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Added 7 hours ago
Culinary Specialist 12-18 Month Contract
Sysco
Vancouver, BC · Sysco Vancouver
Full-time
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Added 8 hours ago
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Full-time
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Added 10 hours ago
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Full-time
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Winnipeg, MB · Toronto, ON · Saskatoon, SK · Halifax, NS · St. John's, NL · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Calgary, AB · Waterloo, ON
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Added 1 day ago
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Added 1 day ago
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Thomson Reuters

Senior Manager, Product Analytics

Toronto, ON, Canada
Canada, Toronto, Ontario, Canada

Job type: Full-time
Apply by: Oct 30, 2026
Posting language: English
Posted: Sep 24, 2026

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Original job description

Job Description

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.

Key Responsibilities

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.

Required Qualifications

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.

Preferred Qualifications

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.

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

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.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.

For Ontario, Canada, the base compensation range for this role is $126,000 CAD - $176,000 CAD.

Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.
This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.


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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More about this job

Responsibilities

Lead product analytics strategy across Transactional Compliance products and manage a team of product analysts and data engineers. Build AI-powered analytics agents and self-service tools, guide product instrumentation and data architecture, and partner with product leaders to turn findings into decisions.

Requirements

Requires at least 8 years of experience in product analytics, data science, or a related field, including at least 3 years leading teams with data engineers or other technical roles. Candidates need strong data science, SQL, Python, cloud data platform, and pipeline architecture knowledge, plus hands-on experience building production analytics agents or self-service tools; the role is based in Sweden (Gothenburg) with the right to work there.

Skills

Product Analytics
Data Science
Team Leadership
Analytics Strategy
AI Agents
Agentic Workflows
Self-Service Analytics
Product Instrumentation
Data Architecture
Data Engineering
SQL
Python
Segmentation
Behavioral Modeling
Causal Inference
Experimentation

Benefits

Flexible Vacation
Mental Health Days
Headspace App Access
Retirement Savings
Tuition Reimbursement
Employee Incentive Programs
Mental, Physical, And Financial Wellbeing Resources
Flexible Work Arrangements
Work From Anywhere For Up To 8 Weeks Per Year
Paid Volunteer Days

Visa sponsorship

Not detected in the job text

Keywords

Transactional Compliance
E-Invoicing
Tax Determination
Trade Compliance
Product Analytics
Data Science
AI-Powered Analytics
Agentic Workflows
Analytics Agents
Conversational Tools
Self-Service Products
Product Instrumentation
Event-Driven Data Collection
Data Storage
Data Processing
Cloud Data Platforms
GCP
AWS
Azure
Snowflake
Pipeline Architecture
SQL
Python
Segmentation
Behavioral Modeling
Causal Inference
Experimentation
SaaS
B2B
VAT

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