If you’re looking for a role where your operational discipline, technology fluency, and follow-through truly matter—we should talk.

IDEAL EXPERIENCE & EDUCATION

• 7–12 years of professional experience.
• 5+ years in operations, systems, or process-driven roles.
• Experience managing people and enforcing standards.
• Bachelor’s degree required; MBA helpful but not required.
• Valid driver’s license.
• Background check required.
• Experience designing and maintaining workflow automations using tools such as Zapier, Make (Integromat), Microsoft Power Automate, or comparable platforms.
• Candidates should be comfortable integrating multiple systems, managing exceptions, and ensuring automations are reliable, secure, and well-documented.

ASSESSMENTS

Safe Harbor Wills & Trusts uses professional behavioral and work-style assessments as part of the hiring process. Final candidates may complete assessments, including DISC, Kolbe, and PRINT, to evaluate alignment with the responsibilities of the role and the working relationship with the Owner/Principal Attorney.

These assessments are not pass/fail tests and do not replace interviews, experience, or a proven track record of success. They are used to support mutual fit.

Safe Harbor Wills and Trusts is a boutique law firm that focuses on helping individuals and families protect their home and life savings from the possibilities of unforeseen health and financial issues.

Our practice areas are limited to: Elder Law, Estate Planning, Family and Legacy Planning, Supplemental Needs Planning, Probate, and Guardianship Proceedings.

Safe Harbor Wills and Trusts believes in giving back to our communities. Employees are encouraged to participate in community and charitable events. When it comes to our team giving back, we believe we can all do well if we all do good.

Compensation details: 67500-75000 Yearly Salary

PI69e58fe7565f-3631

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

At NiCE, we are a global leader in AI-powered customer experience solutions, helping organizations transform how they engage with customers across every interaction. Our unified cloud platform, CXone Mpower, enables enterprises to manage and optimize 100 percent of customer engagements across voice and digital channels, combining contact center capabilities with advanced analytics, automation, and conversational AI. As an AI-first company, NiCE is advancing the next generation of intelligent, automated customer interactions through generative AI, virtual agents, and real-time decisioning to drive improved satisfaction, efficiency, and loyalty at scale. NiCE also offers complementary compliance and public sector solutions that extend our AI capabilities into regulated and mission‑critical environments. With more than 25,000 customers worldwide, including 85 of the Fortune 100, NiCE operates in over 150 countries. Learn more at the Role

As a Senior Legal Counsel on NiCE’s Americas Legal team, you will support high‑value commercial and technology transactions that are central to NiCE’s customer experience business. The role is focused on enabling growth of NiCE’s CXone Mpower platform through the negotiation and structuring of complex technology, SaaS, and strategic partnership agreements. You will work closely with sales, product, finance, security, and privacy stakeholders to address issues at the intersection of cloud technology, data protection, and regulatory compliance, while providing practical, business-oriented legal guidance.

In addition to transactional responsibilities, you will contribute to the development of scalable contracting processes, legal playbooks, and operational improvements to support a rapidly growing and evolving business. Reporting to the Associate General Counsel for NiCE Americas, this hybrid role requires two days per week in the office and offers the opportunity to operate as a trusted legal advisor within a global, AI‑driven customer experience organization.

We are seeking a senior legal professional who demonstrates the following attributes:

• 
  
• Strategic and Commercial Mindset: Approaches legal issues with strong business judgment and creativity, delivering solutions that advance NiCE’s strategic and commercial objectives.
  
• Collaborative Partner: Works effectively across cross‑functional and geographically diverse teams, building trust and influence with stakeholders at all levels of the organization.
  
• Clear and Persuasive Communicator: Communicates complex legal concepts clearly and concisely, both in writing and verbally, with the ability to tailor messaging to different audiences.
  
• Proactive Problem Solver: Manages multiple priorities with minimal supervision, anticipates risks, and drives matters to completion in a fast‑paced, evolving environment.
  
• Adaptable and Resilient: Remains effective and composed amid change, ambiguity, and shifting business priorities.
  
• Team‑Oriented Professional: Values collaboration and contributes positively to a high‑performing, engaged legal team culture.
  

• 
  
• Lead Complex Transactions: Structure, negotiate, and manage sophisticated commercial and technology transactions across sales, product, and procurement, with a primary focus on enterprise cloud offerings.
  
• Provide Legal and Regulatory Guidance: Advise on U.S. and international legal issues related to SaaS, data protection, cybersecurity, and commercial contracting, delivering practical, risk‑balanced guidance to the business.
  
• Scale Legal Operations: Develop, maintain, and improve legal playbooks, templates, and contracting processes to increase efficiency and support a growing, fast‑moving organization.
  
• Partner Cross‑Functionally: Collaborate with legal colleagues and cross‑functional stakeholders globally to align legal strategies with business priorities and key initiatives.
  
• Anticipate Regulatory Change: Monitor and assess evolving laws and regulations affecting NiCE’s commercial activities and proactively advise on risk mitigation and compliance.
  
• Enable the Business: Educate and train internal teams on legal, compliance, and contracting best practices to support informed and efficient decision‑making.
  
• Build Trusted Relationships: Establish strong working relationships with internal stakeholders and external partners, balancing legal risk with commercial objectives.
  
• Support Strategic Growth: Contribute to initiatives that advance NiCE’s global growth strategy and innovation agenda.
  
• Other Legal Matters: Support additional legal projects and responsibilities as needed.
  

• 
  
• Education and Licensing: Juris Doctor with strong academic credentials and an active license to practice law in at least one U.S. jurisdiction.
  
• SaaS and Technology Experience: Minimum of 8 to 10 years of legal experience, with substantial experience supporting SaaS, cloud computing, and enterprise software transactions primarily on the vendor side.
  
• Transactional Expertise: Demonstrated experience drafting, negotiating, and advising on complex SaaS and technology agreements, including Data Processing Agreements and, where applicable, Business Associate Agreements.
  
• Legal Acumen: Strong working knowledge of data privacy, cybersecurity, and intellectual property law, including familiarity with U.S. and international data protection regimes and evolving regulatory trends.
  
• In‑House Experience: Prior in‑house legal experience supporting a commercial or technology‑driven business environment.
  

• 
  
• Public Company or Global Environment: Experience supporting a U.S. publicly traded company and/or a global, multinational organization.
  
• Operational Maturity: Proven ability to design, improve, and scale legal processes, templates, and playbooks in support of a growing business.
  
• AI and Emerging Technology Law: Familiarity with evolving artificial intelligence and automated decision‑making laws and regulations in the United States and internationally, including emerging global frameworks such as the EU AI Act.
  

• 
  
• Excellent negotiation, drafting, and communication skills, with the ability to translate complex legal issues into practical business guidance.
  
• Strong organizational skills and sound judgment, with the ability to manage multiple matters independently in a fast‑paced environment.
  
• Collaborative, team‑oriented approach with the ability to build effective working relationships across functions, regions, and cultures.
  

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

The Senior Data Scientist will play a critical role in building the foundation of Boot Barn’s AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.

Essential Duties and Responsibilities

• Design, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
• Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
• Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
• Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
• Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
• Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
• Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.
• Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
• Translate complex model results into clear business insights for technical and non-technical audiences.
• Demonstrates high level of quality work, attendance and appearance.
• Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
• Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
• Performs any other duties that may be assigned by management.

Qualifications

• Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 3-5+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.
• Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)
• Experience with LLMs, vector databases, and RAG pipelines
• Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.
• Strong collaboration skills, with experience working closely with engineering and product teams.
• Retail and/or e-commerce experience preferred.

Competencies

• Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.
• Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.

Boot Barn Benefits & Additional Compensation Opportunities

• Competitive salary.
• Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
• Paid Time Off plan for year-round Boot Barn Partners.**
• Medical, Dental, Vision and Life Insurance.**
• 401(k) plan with generous company matching.
• Flexible schedules and work/life balance.
• Opportunities for growth at every level – we are opening 50+ new stores each year.

**For eligible Boot Barn Partners

PAY RANGE: $125,000.00 - $150,000.00/yr*

*compensation varies based on geography, skills, experience, and tenure

Physical Demands

In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.

• Standing, walking and squatting less than fifty percent of the work shift.
• Required to lift, move and carry up to 40 pounds.
• Ability to read, count and write to accurately complete all documentation and reports.
• Must be able to see, hear and speak in order to communicate with partners and customers.
• Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.
• Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.

[ ] Sedentary: Limited activity, no lifting, limited walking

[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking

[ ] Moderate: Mostly standing, walking, bending, frequent lifting

[ ] Arduous: Heavy lifting, bending, crawling, climbing

Work Environment

In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.

• The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.
• Noise levels are considered moderate.

Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.

Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.

Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.

California Privacy Notice

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• 
  
• Write production Python that powers real-time bidding, model training, and campaign optimization
  
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  
• Serve as a technical lead and mentor on a distributed engineering team
  

What we're looking for:

• 
  
• Strong production Python skills: you write code that runs in prod, not just notebooks
  
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  
• Familiarity with modern AI tools and good judgment about where they add value
  
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  
• Clear written communication: we're a distributed team and writing is how decisions get made
  
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  
• Nice-to-Haves:
  
  • 
    
  • Teaching experience
    
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • Reinforcement learning or bandit algorithms in production
    
  • Experience building agentic AI systems or LLM-powered workflows
    
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

QASource is a leading provider of software QA and testing services, supporting enterprise and high-growth technology companies. We integrate directly with engineering and product teams to deliver scalable, high-quality testing solutions across automation, manual testing, performance, security, and AI-driven QA.

Our clients expect senior-level partnership, technical fluency, and strategic account leadership.

The Senior Technical Account Manager (Sr. TAM) is responsible for managing and expanding a focused portfolio of strategic, enterprise-level accounts within a defined territory. This role requires ownership of multi-million-dollar revenue targets, executive-level relationship management, and the ability to drive account expansion through consultative, technically informed engagement.

This is not a support role. The Sr. TAM serves as a strategic advisor to Engineering Directors, VPs, CTOs, and QA leadership, ensuring delivery excellence while proactively identifying and executing growth opportunities within existing accounts.

The Sr. TAM will manage a high-touch portfolio of approximately 5–8 strategic enterprise accounts. Success in this role requires disciplined account planning, proactive client engagement, in-person relationship development, and the ability to creatively land and expand business across multiple stakeholders within complex organizations.

Responsibilities:

Account Ownership & Revenue Growth

• Own and manage a multi-million-dollar quota across a defined portfolio of 5–8 strategic enterprise accounts.
• Drive structured and strategic upsell and cross-sell initiatives within existing customers.
• Identify whitespace opportunities across QA, automation, performance, security, and AI-enabled services.
• Close meaningful expansion deals, including engagements of $150K+.
• Develop creative, value-driven approaches to land-and-expand initiatives across Engineering Directors, VPs, and CTO-level stakeholders.
• Partner with delivery leadership to align technical execution with commercial growth objectives.

Executive Relationship Management

• Build and maintain trusted relationships with Engineering Directors, VPs, CTOs, and C-suite stakeholders.
• Conduct regular in-person customer visits within assigned territory.
• Lead in-person Quarterly Business Reviews (QBRs) focused on measurable outcomes, roadmap alignment, and strategic growth opportunities.
• Serve as the executive escalation point for complex delivery or client challenges.

Strategic Account Planning & Execution

• Develop and maintain comprehensive strategic account plans for each assigned customer.
• Maintain clear documentation of stakeholder mapping, growth objectives, expansion pathways, and execution milestones.
• Track progress against defined revenue and relationship goals.
• Execute consistently against a structured path toward growth.
• Demonstrate strong organizational discipline in account tracking, forecasting, and internal coordination.
• Organization, planning rigor, and follow-through are critical success factors in this role.

Technical & AI Fluency

• Maintain broad knowledge of emerging AI technologies and their impact on software quality and engineering workflows.
• Proactively stay current on AI tools, automation advancements, and testing innovations.
• Translate AI-driven opportunities into relevant, business-aligned discussions with engineering stakeholders.
• Position QASource’s AI-augmented testing capabilities in alignment with customer technology strategies.

Technical & Delivery Alignment

• Collaborate closely with QA Managers, Engineering teams, and project leaders.
• Translate technical delivery insights into executive-level business value discussions.
• Proactively identify risks and implement mitigation strategies.
• Ensure seamless integration of QASource services into client engineering environments.
• Demonstrate a practical understanding of how software is built, tested, and released within modern SDLC frameworks.

Required Qualifications:

• 8–10+ years of experience in Technical Account Management, Enterprise Sales, Customer Success, or a related client-facing technical role.
• Proven ownership of multi-million-dollar revenue targets.
• Demonstrated success closing $150K+ expansion or new deals.
• Documented track record of expansion within a focused portfolio of strategic accounts.
• Experience managing a limited book of business (ideally 5–20 accounts; this role will manage 5–8).
• Direct experience working with Engineering Directors, VPs, CTOs, or C-suite stakeholders.
• Technology industry background specifically within software, SaaS, cloud platforms, DevOps, QA, or technical services environments.
• Demonstrated general understanding of the Software Development Lifecycle (SDLC) and how Quality Assurance integrates into development processes.
• Prior experience engaging with engineering, QA, or product teams in a software delivery context.
• Strong executive presentation skills and ability to conduct in-person QBRs.
• Demonstrated ability to creatively mine and expand accounts.
• High level of organization and structured account planning discipline.
• Stable career progression.

Preferred Qualifications:

• Background in QA, software development, DevOps, or technical services environments.
• Familiarity with CI/CD pipelines, automation frameworks, API integrations, performance testing, or AI-enabled testing tools.
• Experience operating within a territory-defined account ownership model.
• Experience in professional services or distributed delivery environments.
• MBA or advanced technical degree (preferred but not required).

Core Competencies:

• Executive presence and professionalism.
• Revenue accountability.
• Strategic account planning and disciplined execution.
• Technical credibility within software engineering environments.
• AI awareness and forward-thinking mindset.
• Consultative, value-based communication.
• Risk identification and mitigation.
• Proactive, structured account leadership.

Why Join QASource:

• Manage a focused portfolio of high-value enterprise technology clients.
• Drive measurable revenue expansion through strategic value creation.
• Partner directly with engineering and executive leadership teams.
• Operate in a technically rigorous, innovation-driven organization focused on quality and long-term partnerships.

Salary Range:

• $110,000 - $120,000 per annum (30% Variable).

Perks:

• Health, vision, and dental benefits.
• 401(k) with company match.
• Paid time off and holidays.
• Wellness programs and professional development opportunities.

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

CarMax, the way your career should be!

Essential Responsibilities:

• Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships
• Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations
• Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams’ achievements
• Create the strategic roadmap that will guide the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization
• Empower your direct reports to lead their teams by providing them with the resources, training, feedback, and a sounding-board to be successful in their roles
• Develop people through effective communication and ongoing feedback
• Manage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basis
• Create an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experience
• Work through others to deliver resilient and scalable technology solutions that solve for complex business problems
• Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology
• Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be
• Quickly learning the CarMax technology standards and norms and ensuring that your teams follow best practices for change management, security, etc.
• This role will have on-call expectations to be available for major incidents and issues that affect your team’s applications.

Minimum Qualifications:

• Bachelor’s Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Optional for sponsorship needs: Master’s Degree in Computer Science, Computer Engineering, or relevant technical field
• 10+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering
• 5+ years’ experience managing direct reports
• 5+ years’ experience with microservices software architecture
• 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
• 5+ years’ experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
• Demonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the future
• Proven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellence
• Proficient in developing in Python
• Experience with scripting languages such as shell scripts
• Experience in DevOps practices, testing frameworks, and CI/CD
• Experience with Model Development and Deployment (MLFlow, Azure ML)
• Experience with container orchestration (Kubernetes, Docker)
• Experience communicating and working across functions to drive organization-wide solutions

Preferred Qualifications:

• Previous experience deploying large-scale applications on Azure
• Familiarity with MLOps and industry-standard machine-learning Python libraries
• Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
• Advanced AI/ML specializations (reinforcement learning, deep learning, NLP)
• Proficient in an object-oriented programming language (i.e. C#, Java)
• Experience using large language models (LLMs) with semantic search frameworks for chatbot implementations

Software Specific Qualifications:

• Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
• Proficiency developing and debugging in Python
• Experience with Model Development and Deployment (MLFlow, Azure ML)
• Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
• Experience with scripting languages such as shell scripts
• Experience in DevOps practices, testing frameworks, and CI/CD
• Proficiency in version control systems (Git) for AI/ML model versioning
• Experience with container orchestration (Kubernetes, Docker)

***For immediate consideration, please message Ali Ferber (Scott) on Linkedin with your updated resume***

Functional Role: Senior Full Stack Engineer (AI focused)

Salary: $150,000-200,000 + Bonus + Benefits

Technical Skills: Typescript, AWS Architecture, Node JS, Backend, Product Development

We’re looking for a highly technical, hands-on engineer to take ownership of a growing proprietary platform and lead the development of a suite of independent applications that integrate seamlessly into a unified ecosystem.

This is not a coordination role. This is a write-the-code, solve-the-problem, own-the-architecture role.

1⃣Strong Technical Depth (8–10 Years Experience)

• Expert in Node.js
• Expert in TypeScript
• Strong experience with Amazon Web Services
• Proven system architecture & database design experience
• Fully hands-on — able to solve complex issues without relying on others

2⃣ Product-Building Experience

• Built and shipped a real product (not just internal tools)
• Experience designing scalable, universal architecture
• Strong ability to translate business requirements into technical solutions
• Comfortable working cross-functionally with business stakeholders

3⃣ AI-Driven Development Experience

• Actively used AI tools to build applications (50–70% AI-assisted development)
• Experience writing clear technical specs that AI can execute against
• Familiar with AWS-native AI ecosystem (e.g., cloud-based AI coding tools)

***For immediate consideration, please message Ali Ferber (Scott) on Linkedin with your updated resume***

Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Job Description

This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing the Large Language Models (LLMs). The successful candidate will work on pioneering research projects that push the boundaries of what AI can achieve, particularly in the domain of multimodal learning. You will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications.

Job Responsibilities

1. Research and Innovation:Conduct cutting-edge research in AI, machine learning, and multimodal learning, with a focus on developing Large Language Models (LLMs) that process and generate multimodal data (text, audio, video, images).Explore and implement new algorithms and methodologies to enhance the performance of LLMs in various real-world applications.

2. Model Development and Optimization:Design, build, and fine-tune LLMs and other AI models to address complex challenges in multimodal learning.Develop scalable and efficient architectures for deploying models in real-world environments.

3. Collaboration and Industry Partnerships:Collaborate closely with industry partners to align research with practical applications, ensuring that developed models and solutions address real-world needs.Participate in cross-functional teams to apply research findings to industry-related projects.

4. Publishing and Dissemination:Prepare and publish high-quality research papers in top-tier journals and present findings at leading academic conferences.Contribute to technical reports and documentation for both academic and industry audiences.

5. Mentorship and Lab Contributions:Mentor graduate and undergraduate students in the lab, guiding them in research methods, experimental design, and technical skills. Contribute to the overall success of the lab by collaborating on ongoing projects and assisting with grant proposals and reports.

Minimum Qualification

Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural language processing), machine learning, or data science.

Preferred Qualifications

Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3, Gemma, Mistral AI, and others.
Multimodal Learning Experience: Demonstrated experience in integrating and processing multiple data modalities (text, audio, video, images) using AI/ML techniques.
Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries.
Research Excellence: Proven track record of publications in high-impact journals and conferences in relevant fields.
Collaborative Mindset: Ability to work effectively in a multidisciplinary team, with strong communication and leadership skills.

Department

Work Schedule

Type of Appointment

Expected Salary

Equal Employment Opportunity Statement:

The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement.

The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request.

As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request.

The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer.

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
• Better together:We check our egos at the door. We work together, so we win together.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

About Us

Perform Properties is a Blackstone Real Estate portfolio company focused on high-performing retail and office properties with People-Appeal - vibrant spaces where people actively choose to work, shop, and gather. With expertise in transactions, development, leasing, and management, the company oversees over 33 million square feet of retail and office properties across the U.S. Learn more: .

Role Summary

Our VP, Data & Analytics unlocks data-driven growth at the speed of natural language through AI-enabled execution across Perform Properties. An innovative architect with deep business literacy, the VP, Data & Analytics will lead our efforts to put data at the center of our Technology capabilities with a modern, performant and AI-ready data & analytics platform. This critical capability will serve a wide range of business functions, enabling Investments, Portfolio, Operations and Finance people to put AI, BI, Analytics and other emerging technologies to work for them every day – not just talk about the potential & possibilities.

This role reports to the Chief Technology Officer and is based in the office, 5 days a week.

Essential Job Functions

• Drive Data Architecture & Engineering excellence that actively reduces our Coordination Tax
• Build Data Modelling & Analytics capabilities to reduce our Time-to-Productivity
• Champion Artificial and Business Intelligence (AI / BI) capabilities through compelling next generation interactions (Visualization, Natural Language & Agentic) that reduce our Time-to-Insight
• Cultivate Data governance & stakeholder engagement that creates real shared ownership of our platform
• Model the successful use of AI as a capabilities & resource extension, not just a gimmick
• Develop individuals & teams of technologists in the Data & Analytics space as their leader

Qualifications and Technical Competencies

• 10+ years leading Data Science, Data Engineering, Analytics and/or AI / ML-focused teams
• 5-7 years managing agile projects (Scrum, Kanban, SAFe)
• 3-5 years managing people (direct reports, manager of managers)
• Demonstrable success working with modern data platforms (Databricks, Snowflake, BigQuery, RedShift, Synapse)
• Demonstrable success delivering AI / ML initiatives (Natural Language Processing, Predictive Modeling, Statistical Modeling)
• Advanced proficiency in common data engineering tools (R, Python, DBT, SQL, Azure Data Factory)
• Advanced proficiency in common visualization tools (Tableau, PowerBI)
• Bachelor’s Degree in Computer Science, Mathematics or relevant tertiary education

Benefits & Compensation

Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).

Base Salary Range: $225,00-$265,000. This represents the presently-anticipated low and high end of the Company’s base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience.

The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

Closing

EEO Statement

Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email

#LI-Onsite

About RSI

RSI is a dynamic group of companies that has provided services to major federal clients and Fortune 500 engineering and construction companies since 1996. We have experience in complex, highly regulated markets providing environmental, nuclear, construction management, project delivery, and specialty professional services while maintaining an excellent safety record. We offer a full range of benefits including a generous PTO plan, paid holidays, medical, dental, vision, 401K (100% match up to 4% eligible compensation) and 100% immediate vesting, basic and supplemental life insurance, and short- and long-term disability.

RSI is headquartered in Oak Ridge, Tennessee, and is a wholly owned operating company of ASRC Industrial (AIS). AIS is a wholly owned operating company of Arctic Slope Regional Corporation (ASRC), an Alaska Native Corporation (ANC). Through ASRC, we are a certified Minority Business Enterprise (MBE) and Small Disadvantaged Business (SDB), and we also offer 8(a) options.

Position Summary

RSI is currently recruiting for a Contracts Manager. This position will provide management, consultation, and support to business leadership team and program/project management functions for the life cycle management and administration of federal and commercial prime contracts. Serve as the primary interface with customer Contracting Officers and team partner counterparts in negotiating, managing, administering, and performing prime contracts. Develop and maintain company internal control policies, guidelines, and procedures for achieving compliance with prime contract terms and conditions, regulations, and customer requirements. Support acquisition of new prime contracts by participating in the development of competitive proposals as needed. This position is not remote.

Primary Responsibilities

• Support prime contract life cycle performance including business/cost proposal preparation, execution, and closeout for federal government and commercial projects.
• Interpret contractual, Federal Acquisition Regulation and supplemental regulations, and/or unique procurement regulations and provide effective compliance strategies and approaches.
• Prepare and/or review contract documents such as teaming agreements, solicitations/RFPs, and contracts for risk identification and provide mitigation strategies that effectively minimize risks to the company.
• Prepare, review, and/or negotiate prime contracts of varying types (FFP, T&M, IDIQ, CPIF, CPFF, performance based, etc.), teaming and consulting agreements, non-disclosure agreements, memoranda of understanding/agreement, and other contract related documents.
• Perform contract reviews or audits including such activities as variances or errors, ambiguous or undefined contract terms, and compliance with terms and conditions.
• Ensure all prime contract terms and conditions flow down to subcontracts.
• Coordinate or perform contract administration tasks related to monitoring compliance, performance, and progress.
• Perform all contract administration functions using independent evaluation, judgment, selection and adaptation/modification of standard techniques and procedures.
• Interface and establish strong rapport with government contracting officers and clients.
• Coordinate the preparation, submittal, and negotiation of requests for equitable adjustments.
• Advise program/project managers on scope of work and contract terms and conditions including resolving complex issues (e.g., government property, insurance, OCI) and resolution of contract disputes.
• Advise business leadership and program/project management regarding strategies and methods to maximize contract profitability.
• Maintain effective interfaces/relations with all intra-company functions (e.g., Human Resources, Finance, etc.).
• Interface with ASRC Industrial Services (AIS) legal counsel when necessary regarding risks and mitigation strategies and compliance with company policies and procedures.
• Maintain effective communication and interfaces with AIS and provide timely and accurate responses to all AIS requirements and requests.
• Understand Contractor Purchasing System Review (CPSR), and government property system review; contract closeout; government property administration; and purchasing system design and upgrades.
• Maintain original contracts and modifications electronically, integrating modifications into a working electronic copy, and assure contract records are adequately and accurately maintained.
• Interface with Government auditors.

Required Education and Experience

• B.S. degree in finance, accounting, business administration, or a related discipline or equivalent.
• Minimum of five (5) years of prime contract management experience in government contracts.

Job Knowledge/Qualifications

• Demonstrated knowledge of (FAR) Federal Acquisition Regulations, including cost or pricing data, cost accounting standards, and allowable cost determinations etc.
• Deltek Costpoint experience is a plus
• Excellent analytical and negotiation skills.
• Ability to work on multiple projects concurrently and prioritize assignments.
• Ability to maintain the highest level of professionalism, confidence and integrity while directly dealing with internal and external customers.
• Ability to work and communicate with all levels of the company and customers.
• Excellent writing, oral communication, organizational, and analytical skills.
• Proficient computer skills (MS Word, MS Excel, and Adobe Acrobat) commensurate with duties.
• Work may be required outside normal business hours and sometimes on short notice

Clearance and Health Regiments

• Criminal Background Check
• Pre-placement Drug Screening

EEO Statement

ASRC Industrial (AIS) and its operating companies affords equal opportunity in employment to all individuals regardless of race, color, religion, sex, age, national origin, pregnancy, familial status, disability status, veteran status, citizenship status, genetic information or any other characteristic protected under Federal, State or Local law. AIS is an Equal Opportunity Employer.