ShyftLabs

Data Product Manager – Analytical Data Products

Toronto, Ontario

Sponsorship not specifiedDetected 5 days ago

SQLBigQuerySnowflakeRedshiftDatabricksData ScienceProduct ManagementProduct StrategyAgileRoadmappingLeadershipCommunicationCollaboration

About the role

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.
Salary Range Why You'll Love Working at ShyftLabs Hybrid Flexibility: 3 days per week in our downtown Toronto office.
Growth & Learning: Continuous learning opportunities and influence over technical direction.

Own the end-to-end lifecycle of analytical data products, from discovery and roadmap planning through delivery, adoption, and continuous improvement.
Serve as the primary client-facing product lead throughout product delivery.
Lead discovery workshops, requirements gathering sessions, and solution scoping discussions.
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.
Collaborate with engineering teams to define data quality, governance, testing, and usability standards.
Perform hands-on SQL analysis and data validation when necessary to support product decisions and client discussions.

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.
Experience working with modern cloud data platforms such as Snowflake, BigQuery, ClickHouse, Databricks, Redshift, or similar technologies.
Working knowledge of:
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.
Advanced SQL skills with the ability to analyze datasets and validate business hypotheses.
Data governance
Semantic layer concepts
FAIR principles
Modern data architecture patterns

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.

100% coverage for health, dental, and vision insurance for you and your dependents from day one.
We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply.
Define product vision and priorities aligned with client business objectives and organizational strategy.

If you require accommodation during the interview process, let us know and we'll be happy to support you.

This listing is sourced directly from ShyftLabs's careers page and normalized into a canonical job model.