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Data Product Manager – Analytical Data Products
ShyftLabs
Toronto, CAN
Full Time
Mid
Hybrid
Yesterday
Product ManagementSQLSnowflakeBigQueryClickHouseDatabricks
Free
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Product ManagementSQLSnowflake
About the Role
ShyftLabs is seeking a Data Product Manager to own the strategy, roadmap, and execution for analytical data products. You will partner with clients to translate business challenges into scalable solutions, working closely with engineering and analytics teams.
Key Skills for This Role
Product ManagementSQLSnowflakeBigQueryClickHouseDatabricks
Responsibilities
- Own end to end lifecycle of analytical data products from discovery through delivery, adoption, and continuous improvement
- Define product vision and priorities aligned with client business objectives and organizational strategy
- Serve as primary client facing product lead throughout product delivery
- Lead discovery workshops, requirements gathering sessions, and solution scoping discussions
- Maintain, prioritize, and refine product backlogs based on evolving business needs
- Partner with Engineering, Analytics, Architecture, and Data teams to deliver scalable analytical data products
- Lead Agile ceremonies including sprint planning, backlog refinement, stand ups, retrospectives, and release planning
- Collaborate with engineering teams to define data quality, governance, testing, and usability standards
- Perform hands on SQL analysis and data validation when necessary
- Partner with Legal, Privacy, Compliance, and Security teams to ensure regulatory and governance requirements
Requirements
- Bachelor's degree in Computer Science, Data Science, Information Systems, Business, Engineering, or related discipline
- 3–5+ years of experience in Product Management, Data Product Management, Data Management, Analytics, or Data Science
- Proven experience managing full product lifecycle from discovery through launch and continuous improvement
- Strong client facing experience with ability to gather requirements, influence stakeholders, and manage expectations
- Advanced SQL skills
- Experience with modern cloud data platforms such as Snowflake, BigQuery, ClickHouse, Databricks, or Redshift
- Working knowledge of data governance, semantic layer concepts, FAIR principles, and modern data architecture patterns
- Experience working within Agile product development environments
- Excellent communication and presentation skills
Full Job Posting
About ShyftLabs
- ShyftLabs is a fast growing data and AI company that helps organizations unlock the value of their data through modern engineering, analytics, and intelligent products.
- We partner with Fortune 500 organizations to build scalable cloud solutions, AI driven platforms, and innovative data products.
Role Overview
- We're looking for a Data Product Manager to join our growing Data Products team.
- This role combines strong product management expertise with a deep understanding of modern data platforms.
- Reporting to the Director of Analytical Data Products, you'll own the strategy, roadmap, and execution for a portfolio of analytical data products.
What You'll Do
- Own the end to end lifecycle of analytical data products, from discovery and roadmap planning through delivery, adoption, and continuous improvement.
- Define product vision and priorities aligned with client business objectives and organizational strategy.
- Balance new feature development with technical debt reduction, platform scalability, and long term product sustainability.
- Monitor product performance and usage metrics to identify opportunities for optimization and future enhancements.
- Serve as the primary client facing product lead throughout product delivery.
- Lead discovery workshops, requirements gathering sessions, and solution scoping discussions.
- Translate business objectives into clear product requirements and prioritized development backlogs.
- Build trusted relationships with client stakeholders by communicating technical concepts in a clear, business focused manner.
- Manage stakeholder expectations while balancing competing priorities across multiple initiatives.
- Maintain, prioritize, and refine product backlogs based on evolving business needs.
- Partner closely with Engineering, Analytics, Architecture, and Data teams to deliver scalable analytical data products.
- Lead Agile ceremonies including sprint planning, backlog refinement, stand ups, retrospectives, and release planning.
What You Bring
- Bachelor's degree in Computer Science, Data Science, Information Systems, Business, Engineering, or a related discipline.
- 3–5+ years of experience in Product Management, Data Product Management, Data Management, Analytics, or Data Science.
- Proven experience managing the full product lifecycle from discovery through launch and continuous improvement.
- Strong client facing experience with the ability to gather requirements, influence stakeholders, and manage expectations.
- Advanced SQL skills with the ability to analyze datasets and validate business hypotheses.
- Experience working with modern cloud data platforms such as Snowflake, BigQuery, ClickHouse, Databricks, Redshift, or similar technologies.
- Working knowledge of data governance, semantic layer concepts, FAIR principles, and modern data architecture patterns.
- Experience working within Agile product development environments.
- Excellent communication and presentation skills with the ability to explain complex technical concepts to both technical and non technical audiences.
Nice to Have
- Master's degree in Engineering, Data Science, Business, or a related field.
- Experience within Pharma, Biotechnology, Financial Services, Consumer Packaged Goods (CPG), or Management Consulting.
- Familiarity with Customer Data Platforms (CDPs), Omnichannel Marketing, or Digital Marketing Analytics.
- Demonstrated experience using product usage metrics and customer insights to prioritize roadmap investments.
- Experience working with enterprise scale data products serving multiple business units or external clients.
Salary Range
- CAD 130,000 CAD 160,000 (CAD)
Why You’ll Love Working at ShyftLabs
- Hybrid Flexibility: 3 days per week in our downtown Toronto office.
- Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.
- Growth & Learning: Continuous learning opportunities and influence over technical direction.
Inclusion at ShyftLabs
- ShyftLabs is an equal opportunity employer committed to creating a safe, diverse, and inclusive environment.
- We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply.
- If you require accommodation during the interview process, let us know and we’ll be happy to support you.
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