Data & Analytics (ML-Enabled Systems)
Thomson Reuters, Ann Arbor, MI, United States
Data & Analytics (ML-Enabled Systems)
We experiment, we build, we deliver. We support the organization and our product teams through foundational research and development of new products and technologies. Thomson Reuters Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects while investing in long‑term research for the future.
About the Role
Are you passionate about building data infrastructure that powers cutting‑edge AI evaluation systems? Thomson Reuters Labs is seeking a Data Engineer to join our AI data, evaluation, and governance team and help shape how we measure, monitor, and improve AI‑powered legal products.
Build & Deploy Product Analytics Infrastructure: Design and implement scalable data pipelines and analytics systems that transform customer feedback and product traces into actionable insights across AI‑powered legal products.
Enable AI Evaluation at Scale: Build data workflows to enable the deployment of automated evaluation metrics as production analytics to continuously track product quality, detect errors, and alert teams to regressions before they impact customers.
Establish Data Governance & Quality Standards: Develop technical governance infrastructure for manual and automated review of AI product data, particularly for small and medium law firms, ensuring data quality, security, and compliance.
Drive Metric Development: Analyze product traces and customer feedback to identify quality issues and patterns that inform the development of new evaluation metrics and feed into product roadmap decisions.
Support Cross‑Functional Teams: Partner closely with Product Scientists, Research Engineers, and Subject Matter Experts to implement configurations, build reporting dashboards, and create self‑service tools for metric implementation.
Advance AI Evaluation Best Practices: Contribute to the development and scaling of automated evaluation capabilities and establish best practices for AI evaluation and analytics across Thomson Reuters pillars (Legal, Tax & Accounting, and Reuters News).
About You
You are a data engineering professional who thrives at the intersection of infrastructure, analytics, and AI systems. You understand that great AI products require great measurement, and you're excited to build the systems that make that possible.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or related technical field
8+ years of professional experience in data engineering, analytics engineering, or related roles
Strong programming skills in Python and SQL with experience building production data pipelines
Hands‑on experience with modern data stack technologies (e.g., Snowflake, AWS, PowerBI, or similar orchestration, transformation, or analytics tools)
Experience with cloud platforms (e.g., AWS, or similar) and their data services
Proven ability to design and implement scalable ETL/ELT pipelines for structured and unstructured data
Experience with data warehousing, data modeling, and analytics infrastructure
Strong understanding of data governance, data quality, and security best practices
Excellent communication skills to collaborate with cross‑functional teams including scientists, engineers, product managers, and subject matter experts
Self‑driven attitude with ability to manage projects independently and meet deadlines
Core Technical Skills (Must-Have)
Snowflake, Power BI, SQL, Python
ETL/ELT pipelines, data lakes, AWS/cloud
Analytics & Data (Critical)
Experience with customer data, user behavior, and product analytics
Ability to build dashboards, define KPIs, and deliver insights
ML / AI Data (Required)
Experience working with AI/ML data (prompts, model outputs, evaluation datasets)
Ability to analyze and monitor AI performance
Familiarity with LLMs is a plus (not required)
Not a model‑building role – focus is on analyzing AI data
Data Governance
Experience with data quality, governance, and handling sensitive data (PII)
Automation & Scale
Build automated, scalable data pipelines and workflows
Preferred Qualifications
Experience with AI/ML systems, particularly in evaluation, monitoring, or observability
Familiarity with LLM applications and challenges in measuring generative AI quality
Experience building analytics for customer‑facing products or SaaS applications
Knowledge of data visualization tools (e.g., PowerBI, Streamlit, Snowflake)
Experience working with product analytics or user behavior data
Background in building self‑service analytics or internal tooling
Understanding of legal, compliance, or regulated industry data requirements
Experience with real‑time data processing and alerting systems
Benefits
Hybrid Work Model:
We’ve adopted a flexible hybrid working environment (2‑3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work‑Life Balance:
Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities… This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year.
Career Development and Growth:
By fostering a culture of continuous learning and skill development… Our Grow My Way programming and skills‑first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI‑enabled future.
Industry Competitive Benefits:
We offer comprehensive benefit plans to include flexible vacation, two company‑wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture:
Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact:
Make an impact in your community with our Social Impact Institute… We offer employees two paid volunteer days off annually and opportunities to get involved with pro‑bono consulting projects and ESG initiatives.
Making a Real‑World Impact:
We are one of the few companies globally that helps its customers pursue justice, truth, and transparency…
Compensation Range
Eligible US locations: New York City, San Francisco, Los Angeles, Irvine (CA), McLean (VA), Washington, DC. Base compensation: $146,800 USD – $272,600 USD for the specified US cities; $127,400 USD – $236,600 USD for other eligible US locations. Ontario, Canada: $140,000 CAD – $175,000 CAD. Base pay is one part of a comprehensive Total Reward program and may include an annual bonus.
Equal Employment Opportunity
Thomson Reuters is proud to be an Equal Employment Opportunity Employer. We serve professionals across legal, tax, accounting, compliance, government, and media. We comply with laws requiring upfront disclosure of pay ranges and we provide a comprehensive benefits program. We are committed to equal opportunity and reasonable accommodations for people with disabilities and sincerely held religious beliefs. Please contact our Human Resources Department at HR.Leave‑Expert@thomsonreuters.com for accommodations. Learn more on how to protect yourself from fraudulent job postings.
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We experiment, we build, we deliver. We support the organization and our product teams through foundational research and development of new products and technologies. Thomson Reuters Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects while investing in long‑term research for the future.
About the Role
Are you passionate about building data infrastructure that powers cutting‑edge AI evaluation systems? Thomson Reuters Labs is seeking a Data Engineer to join our AI data, evaluation, and governance team and help shape how we measure, monitor, and improve AI‑powered legal products.
Build & Deploy Product Analytics Infrastructure: Design and implement scalable data pipelines and analytics systems that transform customer feedback and product traces into actionable insights across AI‑powered legal products.
Enable AI Evaluation at Scale: Build data workflows to enable the deployment of automated evaluation metrics as production analytics to continuously track product quality, detect errors, and alert teams to regressions before they impact customers.
Establish Data Governance & Quality Standards: Develop technical governance infrastructure for manual and automated review of AI product data, particularly for small and medium law firms, ensuring data quality, security, and compliance.
Drive Metric Development: Analyze product traces and customer feedback to identify quality issues and patterns that inform the development of new evaluation metrics and feed into product roadmap decisions.
Support Cross‑Functional Teams: Partner closely with Product Scientists, Research Engineers, and Subject Matter Experts to implement configurations, build reporting dashboards, and create self‑service tools for metric implementation.
Advance AI Evaluation Best Practices: Contribute to the development and scaling of automated evaluation capabilities and establish best practices for AI evaluation and analytics across Thomson Reuters pillars (Legal, Tax & Accounting, and Reuters News).
About You
You are a data engineering professional who thrives at the intersection of infrastructure, analytics, and AI systems. You understand that great AI products require great measurement, and you're excited to build the systems that make that possible.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or related technical field
8+ years of professional experience in data engineering, analytics engineering, or related roles
Strong programming skills in Python and SQL with experience building production data pipelines
Hands‑on experience with modern data stack technologies (e.g., Snowflake, AWS, PowerBI, or similar orchestration, transformation, or analytics tools)
Experience with cloud platforms (e.g., AWS, or similar) and their data services
Proven ability to design and implement scalable ETL/ELT pipelines for structured and unstructured data
Experience with data warehousing, data modeling, and analytics infrastructure
Strong understanding of data governance, data quality, and security best practices
Excellent communication skills to collaborate with cross‑functional teams including scientists, engineers, product managers, and subject matter experts
Self‑driven attitude with ability to manage projects independently and meet deadlines
Core Technical Skills (Must-Have)
Snowflake, Power BI, SQL, Python
ETL/ELT pipelines, data lakes, AWS/cloud
Analytics & Data (Critical)
Experience with customer data, user behavior, and product analytics
Ability to build dashboards, define KPIs, and deliver insights
ML / AI Data (Required)
Experience working with AI/ML data (prompts, model outputs, evaluation datasets)
Ability to analyze and monitor AI performance
Familiarity with LLMs is a plus (not required)
Not a model‑building role – focus is on analyzing AI data
Data Governance
Experience with data quality, governance, and handling sensitive data (PII)
Automation & Scale
Build automated, scalable data pipelines and workflows
Preferred Qualifications
Experience with AI/ML systems, particularly in evaluation, monitoring, or observability
Familiarity with LLM applications and challenges in measuring generative AI quality
Experience building analytics for customer‑facing products or SaaS applications
Knowledge of data visualization tools (e.g., PowerBI, Streamlit, Snowflake)
Experience working with product analytics or user behavior data
Background in building self‑service analytics or internal tooling
Understanding of legal, compliance, or regulated industry data requirements
Experience with real‑time data processing and alerting systems
Benefits
Hybrid Work Model:
We’ve adopted a flexible hybrid working environment (2‑3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work‑Life Balance:
Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities… This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year.
Career Development and Growth:
By fostering a culture of continuous learning and skill development… Our Grow My Way programming and skills‑first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI‑enabled future.
Industry Competitive Benefits:
We offer comprehensive benefit plans to include flexible vacation, two company‑wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture:
Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact:
Make an impact in your community with our Social Impact Institute… We offer employees two paid volunteer days off annually and opportunities to get involved with pro‑bono consulting projects and ESG initiatives.
Making a Real‑World Impact:
We are one of the few companies globally that helps its customers pursue justice, truth, and transparency…
Compensation Range
Eligible US locations: New York City, San Francisco, Los Angeles, Irvine (CA), McLean (VA), Washington, DC. Base compensation: $146,800 USD – $272,600 USD for the specified US cities; $127,400 USD – $236,600 USD for other eligible US locations. Ontario, Canada: $140,000 CAD – $175,000 CAD. Base pay is one part of a comprehensive Total Reward program and may include an annual bonus.
Equal Employment Opportunity
Thomson Reuters is proud to be an Equal Employment Opportunity Employer. We serve professionals across legal, tax, accounting, compliance, government, and media. We comply with laws requiring upfront disclosure of pay ranges and we provide a comprehensive benefits program. We are committed to equal opportunity and reasonable accommodations for people with disabilities and sincerely held religious beliefs. Please contact our Human Resources Department at HR.Leave‑Expert@thomsonreuters.com for accommodations. Learn more on how to protect yourself from fraudulent job postings.
#J-18808-Ljbffr