Senior Manager, Product Analytics

Thomson Reuters

. Define how data becomes a competitive and operational advantage across Transactional Compliance products .

Posted 9/24/2026full-timeGothenburg • SwedenSenior💰 CA$126,000 - CA$176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product analytics and data science, with a strong focus on leading teams and executing analytics strategies across multiple products. Proficient in SQL, Python, and cloud data platforms, with the ability to translate complex data findings into actionable insights for diverse stakeholders.

Highest-signal resume keywords

Product Analytics LeadershipData Science MethodsSQL ProficiencyAI Tooling ExperienceCloud Data Platforms

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Applicant Tracking System Keywords

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Hard Skills

Product AnalyticsData ScienceSQLPythonBehavioral ModelingCausal InferenceExperimentationData Engineering ConceptsEvent-Driven Data CollectionPipeline Architecture

Soft Skills

Team LeadershipCommunicationRelationship BuildingStrategic ThinkingNarrative Translation

Tools & Technologies

GCPAWSAzureSnowflakeAI AgentsSelf-Service Tools

Industry Keywords

Transactional ComplianceData StorageData ProcessingProduct LeadershipAnalytics Strategy

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Define how data becomes a competitive and operational advantage across Transactional Compliance products
Lead the shift from analytical outputs to AI agents, conversational tools, and self-service products
Own product behavior measurement strategy across the portfolio
Partner with engineering on event-driven data collection across the customer journey
Guide evaluation of data storage and processing architecture
Build, manage, and develop product analysts and data engineers
Establish operating models for intake, prioritization, and delivery
Serve as primary product analytics partner for product leadership
Build relationships with peer analytics leaders across Thomson Reuters
Translate technical and statistical findings into decision-ready narratives for product, engineering, and senior leadership

Requirements

What you’ll need

At least 8 years of experience in product analytics, data science, or a related discipline
At least 3 years leading teams that include data engineers or other technical roles
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
Working knowledge of data engineering concepts, cloud data platforms (GCP, AWS, Azure, Snowflake, or equivalent), and pipeline architecture
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
Ability to explain statistical and technical findings to non-technical executives and direct analysts and engineers
Based in Sweden (Gothenburg), with the right to work there

Benefits

Comp & perks

Flexible hybrid working environment for office-based roles
Flexible work arrangements, including work from anywhere for up to 8 weeks per year
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually
Opportunities for pro-bono consulting projects and ESG initiatives
Annual Bonus may be available based on enterprise and individual performance