Backops, AI Jobs in Usa

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:

Must be based in Miami, FL and available to work on-site 3X per week.

We Are Lucky Strike Entertainment.

Bowling, Arcade, Family Entertainment Centers. One company. Twelve brands. A career built around unforgettable experiences. Hospitality at our core; we put people first by creating meaningful connections and delivering memorable experiences to every guest, every time.

The Senior Vice President of Revenue Management & Pricing will lead the development and execution of enterprise pricing and revenue optimization strategies across the organization’s portfolio of entertainment venues. This executive will be responsible for driving sustainable revenue growth and margin expansion through dynamic pricing, advanced analytics, and AI-powered pricing solutions that respond to real-time demand signals.

This role will oversee revenue management, pricing strategy, commercial analytics, and pricing technology to ensure the organization maximizes yield across dayparts, seasonal demand, and customer segments. The SVP will partner closely with Marketing, Finance, Operations, and Technology to build a sophisticated pricing ecosystem that leverages automation, machine learning, and predictive analytics to continuously optimize performance while delivering strong customer value and engagement.

What You’ll Do

Strategic Revenue & Pricing Leadership

• Design and implement a comprehensive revenue management and pricing strategy aligned with company goals for revenue growth, margin optimization, and guest value perception.
• Lead the evolution from static pricing to dynamic, demand-based pricing models that consider factors such as daypart, demand elasticity, seasonality, location performance, and customer segmentation.
• Establish pricing governance frameworks to guide promotional strategy, discount structures, and enterprise pricing policies.
• Develop testing and experimentation frameworks to continuously refine pricing strategies through data-driven insights.

AI-Driven Pricing & Technology Innovation

• Lead the implementation and optimization of AI-powered pricing solutions that leverage machine learning, predictive modeling, and real-time demand signals.
• Evaluate and deploy pricing technology platforms capable of automated price adjustments based on utilization, booking velocity, weather, competitive data, and historical trends.
• Partner with Product and Technology teams to integrate AI pricing capabilities with POS systems, reservation platforms, CRM systems, and loyalty platforms.
• Champion a data-first culture by embedding automation and advanced analytics into everyday pricing and revenue decisions.
• Ensure pricing systems are scalable, automated, and capable of adapting to rapidly changing demand conditions across all locations.

Analytics & Revenue Optimization

• Build and oversee advanced pricing models using statistical forecasting, machine learning, and predictive analytics.
• Monitor pricing performance against key metrics including revenue per location, yield per lane or experience, utilization rates, contribution margin, and customer lifetime value.
• Conduct competitive and market pricing analysis to ensure optimal positioning across markets.
• Partner with FP&A to forecast the financial impact of pricing strategies and track performance against revenue and margin targets.
• Lead commercial analytics initiatives to uncover insights across pricing, promotions, guest behavior, and market demand patterns.

Loyalty & Customer Value Programs

• Collaborate with Marketing and Customer Experience teams to align loyalty strategy with revenue management and pricing initiatives.
• Leverage loyalty and guest data to inform personalized pricing strategies, promotions, and targeted offers.
• Analyze loyalty program performance and customer engagement trends to improve retention, visitation frequency, and lifetime value.
• Integrate loyalty insights into dynamic pricing models to deliver value while maximizing revenue.

Operational Execution

• Partner with regional and location leadership to ensure pricing strategies are practical, executable, and aligned with local market dynamics.
• Ensure pricing strategies can be seamlessly deployed across all locations through centralized systems and automation.
• Establish operational processes for pricing updates, approvals, and exception management.
• Support field teams with clear communication, training, and tools to ensure consistent pricing execution.

Cross-Functional Collaboration

• Work closely with Marketing to align promotional strategies, campaigns, and offers with enterprise pricing strategy.
• Partner with Operations to ensure pricing models align with operational realities and guest experience expectations.
• Collaborate with Technology and Product teams on system requirements for pricing automation, forecasting tools, and advanced analytics.
• Provide executive leadership with insights on pricing trends, market conditions, and revenue optimization opportunities.

Leadership & Team Development

• Build and lead a high-performing team focused on revenue management, pricing strategy, and commercial analytics.
• Develop internal capabilities in advanced analytics, pricing science, and AI-enabled revenue optimization.
• Foster a culture of innovation, experimentation, and data-driven decision making across the organization.

What You’ll Bring

• 10+ years of experience in revenue management, pricing strategy, or commercial analytics roles within multi-location, consumer-facing industries such as hospitality, entertainment, travel, retail, or leisure.
• Proven track record designing and scaling dynamic pricing strategies across large multi-unit environments.
• Experience implementing AI-driven pricing platforms, predictive analytics tools, or automated revenue management systems.
• Strong analytical expertise in pricing optimization, demand forecasting, elasticity modeling, and customer segmentation.
• Demonstrated leadership experience building and managing high-performing teams.
• Ability to influence senior executives and collaborate cross-functionally with operations, finance, marketing, and technology leaders.
• Experience integrating pricing systems with POS platforms, CRM systems, loyalty platforms, and enterprise analytics tools.

Key Metrics of Success

• Revenue growth and margin expansion driven by pricing and revenue management strategies.
• Increased yield per location across peak and off-peak demand periods.
• Improved utilization through demand-based and AI-driven pricing optimization.
• Higher customer retention and engagement through personalized value-based pricing.
• Seamless deployment of pricing updates across all locations with minimal operational disruption.
• Development of a scalable, automated pricing infrastructure powered by advanced analytics and AI.

What You’ll Get

At Lucky Strike Entertainment, we’re committed to supporting your well-being both on and off the job. Here's a peek at some of the benefits available to our Corporate associates:

• Medical, Dental, Vision plans to select from based on your needs
• Wellness resources to help you along your wellness journey
• 401(K) Retirement Plans
• Employee Stock Purchase Program
• Employee Assistance Program (EAP)
• Vacation and Holidays
• Perks! Bowling, Boomer's, and Waterpark discounts, Retail discounts, Event discounts and more!

Company Description

National Technology Management (NTM) has been delivering AI-driven Managed IT and Cybersecurity solutions since 1997. With a focus on innovation, commitment, and excellence, NTM protects organizations against accelerating cyber threats through 24/7 managed cybersecurity and proactive threat detection. By utilizing AI-powered tools, automation, and streamlined solutions, NTM helps businesses elevate efficiency, drive revenue growth, and optimize technology performance while minimizing risk. Headquartered in Franklin, MI, NTM partners with multi-location businesses and compliance-focused industries that prioritize measurable outcomes and technological optimization.

Service Delivery Manager (SDM)

Reports To: Integrator / COO

Environment: Mid-Market / Enterprise MSP (Multi-client, SLA-driven operations)

Direct Reports: Service Desk Lead, Project Manager / Delivery Lead, Field Service Technicians

Position Summary

The Service Delivery Manager (SDM) is responsible for end-to-end IT service delivery across a mid-market/enterprise MSP environment. This role ensures consistent SLA performance, operational stability, and high-quality customer experience across all managed accounts.

The SDM acts as the primary operational owner of service health—balancing people leadership, escalation management, process discipline, and cross-functional coordination with engineering and project delivery teams.

A key expectation of this role is driving continuous optimization through automation, tooling, and AI enablement to improve efficiency, scalability, and service quality.

This is a highly visible leadership role requiring strong structure, calm decision-making, and the ability to drive accountability across technical and service teams.

Core Responsibilities

Service Delivery & SLA Performance

• Own day-to-day MSP service performance across all clients
• Monitor SLA adherence, ticket aging, backlog health, and service quality metrics
• Leverage dashboards, analytics, and AI-driven insights to proactively identify risks and trends
• Drive continuous optimization of service workflows to improve resolution speed and efficiency
• Serve as final escalation point for service-related issues

Customer Experience & Escalations

• Ensure consistent, predictable, high-quality customer experience
• Lead resolution of high-severity escalations with urgency and professionalism
• Utilize automation and knowledge systems to improve response consistency and speed
• Ensure all escalations are properly documented, resolved, and communicated
• Partner with Account Management on QBRs and strategic client reviews, incorporating service insights and improvement opportunities

Team Leadership & Accountability

• Lead and develop Service Desk, Field Technicians, and Project/Delivery resources
• Drive adoption of automation tools and AI-assisted workflows within the service team
• Conduct regular 1:1s, performance reviews, and coaching sessions
• Build a culture of accountability, continuous improvement, and operational excellence
• Enable teams to reduce manual effort through standardization and intelligent tooling

Operational Excellence, Automation & Process Governance

• Enforce SOPs, runbooks, security policies, and documentation standards
• Identify and eliminate inefficiencies through process optimization and automation
• Maintain PSA hygiene (time entry accuracy, ticket classification, billing integrity)
• Own service cadences including daily huddles and weekly operations reviews
• Continuously improve service delivery processes with a focus on scalability and repeatability
• Champion the use of AI and automation to reduce ticket volume, accelerate resolution, and improve consistency

Engineering & Cross-Functional Coordination

• Partner with Engineering leadership to ensure service stability and support alignment
• Collaborate on automation initiatives, platform optimization, and tool stack effectiveness
• Coordinate on incident response, platform health, and technical debt reduction
• Identify opportunities for AI, scripting, and workflow automation to improve service delivery efficiency
• Ensure engineering resources supporting service delivery are effectively prioritized

Onboarding & Project Oversight

• Ensure new client onboarding is consistent, predictable, and well-executed
• Incorporate automation and standardized processes into onboarding to reduce variability and risk
• Oversee Project/Delivery function to ensure:
• On-time implementation
• Clear communication
• Margin protection
• Minimal post-onboarding escalations
• Continuously refine onboarding to reduce manual effort and improve speed to steady state

Capacity, Optimization & Resource Planning

• Manage staffing levels and resource allocation across service teams
• Use data, forecasting, and automation to optimize resource utilization
• Proactively address workload imbalances and capacity constraints
• Improve efficiency through workload distribution, tooling, and process improvements
• Ensure service coverage aligns with SLA requirements and organizational growth

Key Performance Indicators (KPIs)

• SLA compliance rate
• Ticket backlog health & aging metrics
• Escalation frequency and resolution time
• Onboarding success rate
• Customer satisfaction (CSAT/NPS)
• PSA data accuracy and operational compliance
• Automation adoption rate and efficiency gains (e.g., reduced ticket volume, improved resolution time)

Ideal Candidate Profile

• Calm, structured leader who performs well under pressure
• Strong operational and process discipline mindset
• Data-driven decision maker with strong analytical instincts
• Experience driving automation, process optimization, and AI adoption in service environments
• Proven ability to lead technical and service delivery teams
• Excellent communicator and trust-builder with clients and internal teams
• Experienced in MSP, IT services, or enterprise IT operations environments

Title: Communications Project Manager

Position Type: Long term contract role with potential extensions(12 months to begin with)

Location: This role follows a hybrid work model and can be based in Madison, WI or Cedar Rapids, IA.

Work Arrangement

This role follows a hybrid work model and can be based in Madison, WI or Cedar Rapids, IA

Position Overview

We are seeking a Communications Project Manager to support the development and execution of communications initiatives across multiple business functions. This role will focus on building, managing, and organizing scalable communications workflows and content systems while coordinating projects related to growth initiatives, HR programs, IT security, and safety topics.

The ideal candidate will bring strong project management capabilities and the ability to translate complex business topics into clear, structured communications for stakeholders. This role requires deep familiarity with AI and Large Language Models (LLMs) to help generate, refine, and scale communications content while improving the efficiency, consistency, and repeatability of team workflows.

Success in this role will require a blend of communications strategy, AI-enabled content development, workflow design, and operational project management to partner on how communications are planned, produced, and delivered across the organization.

Key Responsibilities

• Coordinate the development and delivery of communications initiatives across topics such as growth and economic development, employee benefits, performance management, change management, safety initiatives, IT security measures, data centers, and AI-related growth initiatives.

• Organize and manage communications workflows that enable teams to efficiently develop, review, and distribute content across multiple internal audiences.

• Leverage AI and Large Language Model (LLM) tools to support content generation, editing, summarization, and message refinement while maintaining brand voice and strategic messaging.

• Design and maintain repeatable content workflows that improve the scalability and efficiency of communications efforts.

• Manage communication projects and timelines while coordinating with multiple internal stakeholders.

• Utilize Adobe Workfront™ and Microsoft Planner to manage communication tasks, timelines, and approvals.

• Open and close project jobs, monitor schedules, and adjust timelines as needed while communicating updates to project stakeholders.

• Ensure communications adhere to Associated Press (AP) Style Guide, project specifications, and company guidelines.

• Maintain consistent quality, clarity, and accuracy across communications outputs.

Role Allocation

• 40% Growth/Economic initiatives communications coordination and messaging support

• 40% HR, IT, and Safety communications coordination and messaging support

• 20% Project management, workflow optimization, and AI-enabled communications processes

Required Skills & Qualifications

• 3–5 years of experience in marketing, communications or project management

• Experience using CRM, marketing automation, or workflow management systems (e.g., Workfront, HubSpot, Microsoft Planner)

• Strong organizational and project management skills with the ability to manage multiple priorities and deadlines

• Ability to translate complex business topics into clear, structured communications

• Excellent interpersonal, verbal, and written communication skills

• Highly organized, detail-oriented, and able to work effectively under tight deadlines

• Demonstrated experience using AI and Large Language Models (LLMs) to support and accelerate communications workflows

Preferred Qualifications

• Bachelor’s degree in Marketing, Communications, Business, English, or a related field

• Experience working with cross-functional teams and managing communications initiatives in a corporate environment

• Familiarity with prompt engineering, generative AI tools (e.g., Copilot, ChatGPT, Claude), and responsible use of AI in communications workflows.

WHO WE ARE

We’ve built the Governance Layer for Enterprise AI Agents.

As companies deploy agents across core workflows, accountability, auditability, and control are breaking. We sit between enterprises and their agents — enforcing policy, enabling visibility, and providing the compliance infrastructure required to run AI in production.

This is not a feature. It’s critical infrastructure for regulated, high-stakes environments.

ABOUT THE ROLE

We’re looking for a network-driven operator to source and open enterprise partner opportunities, not sell SaaS, but identify real deployments, use cases, and design partners.

You will work directly with the founder to turn relationships into live AI governance use cases inside enterprises.

Your job: find where agents are being deployed, and insert our layer.

WHAT YOU’LL DO

• Activate your network to identify enterprises deploying AI agents (Ops, CX, Finance, Compliance)
• Open doors with C-level, Heads of AI, Engineering, Risk, and Operations
• Drive partner conversations from first touch → use case → design partnership
• Qualify where governance, auditability, and control gaps exist
• Build and manage a tight pipeline of partner opportunities
• Arm the founder with context, stakeholders, and deal dynamics
• Represent the company in high-trust environments (small rooms, not booths)
• Feed back market signals: where agents are breaking, what enterprises need to deploy at scale

WHAT THIS IS NOT

• Not transactional SaaS closing
• Not SDR/cold dialing
• Not marketing or events
• Not investor relations

WHAT YOU BRING

• 3–7 years in high-trust, network-driven roles (VC, banking, consulting, partnerships, early enterprise sales)
• A real network inside enterprises or adjacent ecosystems (cloud, consulting, data, AI)
• Ability to translate technical systems into business risk + opportunity
• Strong instinct for where deals and use cases actually happen
• High ownership — you create surface area, not wait for it

BOTTOM LINE

• This is a hunter role for enterprise AI partners.
• If you can open doors where AI agents are already in motion, you’ll win here.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Locations: United States

About the job you’re considering

We are seeking a dynamic and experienced Delivery , Solutioning, Senior Pre-Sales & Go-to-Market (GTM) expert to drive our SAP Data & Analytics practice growth. This role combines strategic market planning with hands-on pre-sales and solutioning expertise. You will collaborate closely with sales, delivery, marketing, and alliance teams to create compelling value propositions and win strategic SAP deals focused on data and analytics (including SAP Datasphere, SAC, BTP, MDG, BDC, BODS/Syniti and related technologies)

You Role:

Go-to-Market Strategy:

• Develop and execute GTM strategies for SAP Data & Analytics offerings
• Identify high-growth areas (e.g., S/4HANA migrations, Data Governance, Datasphere adoption, BDC, AI/ML on SAP data)
• Collaborate with SAP alliance and marketing teams on campaigns, events, and solution launches
• Track market trends, competitor offerings, and customer needs to refine strategy

Pre-Sales & Solutioning:

• Lead pre-sales engagements including discovery, RFP responses, solution design, orals and client presentations
• Conduct client workshops and articulate value propositions across industries and SAP landscapes
• Design and propose end-to-end SAP Data & Analytics architectures leveraging BTP, Datasphere, SAC, HANA, MDG, BDC etc.
• AI in everything we do – must have experience in proposing AI-based solutions for the entire solution portfolio (ability to draw the solution architecture and estimate the staffing and cost)
• Create reusable solution accelerators, demos, and sales collateral with delivery teams

Sales Enablement:

• Support SAP sales and account teams with opportunity shaping and deal closure
• Build and manage a pipeline of opportunities and drive them through the sales lifecycle
• Educate internal teams on SAP data and analytics offerings and GTM playbooks

Thought Leadership:

• Represent the company in SAP events, webinars, and industry forums
• Publish blogs, whitepapers, and thought leadership content on data and analytics trends in SAP ecosystem
• Orchestrate solutions using AI

Required skills:

• 15+ years of experience in SAP ecosystem with deep expertise in Data & Analytics (either deep delivery experience of multiple global deployments or deep pre-sales experience)
• Strong knowledge of Data migration tools and methodology, Data Quality, SAP Datasphere, SAP BTP, SAC, MDG, SAP BDC and integration with non-SAP tools
• Strong knowledge of AI and how to design/deliver AI-native solutions in the Data and Analytics space
• Proven track record in pre-sales, GTM planning, and enterprise solutioning
• Experience working in or with consulting and services organizations
• Ability to engage C-level stakeholders with business and technical messaging
• Excellent communication, storytelling, and proposal writing skills
• Experience working with SAP alliance teams is a plus

The base compensation range for this role in the posted location is: $121,500 - $268,170

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Associate Director of Communications Systems

Arlington, VA (On-Site)

About Us

Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today!

Overview

Ennoble Care is seeking an Associate Director of Communications Systems to own our Dialpad and Zoho CRM platforms end to end—from day-to-day administration to the analytics that drive operational decisions for clinical leadership and the C-suite.

This is not just a systems administration role. You'll inherit active automation projects in Zoho (workflow rules, field permissions, validation logic, cross-module integrations) and a growing analytics practice around Dialpad call data (transfer acceptance rates, queue performance, agent productivity). You'll be expected to build on both—and you'll have AI tools at your disposal to do it. We're actively using AI to automate workflows, analyze call data, and eliminate manual processes across both platforms. You'll be expected to leverage these tools to move faster than a traditional admin ever could.

You'll report directly to the CIO and have regular visibility with the COO and executive leadership. This position is on-site at our Arlington, VA corporate headquarters.

Key Responsibilities

Dialpad Administration & Analytics (~610 users across 15+ offices and 11 states)

• Manage user provisioning/deprovisioning, license management (Connect vs Contact Center), number assignment, and extensions

• Configure and optimize call routing, IVR structures, queues, and office/department setup

• Build and maintain performance dashboards for clinical operations leadership—transfer acceptance rates (warm vs cold), queue performance, agent productivity, ring timeout analysis, voicemail detection

• Leverage AI tools to automate call data analysis, anomaly detection, and recurring reporting

• Track and report on KPIs weekly: call answer rate, abandon rate, average speed to answer, queue wait time

• Conduct root cause analysis when performance dips—whether it's a routing issue, a training gap, or a staffing constraint

• Serve as primary technical contact with Dialpad support and account team

• Troubleshoot call quality issues, agent status problems, and routing errors

Zoho CRM Administration & Automation (~50+ liaisons, scaling to 100+)

• Manage user creation, role/profile management, field-level permissions, module configuration, and layout customization

• Own and extend existing workflow automations—bonus point calculations, pathway expiration enforcement, focused pathway caps, cross-module lookups (house call / hospice), referral-to-liaison mapping

• Drive data integrity: account deduplication, referral source accuracy, sync monitoring between Zoho, OA (OperationsAccel), and MatrixCare

• Build liaison performance dashboards and automate the pulse report

• Reduce bonus reconciliation from ~16 hours/month of manual work to near-zero through automation

• Use AI-assisted development to build and iterate on Zoho workflow rules, validation logic, and cross-module integrations faster

Integrations & Cross-Platform

• Coordinate user lifecycle (provisioning/deprovisioning) across Dialpad and Zoho as part of onboarding/offboarding workflows

• Maintain integrations between Dialpad, Zoho, CallRail, and other systems

• Monitor sync reliability between Zoho, OA, and the Dialpad data warehouse (Azure SQL)

• Support other no-code/low-code tools (Scribe, Keragon, Emitrr) as needed

Performance Monitoring & Reporting

• Track and report on Dialpad and Zoho KPIs weekly to leadership

• Identify trends and proactively address issues before they impact metrics

• Support Operations Analyst with data extraction for deeper analysis

Documentation & Training

• Create and maintain system documentation, runbooks, and SOPs

• Develop training resources to improve adoption and reduce errors

• Conduct end-user training for new hires and existing staff

What Success Looks Like

• You own Dialpad and Zoho administration completely—user provisioning, routing changes, and system configuration no longer route through the helpdesk or the CIO

• Leadership gets recurring, self-service visibility into call center performance and liaison productivity without asking for it

• Manual reconciliation work that currently takes 16+ hours/month is automated or eliminated

• When something breaks or trends in the wrong direction, you catch it before anyone else does

Qualifications

Required

• 3+ years of experience administering a cloud communications platform (Dialpad, RingCentral, 8x8, Five9, or similar)

• 2+ years of experience administering a CRM (Zoho CRM strongly preferred; Salesforce acceptable)

• Hands-on experience building CRM automations—workflow rules, validation rules, field-level security, cross-module lookups

• Comfortable writing SQL queries for analytics (you'll query an Azure SQL data warehouse—and use AI tools to accelerate query development and analysis)

• Experience building dashboards or reports in Power BI, Looker, or similar

• Strong analytical skills—able to interpret data and identify root causes

• Excellent communication skills with ability to present metrics to leadership

• Strong attention to detail—you'll reconcile bonus payments where errors directly impact employee compensation

• Ability to work on-site in Arlington, VA

Preferred

• Zoho CRM administration certification

• Experience with Zoho-to-external-system integrations (webhooks, APIs, middleware like Zoho Flow)

• Healthcare industry experience (home health, hospice, or multi-site provider groups)

• Experience with Dialpad specifically (API, webhooks, admin console, contact center configuration)

• Familiarity with data warehousing concepts and ETL pipelines

• Experience using AI/LLM tools (Claude, ChatGPT, Copilot) to accelerate technical work—writing automations, analyzing data, building integrations

• Background in contact center operations (not just IT administration)

What We Offer

• Ownership of two mission-critical platforms with direct impact on business performance

• Direct visibility with CIO, COO, and executive leadership

• AI-forward team—you'll have enterprise AI tools and an automation backlog with clear ROI from day one

• Growing organization—the systems you build now will scale with 2x liaison headcount and continued M&A expansion

• Competitive compensation and benefits package

• Career growth opportunities within IT and operations

Compensation

Salary Range: $90,000 - $110,000 with 10% Bonus based on Annual KPIs

Benefits

Full-time employees qualify for the following benefits:

• Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity

• Paid Time Off

• Paid Office Holidays

All employees qualify for these benefits:

• Paid Sick Time

• 401(k) with up to 3% company match

• Referral Program

• Payactiv: pay-on-demand — cash out earned money when and where you need it!

Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.

Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

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/