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Day 139
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Sweden, Gothenburg
Open 4 months, first seen by us 139 days agoEmployment type in the employer’s posting: Full timeFrom 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 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
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.
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.
We serve professionals across legal, tax, accounting, compliance, government, and media.
In the employer’s words · Read in context
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.
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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.
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- 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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Yes. We’ve followed one other Senior Manager, Product Analytics job there since September 2026. It came down after 35 days.
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.
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.
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:
About You:
The ideal candidate for the Senior Manager, Product Analytics position possesses:
Nice to have:
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What’s in it For You?
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.
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More information about Thomson Reuters can be found on thomsonreuters.com.
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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.
- 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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