Data Product Manager – Analytical Data Products
ShyftlabsOntario, CA
At a glance
- Location
- Ontario, CA
- Workplace
- Hybrid
- Pay
- 130K – 160K CAD (from listing text)
- Employment type
- Full time
- Experience
- 3+ years
- Education
- Bachelor (required)
- Job family
- Product
- Seniority
- Manager
- Posted by employer
- 16 July 2026
- Last verified open
- 23 October 2026
- Region and country
- CA
- Listed via
- Lever
What the employer wrote
What You'll Do 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.
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
• 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 • $130,000 - $160,000 (CAD)
Where this record came from
Read from Shyftlabs's own Lever job board on , and last confirmed still open on . The employer published it on 16 July 2026. Jobsearch.ing did not write, edit or rank this posting, and does not vet the employer. View the original posting.
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