Data Product Manager – Analytical Data Products

Product Strategy & Ownership

• 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.

Client Partnership

• 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.

Product Delivery

• 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.

• Ensure successful product launches and ongoing operational excellence.

Data & Technical Leadership

• Collaborate with engineering teams to define data quality, governance, testing, and usability standards.

• Contribute to architectural discussions involving modern data platforms including Snowflake, BigQuery, ClickHouse, and similar technologies.

• Advocate for reusable, scalable data products using modern architectural principles including Data Mesh, Data Fabric, Semantic Layer, and FAIR principles.

• Perform hands-on SQL analysis and data validation when necessary to support product decisions and client discussions.

Cross-Functional Collaboration

• Partner with Legal, Privacy, Compliance, and Security teams to ensure products meet regulatory and governance requirements.

• Work closely with executive stakeholders to communicate product strategy, delivery progress, and technical tradeoffs.

• Foster a product-led culture focused on delivering measurable business value through data.
• 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

• 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.
• 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.
• $130,000 - $160,000 (CAD)