Senior Manager, Product Analytics & Data Engineering

Thomson Reuters; Göteborgs kommun; Hybrid; SEK 750,000 - 1,050,000; Full time

Benefits offered by this job

Flexible hybrid working

Career development programs

Flexible vacation policy

Mental health resources

Two paid volunteer days

Job summary

Thomson Reuters is seeking a Senior Manager for Product Analytics & Data Engineering in Gothenburg, Sweden. You will lead the analytics strategy and manage a team of analysts to drive growth and compliance through data insights.

The ideal candidate has significant experience in product analytics, strong technical skills, and proficiency in SQL and cloud platforms. A hybrid working model supports work-life balance with comprehensive benefits.

Qualifications

• At least 7 years of experience in product analytics, data engineering, or a related discipline.
• Demonstrated ability to set and execute an analytics strategy.
• Hands-on experience with AI tooling.

Responsibilities

• Define analytics priorities and develop team capabilities.
• Own the product instrumentation strategy for data collection.
• Lead evaluation of data storage and processing architecture.
• Build and manage a team of analysts and data engineers.
• Serve as the primary product analytics partner for Pagero.

Skills

Experience in product analytics

Strong technical foundation

Proficiency in SQL

Cloud data platforms familiarity

AI tooling experience

Strong communicator

Tools

Python

Event-driven data collection tools

Analytics platforms (Pendo, Amplitude)

Job description

Pagero, part of Thomson Reuters, provides a global e‑invoicing and business document network that connects more than 14 million businesses across 75+ countries. Pagero is recognized by IDC MarketScape as a Leader in European compliant e‑invoicing. As Pagero becomes more integrated with the ONESOURCE ecosystem, the company is expanding its product analytics and data engineering capabilities.

We are hiring a Senior Manager, Product Analytics & Data Engineering to lead the data and analytics strategy for Pagero product and manage a team of analysts and data engineers. This role is responsible for defining analytics priorities, developing team capabilities, and contributing directly to analysis, data pipeline development, and insight delivery.

About The Role

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

• Product Analytics Strategy: Define how data becomes a competitive and operational advantage for Pagero. Set analytical priorities connecting product decisions to network growth, customer retention, integration health, and compliance outcomes, and build frameworks that make that connection repeatable at scale.
• Product Instrumentation: Own the strategy for how Pagero’s product behavior gets measured. Partner with engineering to design and build event‑driven data collection across the customer journey: onboarding, transaction success, compliance checkpoints, and trading partner connectivity.
• Data Architecture Evaluation: Lead the evaluation of Pagero’s data storage and processing architecture. Engage legal, data platform, and security stakeholders to assess compliant options and develop recommendations covering scalability, cost, and integration. Present findings and a clear implementation path to decision‑makers.
• AI‑Powered Analytics: Use tools such as Claude, GitHub Copilot, Cursor, and MCP‑based workflows as a standard method for analysis and insight delivery. Maintain human‑in‑the‑loop review and QA practices to ensure accuracy and appropriate use.
• Team Mandate and Portfolio Focus: In the first 100 days work with your manager to form a shared view of the team’s priorities, end‑state, and how to get there with current resources. Identify what the team should own and, where work belongs elsewhere, agree a transition path with the relevant analytics leaders across TR.
• People Leadership: Build, manage, and develop a team of analysts and data engineers with a clear operating model for intake, prioritization, and delivery. Delegate effectively, stay hands‑on where it matters, and partner with the Director on hiring and team structure as scope expands.
• Stakeholder Engagement: Serve as the primary product analytics and data partner for Pagero product leadership. Build working relationships with peer analytics leaders across TR, translate complex technical findings into decision‑ready narratives for product, engineering, and senior leadership.

About You

• At least 7 years of experience in product analytics, data engineering, or a related discipline, with at least 3 years leading teams.
• Demonstrated ability to set and execute an analytics and data strategy: defining priorities, building toward them hands‑on, and adjusting as context shifts.
• Strong technical foundation spanning data engineering and product analytics: evaluating infrastructure options, designing measurement frameworks, and partnering with engineering on event‑driven data collection.
• Proficiency in SQL and at least one pipeline language (Python, dbt, or equivalent).
• Familiarity with cloud data platforms (GCP, AWS, Azure, Snowflake, or equivalent) and the architectural trade‑offs between them.
• Experience working through data residency, sovereignty, or privacy questions (GDPR, CCPA, or equivalent) in a practical architecture context, engaging legal and compliance stakeholders to test assumptions.
• Hands‑on experience with AI tooling: LLMs, AI coding assistants (Claude, GitHub Copilot, Cursor, or equivalent), or MCP‑based workflows to accelerate analysis, automate workflows, or build data products.
• Experience with product analytics platforms (Pendo, Amplitude, Adobe Analytics, or equivalent), including instrumentation strategy.
• Strong communicator across levels, able to explain infrastructure trade‑offs to non‑technical executives and give specific technical direction to analysts and engineers.

Nice To Have

• Experience in a post‑acquisition or integration environment.
• Experience with e‑invoicing, VAT compliance, or B2B transaction platforms.

What’s in it For You?

• Hybrid Work Model: Flexible hybrid working environment (2–3 days a week in the office) for office‑based roles, supporting seamless digital and physical integration.
• Flexibility & Work‑Life Balance: Flex My Way policies to manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.
• Career Development and Growth: Continuous learning and skill‑development programs, Grow My Way programming, and a skills‑first approach to support growth in an AI‑enabled future.
• Industry Competitive Benefits: 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 well‑being.
• Culture: Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and shared values.
• Social Impact: Two paid volunteer days off annually and opportunities to engage in pro‑bono consulting projects and ESG initiatives.
• Real‑World Impact: Helping customers pursue justice, truth, and transparency, and providing trusted, unbiased information to people worldwide.

Equal Employment Opportunity

To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizenship 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.