Elaboration Likelihood Model 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.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

Relocation Statement:

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

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-SM4

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:

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the well-being of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Atlanta, GA

About the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology

The School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology is one of the largest producers of electrical engineers and computer engineers in the United States. Almost 2,600 students are enrolled in the School's graduate and undergraduate programs, and in the last academic year, 801 degrees were awarded. All ECE undergraduate and graduate programs are in the top five of the most recent college rankings by U.S. News & World Report.

In addition to the main campus in Atlanta, Georgia, ECE also has permanent operations at Georgia Tech-Lorraine in France. Graduate students who spend at least one semester each at of the Georgia Tech locations (Atlanta, Lorraine, on two continents, North America and Europe) can earn the Georgia Tech Global Engineering Immersion Program (GEIP) Certificate when they receive the Georgia Tech M.S. degree.

Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design: and the School is either home to or a key player in almost 20 research centers and consortia.

ECE is key to Georgia Tech's growing reputation as an internationally recognized educational and research and development university. ECE is firmly committed to sustaining excellence in traditional areas of strength and venturing into burgeoning areas of opportunity.

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few.

1. Research Leadership in Foundation Models, World Models, and Frontier AI

• Lead and execute advanced research programs in large-scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self-supervised learning at scale.
• Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi-agent environments.
• Develop GPU-, TPU-, and cluster-optimized training frameworks, distributed training systems, and inference-time optimization pipelines for next-generation AI models.
• Publish high-impact papers in top AI/ML venues, release open-source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities.

2. Lab Management and AI Compute Infrastructure Operations

• Oversee daily operations of the AI research lab, including GPU clusters, high-performance storage, distributed training stacks, and data governance frameworks.
• Manage, maintain, and expand high-performance compute infrastructure: multi-node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks.
• Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets.
• Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large-scale evaluation.

3. Affiliate Engagement, Business Development, and Partnerships

• Engage, onboard, and support affiliate companies participating in the AI and foundation model research program.
• Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users.
• Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations.
• Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer.

4. Project Management and PhD Mentorship

• Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large-scale representation learning.
• Manage multi-PI, multi-institution, and affiliate-funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction.
• Provide technical direction on model design, dataset creation, training strategies, evaluation, experiment planning, scheduling, milestones, and results dissemination.

Research Scientist/Engineer I

Bachelor's Degree in Electrical Engineering, Physics, or related area.

Research Scientist/Engineer II

• A Master's degree and three (3) years of relevant full-time experience after completion of that degree,
• A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree.

Senior Research Scientist/Engineer

• A Master's degree and seven (7) years of relevant full-time experience after completion of that degree,
• A Master's degree and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree and four (4) years of relevant full-time experience after completion of a Bachelor's degree.

• PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development.
• Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems.
• Hands-on experience with large-scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines.
• Demonstrated experience mentoring students or leading technical AI teams.
• Strong communication and presentation skills for both technical and non-technical audiences.

Linda Dillon, Lucretia Allen or Shalonda Williams at

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Description

Seeking an AI/ML Operations professional for the following role -

Overall Responsibilities

• Manage operational workflows for model deployments, updates, and versioning across GCP, Azure, and AWS.
• Monitor model performance metrics: latency, throughput, error rates, token usage, and inference quality
• Track model drift, accuracy degradation, and performance anomalies - escalating to engineering as needed.
• Support knowledge base operations including vector embedding pipeline health, chunk quality, and refresh cycles in Vertex AI.
• Maintain model inventory and documentation across multi-cloud environments.
• Coordinate model evaluation cycles with Responsible AI and Core Engineering teams

Agent & MCP Server Operations

• Monitor AI agent health, performance, and reliability (AutoGen-based agents, MCP servers)
• Track agent execution metrics: task completion rates, tool call success/failure, latency, and error patterns
• Support agent deployment and configuration management workflows
• Document agent behaviors, known issues, and operational runbooks
• Coordinate with Core Engineering on agent updates, testing, and rollouts
• Monitor MCP server availability, connection health, and integration status

FinOps & Cost Management

• Track and analyze AI/ML cloud spend across GCP (Vertex AI), Azure (OpenAI), and AWS (Bedrock)
• Build cost dashboards with breakdowns by model, application team, use case, and environment.
• Monitor token consumption, inference costs, and embedding/storage costs.
• Identify cost optimization opportunities - model selection, caching, batching, rightsizing.
• Provide cost allocation reporting for chargeback/showback to consuming application teams.
• Forecast spend trends and flag budget anomalies.
• Partner with Infrastructure and Finance teams on AI cost governance.

Monitoring, Dashboarding & Reporting

• Build and maintain dashboards for platform performance, model health, agent metrics, and operational KPIs.
• Create executive and stakeholder reports on platform adoption, usage trends, and cost allocation.
• Develop Responsible AI dashboards tracking hallucination rates, accuracy metrics, guardrail triggers, and safety incidents.
• Monitor APIGEE gateway traffic patterns and API consumption trends.
• Provide regular reporting to product management on use case performance.

Release Operations Support

• Support release management processes with pre/post-deployment validation checks.
• Track release health metrics for models, agents, and platform components.
• Maintain release documentation, runbooks, and operational playbooks.
• Coordinate with QA, Performance Engineering, and Infrastructure teams during releases.

AI Operations

• Monitor guardrail effectiveness and flag anomalies to the Responsible AI team.
• Track and report on hallucination detection, content safety triggers, and accuracy trends.
• Support LLM Red Teaming efforts by collecting and organizing evaluation data.
• Maintain audit logs and compliance documentation for AI governance.

Cross-Functional Coordination

• Serve as operational point of contact for application teams consuming DxT AI APIs.
• Coordinate with Corporate Security on audit requests and compliance reporting.
• Partner with Infrastructure team on capacity tracking and resource utilization.
• Support Performance Engineering with load test analysis and results documentation.

Basic Qualifications

• 2-4 years in an Ops, Analytics, or Technical Operations role (MLOps, AIOps, DataOps, Platform Ops, or similar)
• Understanding of AI/ML concepts: models, inference, embeddings, vector databases, LLMs, tokens, prompts.
• Experience with cloud cost management and FinOps - tracking, analyzing, and optimizing cloud spend.
• Strong proficiency with dashboarding and visualization tools (Looker, Tableau, Grafana, or similar)
• Working knowledge of GCP (required); familiarity with Azure and AWS a plus.
• Comfortable with SQL and basic Python for data analysis and scripting.
• Experience with monitoring and observability platforms (Datadog, Prometheus/Grafana, Cloud Monitoring, or similar)
• Understanding of APIs and API gateways - ability to read logs, trace requests, analyze traffic.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills - able to translate technical metrics into stakeholder insights.
• College degree in Computer Science, BIS, MIS, EE, ME or similar is required.

Preferred Qualifications

• Hands-on experience with LLM platforms: Vertex AI, Azure OpenAI, AWS Bedrock
• Familiarity with AI agents and agentic architectures (AutoGen, LangChain, or similar)
• Exposure to MCP (Model Context Protocol) or agent-tool integration patterns.
• Experience with vector databases and RAG (Retrieval-Augmented Generation) operations.
• Understanding of MLOps lifecycle: model registry, versioning, deployment patterns, A/B testing
• Experience with APIGEE or similar API management platforms.
• Familiarity with Responsible AI metrics - hallucination, bias, content safety, guardrails.
• FinOps certification or formal cloud cost management experience.
• Experience supporting enterprise platform teams with multiple consuming applications.
• Familiarity with ML pipeline tools (Kubeflow, MLflow, Vertex AI Pipelines)
• Exposure to prompt management and evaluation frameworks.
• ITIL or operational process framework experience.
• Experience creating runbooks and operational documentation.

Education

• BE/BS in Computer Science, Business Information Systems, Management Information Systems, Electrical Engineering, Mechanical Engineering or similar

The estimated pay range for this position is USD $70.00/hr - USD $77.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

Senior Finance Manager

We’re hiring a highly technical Senior Finance Manager to help shape enterprise financial strategy as a real assets platform moves from rapid growth into a more institutional operating model.

This position blends corporate finance, portfolio-level analytics, and structured capital markets work. You’ll be the “modeling engine” for leadership—building institutional-quality models from the ground up and translating outputs into clear recommendations around capitalization, liquidity, and long-term value creation.

You’ll partner closely with senior decision-makers to consolidate portfolio cash flows, evaluate recapitalization paths, test securitization/structured finance options, optimize cost of capital, and uphold rigorous underwriting and diligence standards.

Key Responsibilities

1) Corporate & Portfolio Financial Strategy

• Create and maintain fully integrated three-statement corporate financial models
• Build portfolio roll-ups that consolidate asset-level operating performance and cash flows
• Evaluate recapitalization outcomes (e.g., buyout, minority/structured equity, alternative capital solutions)
• Model securitization concepts backed by stabilized affordable-housing cash flows
• Assess valuation, NAV, and cost-of-capital implications across scenarios
• Deliver sensitivity and scenario analysis to support capital allocation decisions

2) Capital Markets & Capital Stack Optimization

• Analyze refinancing approaches and structured debt alternatives
• Model multi-tranche debt structures and distribution waterfalls
• Support leverage strategy, liquidity planning, and covenant monitoring
• Produce investor-ready materials, return analytics, and capital partner reporting
• Assist with negotiations alongside lenders, equity partners, and other institutional counterparties
• Ensure adherence to JV structures, loan terms, and related compliance requirements

3) Advanced Modeling & Decision Analytics

• Build/upgrade LBO, cash flow waterfall, portfolio coverage, and capital pacing models
• Develop distribution schedules and liquidity/runway projections (13-week and longer-range)
• Standardize modeling templates to improve repeatability and controls
• Provide crisp, decision-ready insights to senior leadership

4) Affordable Housing Underwriting & Transaction Support (LIHTC-focused)

• Oversee underwriting for development and acquisition opportunities
• Improve underwriting tools and submission processes for tax credit transactions
• Lead financial diligence, data room readiness, and documentation hygiene
• Support debt, tax credit equity, and transaction closing activities
• Coordinate with internal teams and external stakeholders through execution

5) FP&A Leadership

• Own consolidated budgeting and forecasting
• Convert property-level data into corporate dashboards and management reporting
• Drive variance analysis, risk identification, and forecasting accuracy improvements
• Implement QA standards and financial controls across models and reporting
• Coach junior talent and raise the technical modeling bar

Ideal Profile

• 6–10 years of experience in real estate private equity, structured finance/credit, infrastructure investing, corporate development, real estate investment banking, or REIT/real assets FP&A
• Expert-level Excel skills with the ability to build models from a blank sheet
• Hands-on experience with: three-statement models, 13-week cash flow, LBO, portfolio roll-ups, waterfalls, and multi-tranche debt structures
• Strong understanding of capital stack mechanics and return metrics (IRR, MOIC, DSCR, ICR)
• Executive-ready communication: can explain complex outputs clearly and concisely
• Real estate background helpful, but high-caliber technical modelers from adjacent verticals are welcome

Technical Strengths

• Institutional-grade financial modeling
• Capital structure strategy and optimization
• Enterprise valuation and NAV frameworks
• Securitization / structured cash flow modeling
• Debt tranching, coverage, and covenant analytics
• Liquidity forecasting and runway analysis
• Advanced Excel (Power Query/Power Pivot preferred)
• Investor reporting and performance analytics

Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas,Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.

The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.

The AI Finance Senior Manager will work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.

As a Senior Manager, you will play a pivotal role in leading engagement delivery and managing client relationships. Your time will be spent across various responsibilities, including:

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• Leading the design and delivery of system architecture solutions in collaboration with technical teams.

  
  

• Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.

  
  

• Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.

  
  

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• Proven ability to manage and deliver complex solutions.

  
  

• Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.

  
  

• Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.

  
  

• Managing expectations of client service delivery.

  
  

• Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.

  
  

• Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.

  
  

• Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications

  
  

• Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies

  
  

• Leading the design and implementation of an extensible common information model for the FDL Blueprint

  
  

• Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps

  
  

• Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security

  
  

• Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL

  
  

• Supporting the establishment and maintenance of a robust data governance framework for the FDL

  
  

• Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications

  
  

• Ability to travel as required for client engagements and project needs.

  
  

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• Bachelor\'s degree in Finance, Accounting, Business, Computer Science

  
  

• Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:

  
  

• Strategic financial planning, budgeting, and forecasting processes

  
  

• Financial modeling and scenario analysis

  
  

• Variance analysis and management reporting

  
  

• Cross-functional collaboration with business stakeholders

  
  

• Strong proficiency with EPM (Enterprise Performance Management) platforms, including hands-on experience with solutions such as:

  
  

• Anaplan (Certified Model Builder preferred)

  
  

• Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS)

  
  

• Oracle Hyperion

  
  

• OneStream, Tagetik, or similar platforms

  
  

• Solid understanding of financial data architecture and governance, including:

  
  

• Financial data modeling and dimensional design

  
  

• Chart of accounts structuring and hierarchy management

  
  

• Data quality standards and reconciliation processes

  
  

• Master data management for finance applications

  
  

• Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow)

  
  

• Excellent communication, collaboration, and problem-solving skills

  
  

• Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies

  
  

• Strong business skills including relationship management, commercial awareness, and communication.

  
  

• Strong analytical and problem solving skills as well as excellent oral and written communication skills

  
  

• A willingness to travel to meet client needs.

  
  

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• Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred

  
  

• A strong ability to adapt to changing technology landscapes and stay ahead of industry trends.

  
  

• Exceptional interpersonal skills to foster team collaboration and client trust.

  
  

• A proactive approach to problem-solving and decision-making.

  
  

• Experience in leading diverse teams in dynamic environments.

  
  

We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet the evolving demands of the industry.

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

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• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $171,600 to $392,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $205,900 to $445,700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  
  

• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

  
  

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

  
  

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

About Us:

JP Ecommerce (dba Bare Home) has been named one of the top-ten, fastest growing businesses in Minnesota by Inc. 5000 for the past four years in a row. We provide customers with high-quality bedding through our brand Bare Home. As a leading textile retail company, we source premium products from key regions including China, India, Pakistan, and Turkey. Our commitment to excellence has earned us a reputation as an industry leader in sustainable and ethical textile sourcing.

Position Overview:

As a Senior Financial Analyst, you'll serve as a strategic financial partner to our CFO in our $100M+ bedding and mattress business, driving critical cash flow management, cost analysis, and pricing strategy across our complex multi-platform ecommerce operations. This role requires a versatile financial professional who can tackle any financial challenge—from building 13-week cash flow forecasts to optimizing landed costs across 6,000+ SKUs to analyzing profitability by platform and promotional strategy.

This position offers exceptional growth opportunities for an experienced financial analyst ready to become a trusted advisor to executive leadership in a high-growth environment where your analytical insights directly impact company profitability and strategic decisions.

Key Responsibilities:

Cash Flow Management & Financial Forecasting:

• Develop and maintain comprehensive cash flow forecasting models including 13-week rolling forecasts and long-range cash projections
• Monitor daily/weekly cash positions and provide proactive recommendations for working capital optimization Analyze cash conversion cycles and identify opportunities to improve
• Days Sales Outstanding (DSO), inventory turns, and vendor payment timing
• Partner with CFO on cash management strategy, credit line utilization, and liquidity planning
• Build scenario models for cash flow impacts of business decisions including expansion, inventory investments, and seasonal fluctuations

Cost Analysis & Profitability Management:

• Analyze true costs and profitability across channels, platforms, SKUs, and product lines to identify where the business makes or loses money
• Evaluate comprehensive cost structures including COGS, landed costs, duty calculations, freight, platform fees, and total cost of ownership
• Conduct detailed margin analysis by product category, sales channel (Amazon, Walmart, Target, ), and promotional activity Identify cost variance drivers and provide actionable recommendations for margin improvement and cost optimization
• Partner with operations and procurement teams to validate cost data accuracy and drive cost reduction initiatives

Pricing Strategy & Competitive Analysis:

• Develop pricing strategies for multi-platform ecommerce operations balancing competitive positioning with profitability goals
• Analyze promotional pricing effectiveness and margin impact across different sales channels and product categories
• Conduct competitive pricing analysis and market positioning research to inform strategic pricing decisions
• Evaluate price elasticity and recommend optimal pricing for new product launches and existing SKU optimization
• Track platform-specific fee structures (Amazon, Walmart, Target) and incorporate into pricing and profitability models

Financial Planning & Analysis (FP&A):

• Lead annual budgeting process and monthly/quarterly forecasting cycles with detailed variance analysis and commentary
• Build financial models for strategic initiatives including facility expansion, international sourcing decisions, and capital investments
• Develop executive dashboards and KPI reporting frameworks using Power BI for CFO and CEO decision-making
• Analyze business performance trends and provide insights on revenue drivers, cost trends, and profitability improvements
• Support monthly financial close process with variance analysis, trend reporting, and actionable business insights

International Trade & Supply Chain Financial Analysis:

• Analyze financial impacts of international sourcing decisions across China, India, Pakistan, and Turkey considering tariffs, duties, and trade restrictions
• Evaluate landed cost components including freight costs, customs fees, currency fluctuations, and total supply chain costs Assess VAT, tax, and tariff implications on product pricing and overall business profitability
• Support real estate and facility decisions with financial analysis including lease vs. buy evaluations and expansion ROI modeling

Strategic Financial Partnership:

• Serve as trusted financial advisor to CFO/CEO on complex business questions requiring analytical problem-solving
• Present financial analysis and strategic recommendations to executive leadership with clear, actionable insights
• Collaborate cross-functionally with operations, inventory, procurement, marketing, and finance teams
• Translate complex financial data into business insights that drive strategic decision-making

Qualifications & Experience:

Required Experience:

• 7-10 years of progressive financial analysis experience with demonstrated expertise in FP&A, cost analysis, and pricing strategy
• Strong background in retail, manufacturing, ecommerce, or consumer products with complex cost structures and multi-channel operations
• Proven experience building and maintaining cash flow forecasting models and working capital management
• Experience analyzing profitability across multiple channels, platforms, or business units with detailed cost allocation
• Background in international business, supply chain finance, or import/export cost analysis preferred
• Track record of translating financial analysis into actionable business recommendations for executive leadership

Technical Skills - Must Have:

• Expert-level Excel proficiency including advanced formulas, pivot tables, complex financial modeling, macros, and scenario analysis
• Advanced Power BI skills for dashboard creation, data visualization, and executive reporting SQL proficiency for data extraction, manipulation, and complex financial reporting
• Strong financial modeling capabilities for forecasting, budgeting, scenario planning, and ROI analysis
• Experience with data analytics platforms and ability to work with large datasets across multiple systems

Financial & Business Acumen:

• Deep understanding of P&L management, margin analysis, and cost accounting principles Knowledge of cash flow management, working capital optimization, and liquidity planning Understanding of ecommerce marketplace dynamics including platform fee structures and channel profitability
• Familiarity with international trade finance including tariffs, duties, VAT, landed cost analysis, and currency impacts

Preferred Qualifications:

• NetSuite ERP experience (we're implementing soon) with focus on financial planning and reporting modules
• Bachelor's degree in Finance, Accounting, Economics, Business Analytics, or related quantitative field
• Multi-industry exposure (retail + manufacturing + real estate) demonstrating versatility and broad business knowledge
• Experience in textile, home goods, bedding, or consumer products industries with complex international supply chains

What Makes You Successful:

• Versatile financial problem-solver who can tackle any analytical challenge from cash flow to cost optimization to pricing strategy
• Strong business acumen with ability to connect financial data to operational realities and strategic decisions
• Exceptional analytical skills with meticulous attention to detail when working with complex datasets and financial models
• Strategic thinker who can see the big picture while maintaining tactical excellence in day-to-day analysis
• Proactive and solutions-oriented mindset—you don't just report numbers, you provide insights and recommendations
• Self-starter who thrives in entrepreneurial environments where priorities shift and no two days are the same Intellectual curiosity and eagerness to learn new aspects of the business beyond traditional finance functions

Work Environment:

• 100% On-site position in Forest Lake, MN Monday-Friday, 8:00 AM - 4:30 PM
• Collaborative, entrepreneurial culture where your ideas quickly become action
• Direct partnership with CFO with high visibility and impact on strategic decisions Fast-paced environment where analytical insights drive real business decisions and company growth

Compensation & Benefits:

• Competitive salary range: $90,000 - $130,000 (commensurate with experience)
• Performance-based bonus opportunities Medical, Dental, and Vision Insurance STD and Life Insurance, Paid Family Leave, 401(k) with Company Match
• Paid Time Off and Holidays Professional development opportunities in a rapidly growing company

Application Process:

To be considered for this strategic opportunity, please submit:

• Detailed resume highlighting FP&A, cash flow management, cost analysis, and pricing experience with specific examples of financial modeling and business impact
• Brief cover letter describing your approach to complex financial problem-solving and experience working across multiple business functions (finance, operations, supply chain) Specific experience breakdown with Excel, Power BI, SQL, and financial modeling tools
• Examples of financial analysis projects that drove meaningful business decisions or profitability improvements

Submit your application to: or

Come see us: Bare Home, we strive to create a culture where all people come first. We are committed to attracting and retaining a diverse workforce. Therefore, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Bare Home is an equal-opportunity employer, and by doing so, we aim to sustain and promote an inclusive culture that supports future growth for all.

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.

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Job Overview: As the Manager of Product and Projects you will play a critical role in helping to drive the company’s transition to the product operating model while owning the vision, strategy, and execution of key initiatives. Your leadership will be central in reshaping how we develop, deliver, and optimize our digital products, collaborating closely with cross-functional teams to ensure that products are customer-centric, data-driven, and aligned with the business goals. This is a hands-on, exceptional opportunity for a product leader with a passion for omnichannel retail, ecommerce, and transformation who isn’t afraid to roll up their sleeves and personally manage their roadmap, including drafting user stories, etc.

Essential Duties and Responsibilities:

• Mentorship & Talent Development: Provide thought leadership and mentorship to product & project managers and team members, fostering a collaborative environment where innovation can thrive, and product delivery excellence is prioritized.
• Agile Transformation: Champion the implementation of agile product development practices, ensuring product teams are empowered to quickly iterate and release high-impact features that solve key customer problems and drive business growth.
• Stakeholder Management: Partner with key internal stakeholders including marketing, engineering, design, and supply chain to ensure alignment and visibility on product priorities, roadmaps, and outcomes.
• Hands-On Execution: Lead from the front. Personally conduct discovery exercises, customer sessions, UI/UX feedback sessions, etc. Personally build roadmaps, user journeys, and Epic roadmaps. Personally write user stories, with an emphasis on modeling how to eliminate ambiguity and by specifying requirements in exacting detail for engineers.
• Cross-Functional Collaboration: Lead and mentor cross-functional teams including product managers, designers, engineers, marketers, and data analysts to ensure seamless execution of product initiatives. Foster a culture of innovation, collaboration, and continuous improvement.
• Product Roadmap Ownership: Develop and manage a comprehensive ecommerce product roadmap that aligns with both customer needs and business objectives, balancing short-term tactical goals with long-term strategic initiatives. Own the OKRs and KPIs of your backlog and be comfortable defending the ROI of every decision you make.
• Product Operating Model Transition Advocacy: Help socialize and influence the company-wide transition to the product operating model, guiding teams to adopt agile methodologies, cross-functional collaboration, and product-focused leadership practices.
• Customer-Centric Product Development: Ensure the development of highly optimized, user-centric ecommerce experiences that meet customer needs, enhance satisfaction, and improve conversion rates across web, mobile, and digital channels.
• Data-Driven Decision Making: Utilize data analytics, A/B testing, customer feedback, and performance metrics to inform product decisions and optimize product features. Lead the use of metrics such as customer lifetime value (CLV), conversion rate optimization (CRO), average order value (AOV), and other KPI’s. Be comfortable with continuously proving the ROI of every idea you prioritize.

Qualifications:

• Experience: 5+ years of experience in product & project management, with at least 5+ years in leadership roles driving transformation initiatives, particularly in adopting the product operating model or agile frameworks.
• Leadership & Influence: Exceptional leadership and mentoring skills with the ability to inspire teams, influence stakeholders, and guide senior leadership through complex product transitions.
• Product Strategy Expertise: Strong experience in crafting and executing product strategies, including product lifecycle management, roadmap development, and performance optimization.
• Project Management: Ability to juggle multiple priorities, manage deadlines, and execute efficiently in a fast-paced environment.
• Agile & Product Operating Model Knowledge: Deep understanding of Agile methodologies, including Scrum and Kanban, as well as best practices for implementing and scaling the product operating model across an organization.
• Data-Driven Mindset: Strong analytical skills with a proven ability to leverage data, customer insights, and analytics tools (e.g., Google Analytics, MS Clarity, Medallia, etc.) to drive product decisions.
• Customer-Focused: A passion for understanding customer needs and behaviors, with experience using tools like customer journey mapping, UX/UI best practices, and user feedback to shape product decisions.

Preferred Qualifications:

• Experience with enterprise-scale ecommerce platforms and tools.
• Familiarity with cloud technologies and data-driven ecommerce optimization.
• Familiarity with personalization tools and techniques.
• Expertise in technical SEO optimization, mobile optimization and multi-device strategies is a plus.
• Previous experience in digital transformation or implementing the product operating model in a mid to large-sized organization.

Education/Experience:

• Bachelor’s degree required
• Advanced degree (Master’s) preferred but not required

Supervisory Responsibilities:

• Directly manages Product and Project managers
• Responsible for hiring, onboarding, coaching, performance management, and career development of database staff
• Provides technical leadership and day-to-day direction, including workload prioritization and operational coverage
• Leads incident response and escalation for database-related issues

Work Environment/Physical Demands:

The work environment characteristics and physical demands described are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• This position is considered sedentary. While performing the duties of this job, the employee is regularly required to, stand, sit; talk, hear, and use hands and fingers to operate a computer and telephone keyboard reach, stoop kneel to install/move computer equipment
• The employee may be required to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. Involves sitting most of the time, but may involve walking or standing for brief periods of time
• Specific vision abilities required by this job include near acuity at 20 inches or less due to computer work
• While performing the duties of this job, the employee will experience a moderate noise level (i.e. business office with computers, phone, and printers, light traffic)

Travel Requirements:

This position does not require travel.

Sportsman’s Warehouse is an Equal Opportunity Employer.

About TYR Sport

TYR Sport is one of the most recognized and respected performance athletic brands in the world. Named for the Norse god of valor and sacrifice, TYR was founded on the belief that the pursuit of excellence demands the finest tools. Today, TYR is the second-largest performance swimwear brand in North America, with products distributed in more than 30 countries and annual revenue exceeding $100 million. The brand’s portfolio spans competitive swimwear, triathlon gear, training apparel, footwear, and equipment — all engineered for athletes who train with intent and compete with purpose.

TYR’s digital infrastructure is anchored by a Shopify Plus ecommerce platform supported by an expanding suite of technology integrations, including product information management tools and digital marketing platforms. As TYR accelerates its global digital business, the company is making a major investment in artificial intelligence to build a next-generation customer experience that unifies ecommerce, marketing, and sales into a single intelligent ecosystem.

The Opportunity

This is TYR’s most senior AI role. The Director of Artificial Intelligence will lead the company’s AI strategy, own the technical roadmap, and be accountable for AI’s impact on revenue, growth, and competitive advantage.

Reporting directly to the Chief Operating Officer or Chief Executive Officer, this leader will build TYR’s AI function from the ground up, initially as a hands-on individual contributor. The Director will define the strategy, infrastructure, and operating framework that will shape the company’s technological future. As the function matures, there will be an opportunity to build and lead a dedicated AI team.

The Director will operate as a peer to other functional leaders, with the authority to drive AI adoption across the organization, including ecommerce, marketing, sales, supply chain, and operations.

The primary commercial focus of this role is TYR’s digital business. Ecommerce and marketing are the highest-priority domains, and the Director will be expected to deliver measurable results in these areas first. This leader will transform TYR’s digital storefront into a personalized, AI-driven shopping experience and help evolve marketing into a precision, data-driven growth engine.

The ideal candidate is a seasoned AI practitioner who can operate strategically while remaining deeply hands-on — someone who has built and deployed high-impact AI products in ecommerce, retail, or consumer environments and can confidently influence senior leadership.

Core Responsibilities

Enterprise AI Leadership

Serve as the single point of leadership for artificial intelligence across TYR. Define the company’s AI vision, establish strategic priorities, and oversee architectural and investment decisions. Develop and maintain a multi-year AI roadmap aligned with TYR’s growth strategy, and communicate progress and outcomes to executive leadership.

Establish the processes, governance frameworks, and technical foundations necessary to scale AI innovation across the organization.

Ecommerce Intelligence and Personalization

Lead the transformation of TYR’s digital storefront into a personalized and intelligent shopping experience.

Develop and deploy recommendation engines that surface the right products to the right customers across the digital journey, including homepage, product pages, cart, and post-purchase interactions. Build AI-driven search and product discovery tools that improve findability and reduce friction in the purchasing process.

Design dynamic pricing and promotion models that optimize both margin and conversion, leveraging behavioral signals, purchase history, and inventory data.

Develop a unified customer intelligence platform that enables TYR to understand, predict, and influence customer behavior across the full lifecycle. These capabilities should drive improvements in conversion rates, average order value, customer retention, and lifetime value.

Marketing Intelligence and Growth Automation

Partner closely with TYR’s marketing leadership to elevate the effectiveness and precision of marketing efforts through AI.

Develop advanced customer segmentation models that move beyond demographic targeting to incorporate behavioral and predictive signals. These models will power more intelligent audience strategies across paid media, email, SMS, and social channels.

Implement generative AI solutions that support dynamic content creation, including personalized ad copy, email messaging, and product descriptions. Establish automated testing and optimization frameworks to continuously improve campaign performance.

Develop marketing mix and attribution models that enable real-time optimization of spend and improved return on ad investment. Build predictive models that support customer acquisition, retention, and churn prevention.

Sales Enablement and B2B Intelligence

Support TYR’s wholesale and B2B channels by developing AI-driven sales enablement tools. This includes predictive lead scoring, account health insights, and deal intelligence systems that help sales teams prioritize opportunities and strengthen relationships with key retail partners.

Technical Execution and Partnerships

Initially operate as a hands-on technical leader responsible for building and deploying AI solutions across TYR’s priority initiatives. Lead the full model lifecycle, including data ingestion, feature engineering, model development, deployment, and monitoring.

Act as TYR’s primary liaison with AI technology vendors and platform partners to ensure the company leverages best-in-class tools and infrastructure. As the AI roadmap expands, the Director will help define and grow the supporting team.

Responsible AI and Data Governance

Establish and maintain TYR’s framework for responsible AI and data governance. Ensure that models and data systems adhere to principles of fairness, transparency, and privacy while complying with relevant regulations including GDPR and CCPA. Monitor production systems to mitigate bias, protect data security, and maintain high standards for model performance and accountability.

Qualifications and Experience

• 10+ years of experience in data science, machine learning, or a related field with a strong record as a hands-on practitioner
• Proven experience deploying AI solutions in ecommerce, retail, or direct-to-consumer environments with measurable business impact
• Ability to operate at an executive level and communicate complex technical concepts clearly to senior leadership
• Strong understanding of ecommerce or consumer business models and the ability to connect AI initiatives directly to business outcomes
• Deep technical expertise in machine learning, data science, and AI systems architecture
• Demonstrated ability to influence cross-functional stakeholders and drive adoption of AI across an organization
• Experience leading or building technical teams is a plus
• Master’s or Ph.D. in Computer Science, Statistics, Engineering, or a related quantitative field preferred; MBA a plus

Resource 1 is in need of a Sr. Data Architect/ Modeler for a long-term contract in downtown Chicago. Our client requires 2 days/week onsite (Tues/Wed or Tues/Thurs), so candidates must be local.

The consultant will join a Dynamics 365 implementation project to lead data migration, Dataverse/ CDM data modeling, and analytics enablement for various business units. They will design and validate data models and guide migration/testing efforts.

Responsibilities:

• Lead data migration strategy and roadmap for the Dynamics 365 implementation.
• Design, document, and validate Dataverse/ CDM data models and entity relationships for D365 use cases.
• Own CDM‑centric data design: map legacy/ source systems to Dynamics 365 CE & F&O CDM entities, identify gaps, propose extensions, and document modeling decisions.
• Establish best practices for CDM usage, lineage, versioning, and review gates.
• Assess downstream impacts of model and migration changes and define additional data capture or retention needs.
• Guide and review ETL/pipeline implementation with data engineering team using Synapse/ ADF/ Fabric and ADLS Gen2.
• Participate in the gathering of reporting and operational requirements and translating them into data model and migration specifications.

Required Skills & Experience:

• Experience with Common Data Model (CDM) and Dynamics 365 (CE and/or F&O) data.
• Prior experience working on a Dynamics 365 migration project.
• Experience with Dataverse/ CDM data modeling.
• Familiarity with Microsoft data stack including Synapse, ADF, Fabric and ADLS Gen2.
• Ability to develop and execute test plans, validate migrations, and identify downstream reporting impacts.

Job Description

8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238

CarMax, the way your career should be!

About the Team

The primary responsibility of the Logistics Modeling team is to intelligently and efficiently plan how CarMax moves vehicles across its nationwide network. Each year, CarMax completes over 2 million vehicle moves, and our data scientists develop algorithms that determine which moves are executed by CarMax and which are handled by third-party logistics partners. For the moves CarMax completes, the team generates detailed plans specifying exactly which vehicles each driver will transport and when. To be successful, these plans must optimize efficiency while ensuring vehicles arrive on time to meet customer and operational needs.

What You Will Do – Essential Responsibilities

Develop optimal planning strategies that meet both short and long term business objectives

• Leverage exceptional business knowledge, creativity, vision and analytic skills in order to lead the development of optimal logistics planning strategies
• Develop right optimization strategy given CarMax’s unique business model
• Leverage strong analytic communication skills to gain broad buy-in to planning strategies and goals at all levels of the organization
• Continuously improve our logistics strategy by delivering $10-25MM/yr of incremental value

Build a highly engaged team of 4-7 Data Scientists with the skills to implement our logistics strategies across millions of moves each year

• Create a rewarding and challenging environment designed to teach uniquely gifted analytic professionals how to become effective, value adding data scientists
• Leverage strong functional expertise in a quickly evolving field to ensure that team members have the right technology to meet today’s business needs.
• Set specific, actionable short and mid-term goals for each team member
• Challenge, develop & recognize team members when they achieve their goals

Lead the building of Artificial Intelligence to autonomously plan every move in an optimal way

• Leverage strong mathematics, statistics and technology skills (machine learning, Python, etc.) in order to lead the development of sophisticated planning models that autonomously implement our strategies
• Leverage strong computer science and software engineering skills in order to build software that (a) Calculates the optimal logistics plan for each move and (b) Delivers that plan to the logistics team in seconds
• Lead cross functional efforts to implement new models with IT and the field
• Apply exceptional experiment test and design skills in order to measure the business impact of different planning changes

Purpose of the Role

CarMax relies on algorithms to efficiently move vehicles across our network of 200+ stores, ensuring optimal routes, driver utilization, and on-time delivery while minimizing transportation costs. Doing so ensures that we have the right cars at the right prices at the right time and place to meet our customers’ needs. As we continue to innovate our business and shift more of our buying and selling online, we increasingly need to make these decisions quickly with less human intervention. Our team of data scientists plays a critical role in unlocking the business value from these innovations.

Qualifications and Requirements:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

• Undergraduate degree with exceptional academic performance in quantitative discipline (Statistics, Math, Data Science, Computer Science, Engineering). Advanced Degree (Master’s/Ph.D.) is a plus.
• Mathematical, modeling, and reasoning skills in order to build complex planning models
• 4+ years’ experience in strategy, analytics and/or data science
• Proven ability to deliver business value by leveraging deep analytic skills in order to solve complex business problems
• Computer programming skills in order to turn the mathematical model into Artificial Intelligence
• Leadership skills necessary to build a highly engaged team and to work cross functionally to implement new logistics models and strategies
• Exceptional verbal, written, and listening skills necessary to (a) effectively manage their team, (b) listen and understand conflicting points of view on complex matters, (c) navigate through potential contentious situations that periodically occur in a change process, and (d) communicate complex ideas.
• Experience managing highly analytical projects and people.

Work Location and Arrangement: This role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 5 days per week

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

About CarMax

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.

Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.

Our Commitment to Diversity and Inclusion:

CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, gender expression, genetic information, national origin, protected veteran status, disability status, and any other characteristics protected by law.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

Digital Product Manager – Personalization Intelligence

BJ’s Wholesale Club is seeking a Product Manager – Personalization Intelligence to lead the next evolution of our data-driven personalization strategy. This is a high-impact transformation role responsible for scaling intelligent, model-driven personalization across all member touchpoints — including site, app, email, push, SMS, and emerging channels.

You will define and drive the roadmap that powers how millions of members experience BJ’s — delivering measurable incremental revenue, stronger loyalty, and deeper engagement through advanced personalization capabilities.

This role sits at the intersection of product, data science, engineering, marketing, and digital — translating business strategy into scalable machine learning–powered solutions.

What You’ll Own

Personalization Strategy & Roadmap

• Define and execute the product roadmap for Personalization Intelligence across all customer touchpoints.
• Drive clarity in business goals, measurable outcomes, and prioritization tied to incremental revenue and engagement.
• Lead the transformation from campaign-based targeting to intelligent, model-driven personalization at scale.

ML-Powered Personalization Capabilities

• Partner closely with Data Science to design, build, and scale: Recommendation systems, Propensity and propensity-to-buy models, Predictive engagement and churn models
• Own the end-to-end ML model lifecycle from ideation and business case through training, testing, deployment, and ongoing optimization
• Translate model outputs into actionable, testable personalization strategies.

Experimentation & Measurement

• Define clear hypotheses and testing frameworks to measure incremental lift.
• Collaborate with analytics to establish robust tracking, experimentation design, and performance reporting.
• Monitor and interpret key ML performance metrics and business KPIs.
• Own and deliver the product roadmap for Personalization Intelligence, driving clarity in goal definition, accountability for business outcomes, and focused execution.

Qualifications:

• 4+ years of Product Management experience
• Demonstrated experience delivering personalization, recommendation systems, Propensity/propensity-to-buy models, and other predictive models
• Retail or e-commerce experience strongly preferred
• Strong communication skills and experience working with Stakeholders (data science, engineering, business)
• Strong product discovery, prioritization, and stakeholder management skills

Stylist - Photo Studio

ON-SITE - Charlotte, NC 28273

The Cato Corporation is seeking a Stylist to join our Photo Studio team!

JOB SUMMARY: The Photo Studio Stylist is responsible for styling fashion apparel and accessories on model as well as still life product shots for ecommerce photography. This role works directly with professional models and a collaborative studio team to bring the brand’s visual identity to life through elevated, trend-right imagery.

RESPONSIBILITIES INCLUDE:

• Style apparel and accessories on live fashion models, ensuring flattering fit and brand-appropriate presentation.
• Collaborate with models to achieve natural, aspirational looks that enhance the product features and align with brand standards.
• Execute accessory and prop styling to complement on-model looks and elevate visual storytelling.
• Execute still-life styling across a wide range of categories including accessories, footwear, handbags, and jewelry.
• Prep and organize product samples, maintaining accuracy in labeling and tracking throughout the styling process.
• Work closely with photographers to ensure each shot reflects the desired styling direction and maintains consistency.
• Stay current on fashion trends, styling techniques, and competitor imagery to ensure fresh, relevant visual output.
• Assist in the creation and upkeep of detailed styling guides and reference materials.
• Partner daily with the Photographer, Digital Tech, Hair & Make-Up Artist, and Director to meet all deadlines.
• Lead or contribute to special styling-related projects as assigned

REQUIREMENTS:

• Strong portfolio showcasing styling expertise for both on-figure and still-life photography.
• Demonstrated ability to style efficiently and effectively in a fast-paced, high-volume studio environment with a variety of models.
• A keen eye for style, visual composition and attention to detail.
• Highly organized with exceptional attention to detail and set management skills.
• Proven ability to problem-solve quickly and adapt to shifting priorities.
• Strong interpersonal skills with the ability to communicate creative direction clearly and professionally.
• Open to feedback and flexible with daily production changes.
• Positive, collaborative attitude and ability to work with a diverse group of models and team members.
• High level of accountability and commitment to visual excellence.
• Experience with digital asset management systems and an understanding of ecommerce content workflows is a plus.

QUALIFICATIONS:

WORK EXPERIENCE:

• 2–4 years of hands-on styling experience in a professional ecommerce studio, or on-location setting.

SKILLS AND EXPERIENCE REQUIRED:

• Strong portfolio showcasing styling expertise for both on-figure and still-life photography.
• Demonstrated ability to style efficiently and effectively in a fast-paced, high-volume studio environment with a variety of models.
• A keen eye for style, visual composition and attention to detail.
• Highly organized with exceptional attention to detail and set management skills.
• Proven ability to problem-solve quickly and adapt to shifting priorities.
• Strong interpersonal skills with the ability to communicate creative direction clearly and professionally.
• Open to feedback and flexible with daily production changes.
• Positive, collaborative attitude and ability to work with a diverse group of models and team members.
• High level of accountability and commitment to visual excellence.

The Cato Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, ancestry, national origin, disability, age, sex (including pregnancy), gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.