Data Product Manager – Analytical Data Products
Toronto, Ontario
- Pay
CAD 130,000–160,000/yearAnnual period assumed — pay source
Salary Range $130,000 - $160,000 (CAD) Why You’ll Love Working at ShyftLabs
Read the full posting- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-Time
Read the full posting
What you’ll work on
Full postingOwn the end-to-end lifecycle of analytical data products, from discovery and roadmap planning through delivery, adoption, and continuous improvement.
Lead discovery workshops, requirements gathering sessions, and solution scoping discussions.
Maintain, prioritize, and refine product backlogs based on evolving business needs.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Data Science, Information Systems, Business, Engineering, or a related discipline.
- Experience working within Agile product development environments.
- Master's degree in Engineering, Data Science, Business, or a related field.
- 3–5+ years of experience in Product Management, Data Product Management, Data Management, Analytics, or Data Science.
- Excellent communication and presentation skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience within Pharma, Biotechnology, Financial Services, Consumer Packaged Goods (CPG), or Management Consulting.
Qualification wording
Bachelor's degree in Computer Science, Data Science, Information Systems, Business, Engineering, or a related discipline.
Experience working within Agile product development environments.
Master's degree in Engineering, Data Science, Business, or a related field.
3–5+ years of experience in Product Management, Data Product Management, Data Management, Analytics, or Data Science.
Excellent communication and presentation skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Experience within Pharma, Biotechnology, Financial Services, Consumer Packaged Goods (CPG), or Management Consulting.
Tools in this posting
- SQL
- BigQuery
- ClickHouse
- Databricks
- Redshift
- Snowflake
Source — Tool mentions in context
- 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
- 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.
- 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.
- 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:
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.
In the employer’s words · Read in context
Job description
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 that accelerate business outcomes.
We're looking for a Data Product Manager to join our growing Data Products team. This role is ideal for someone who combines strong product management expertise with a deep understanding of modern data platforms and enjoys partnering directly with clients to translate complex business challenges into scalable analytical solutions.
Reporting to the Director of Analytical Data Products, you'll own the strategy, roadmap, and execution for a portfolio of analytical data products while serving as the primary point of contact for client stakeholders. You'll collaborate closely with engineering, analytics, and architecture teams to deliver high-quality, reusable data products that drive measurable business value.
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.
- Ensure successful product launches and ongoing operational excellence.
- 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.
- 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.
Product Strategy & Ownership
Client Partnership
Product Delivery
Data & Technical Leadership
Cross-Functional Collaboration
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)
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
We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.
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.
Employment type
Full-Time
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary Range $130,000 - $160,000 (CAD) Why You’ll Love Working at ShyftLabs
- Location & working pattern
Toronto, Ontario
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 18, 2026
- Recorded sightings
- 27
- Last seen by us
- Oct 7, 2026
- Employer says posted
- Jul 16, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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