Own strategy, roadmap, and delivery of analytical data products. Lead client discovery, prioritize backlogs, run Agile ceremonies, and ensure launches. Collaborate with engineering and data teams on data quality, governance, architecture (Snowflake, BigQuery, ClickHouse, Databricks, Redshift), perform SQL validation, and drive product adoption and continuous improvement.
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. 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.
Product Strategy & Ownership
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)
ShyftLabs Toronto, Ontario, CAN Office
49 Wellington St E, Suite 300, Toronto, Ontario, Canada, M5E 1C9
Similar Jobs
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Manages B2B collections for overdue receivables, contacting clients, coordinating payment plans, resolving invoice disputes, documenting collection activity, and collaborating with sales and internal teams. The role handles escalated accounts, manages competing priorities, and serves as an informal resource for less experienced team members. Fluency in English and French, strong communication skills, Excel proficiency, and at least three years of collections experience are required.
Top Skills:
ExcelPeoplesoft
Fintech • Payments • Financial Services
Manage relationships with enterprise merchants, provide strategic payments guidance, identify expansion and cross-selling opportunities, and drive commercial outcomes. The role includes stakeholder alignment, business reviews, technical discussions, project coordination, customer advocacy, and cross-functional collaboration across global teams. The position is hybrid in Toronto and requires some domestic and international travel.
Top Skills:
Enterprise SoftwareFinancial TechnologyPayment TechnologyTechnical Infrastructure
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
The Senior Buyer manages procurement for automotive components, capital equipment, tooling, facility services, and MRO commodities. Responsibilities include developing bidding and negotiation strategies, analyzing supplier quotes, negotiating contracts, establishing supply chains, achieving cost savings, supporting supplier audits, managing purchase orders, resolving claims, and coordinating engineering changes. The role requires collaboration with engineering, quality, materials, and suppliers, with travel of up to 20%, including international travel.
Top Skills:
5SApqpCmsErp SystemsGd&TIatf 16949Iso 14001Lean ManufacturingMicrosoft Office SuitePpapSAP
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
