Data Product Manager (Analytical Data Products)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Data Product Manager (Analytical Data Products): Owning the strategy, roadmap, and execution for a portfolio of analytical data products with an accent on client partnership and modern data platform scalability. Focus on translating complex business challenges into scalable analytical solutions and managing the end-to-end product lifecycle.
Location: Hybrid (Toronto, Ontario) - 3 days per week in office
Salary: $130,000 - $160,000 CAD
Company
is a fast-growing data and AI company that helps organizations unlock the value of their data through modern engineering and intelligent products.
What you will do
- Own the end-to-end lifecycle of analytical data products, from discovery and roadmap planning to delivery and adoption.
- Define product vision and priorities aligned with client business objectives and organizational strategy.
- Lead discovery workshops, requirements gathering, and solution scoping as the primary client-facing product lead.
- Partner with Engineering, Analytics, and Architecture teams to deliver scalable, reusable data products.
- Manage product backlogs and lead Agile ceremonies including sprint planning and release planning.
- Collaborate with Legal, Privacy, and Security teams to ensure regulatory and governance compliance.
Requirements
- Bachelor's degree in Computer Science, Data Science, Information Systems, Business, or Engineering.
- 3–5+ years of experience in Product Management, Data Product Management, or Analytics.
- Advanced SQL skills for analyzing datasets and validating business hypotheses.
- Experience with modern cloud data platforms such as Snowflake, BigQuery, ClickHouse, or Databricks.
- Must be based in Toronto, Ontario for hybrid work (3 days/week in office).
- Knowledge of data governance, semantic layer concepts, and FAIR principles.
Nice to have
- Master's degree in Engineering, Data Science, or Business.
- Industry experience in Pharma, Biotechnology, Financial Services, or CPG.
- Familiarity with Customer Data Platforms (CDPs) and Digital Marketing Analytics.
- Experience using product usage metrics to prioritize roadmap investments.
Culture & Benefits
- Hybrid flexibility with 3 days per week in the downtown Toronto office.
- 100% coverage for health, dental, and vision insurance for employees and dependents from day one.
- Continuous learning opportunities and the ability to influence technical direction.
- Inclusive work environment within a fast-growing AI company.
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