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Senior Manager, Product Analytics

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

As Senior Manager, Product Analytics, you will be responsible for:

Product Analytics & Data Science Strategy: Define how data becomes a competitive and operational advantage across Transactional Compliance products.

  • Define the product analytics strategy across Transactional Compliance products

  • Build and own AI agents, conversational tools, and self-service analytics products

  • Own how product behavior is measured through event-driven data collection

  • Build, manage, and develop a team of analysts and data engineers

  • Serve as primary product analytics partner for product leadership

From the employer’s posting
As Senior Manager, Product Analytics, you will be responsible for:
Product Analytics & Data Science Strategy: Define how data becomes a competitive and operational advantage across Transactional Compliance products.
Define how data becomes a competitive and operational advantage across Transactional Compliance products.
Lead the team's shift from producing analytical outputs to building and owning the AI agents, conversational tools, and self service products that produce them.
Own the strategy for how product behavior is measured across the portfolio. Partner with engineering to design event driven data collection across the customer journey
Build, manage, and develop a team of product analysts and data engineers with a clear operating model for intake, prioritization, and delivery.
Serve as the primary product analytics partner for product leadership across Transactional Compliance offerings.

What you’ll bring

All qualifications

Core experience

  • Demonstrated ability to set and execute an analytics strategy across multiple products.
  • Experience leading analytics or data science for more than one product line or business unit at once.
  • Proficiency in SQL and Python.
  • Experience with e-invoicing, indirect tax, global trade compliance, VAT, or other B2B/regulatory transaction platforms.
  • Hands-on experience with AI tooling and agentic workflows including building and owning production analytics agents or self-service tools.
  • Experience in legal, financial, or regulatory data domains.
Qualification wording
Demonstrated ability to set and execute an analytics strategy across multiple products.
Experience leading analytics or data science for more than one product line or business unit at once.
Proficiency in SQL and Python.
Experience with e-invoicing, indirect tax, global trade compliance, VAT, or other B2B/regulatory transaction platforms.
Hands-on experience with AI tooling and agentic workflows including building and owning production analytics agents or self-service tools.
Experience in legal, financial, or regulatory data domains.

About Thomson Reuters

We serve professionals across legal, tax, accounting, compliance, government, and media.

In the employer’s words · Read in context

Apply at Thomson Reuters

Posting record

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Open 4 monthsWe first saw this posting 139 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 17, 2026139 days ago
Recorded sightings
244
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 139

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,803 similar postings that came down. Coming down is not always a hire.

Thomson Reuters is hiring

19 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring is steady
  • Takes jobs down at a usual pace
Hiring record

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  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • Snowflake
Where the posting names them
- Working knowledge of data engineering concepts, cloud data platforms (GCP, AWS, Azure, Snowflake, or equivalent), and pipeline architecture, sufficient to evaluate trade offs and lead data engineers effectively. - Proficiency in SQL and Python. - Hands-on experience with AI tooling and agentic workflows including building and owning production analytics agents or self-service tools.
- Strong grounding in data science methods, such as segmentation, behavioral modeling, causal inference, or experimentation, and the judgment to know when they add more value than a dashboard. - Working knowledge of data engineering concepts, cloud data platforms (GCP, AWS, Azure, Snowflake, or equivalent), and pipeline architecture, sufficient to evaluate trade offs and lead data engineers effectively. - Proficiency in SQL and Python.

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Has Thomson Reuters posted this job before?

Yes. We’ve followed one other Senior Manager, Product Analytics job there since September 2026. It came down after 35 days.

  1. This jobUp 140 days so far, first seen Jun 17
  2. OntarioCame down after 35 days, first seen Sep 24

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Thomson Reuters' Transactional Compliance portfolio connects businesses to a growing network of e-invoicing, tax determination, and trade compliance capabilities. Pagero alone connects more than 14 million businesses across 75+ countries and is recognized by IDC MarketScape as a Leader in European compliant e-invoicing. As these products integrate more closely within the TR ecosystem, the organization is scaling its product analytics capabilities across the portfolio.

We are hiring a Senior Manager, Product Analytics to lead data analytics across Transactional Compliance products, and to manage a team of product analysts and data engineers. This role is responsible for defining the analytics strategy across the portfolio, building the frameworks and AI powered tools that turn data into product and business decisions, and developing team capabilities across both analytics and engineering disciplines. This is a player coach role: you set direction across multiple product areas and develop your team, while staying close enough to the work to shape what is possible yourself.

The role carries direct responsibility for advancing Product Analytics' north star: better products through embedded partnership across the product lifecycle, easy data through democratized, AI-powered access, and actionable data that shifts decisions from gut feel to evidence. That includes leading the team's shift from producing analysis to building and owning the AI agents and self-service tools that produce it, while applying data science methods, such as segmentation, behavioral modeling, and experimentation, to answer harder product questions across the portfolio.

This position is suited for a senior product analytics or data science leader with experience managing teams that include data engineers, applying data science methods to product decisions, and building AI assisted and agentic workflows into day-to-day analytics delivery.

About the Role:

As Senior Manager, Product Analytics, you will be responsible for:

  • Product Analytics & Data Science Strategy: Define how data becomes a competitive and operational advantage across Transactional Compliance products.
  • AI Powered and Agentic Analytics: Lead the team's shift from producing analytical outputs to building and owning the AI agents, conversational tools, and self service products that produce them.
  • Product Instrumentation & Data Architecture: Own the strategy for how product behavior is measured across the portfolio. Partner with engineering to design event driven data collection across the customer journey and guide your data engineers' evaluation of data storage and processing architecture.
  • People Leadership: Build, manage, and develop a team of product analysts and data engineers with a clear operating model for intake, prioritization, and delivery.
  • Stakeholder Engagement: Serve as the primary product analytics partner for product leadership across Transactional Compliance offerings. Build working relationships with peer analytics leaders across TR, particularly where scope or data infrastructure overlaps, and translate complex technical and statistical findings into decision ready narratives for product, engineering, and senior leadership.

About You:

The ideal candidate for the Senior Manager, Product Analytics position possesses:

  • At least 8 years of experience in product analytics, data science, or a related discipline, with at least 3 years leading teams that include data engineers or other technical roles.
  • Demonstrated ability to set and execute an analytics strategy across multiple products.
  • Strong grounding in data science methods, such as segmentation, behavioral modeling, causal inference, or experimentation, and the judgment to know when they add more value than a dashboard.
  • Working knowledge of data engineering concepts, cloud data platforms (GCP, AWS, Azure, Snowflake, or equivalent), and pipeline architecture, sufficient to evaluate trade offs and lead data engineers effectively.
  • Proficiency in SQL and Python.
  • Hands-on experience with AI tooling and agentic workflows including building and owning production analytics agents or self-service tools.
  • Strong communicator across levels: able to explain statistical and technical findings to non-technical executives and give specific direction to analysts and engineers alike.
  • Based in Sweden (Gothenburg), with the right to work there.

Nice to have:

  • Experience leading analytics or data science for more than one product line or business unit at once.
  • Experience with e-invoicing, indirect tax, global trade compliance, VAT, or other B2B/regulatory transaction platforms.
  • SaaS product experience, particularly in enterprise or B2B settings.
  • Experience in legal, financial, or regulatory data domains.

#LI-AB3


What’s in it For You?

  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment 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, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. 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 Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com.

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Location & working pattern

Sweden, Gothenburg

What’s in it For You? - Hybrid Work Model: We’ve adopted a flexible hybrid working environment 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, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
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- Strong communicator across levels: able to explain statistical and technical findings to non-technical executives and give specific direction to analysts and engineers alike. - Based in Sweden (Gothenburg), with the right to work there. Nice to have:

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