Data Product Manager

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Collaborate with business leaders to pinpoint high-value opportunities in data, analytics, automation, and AI.

• Convert business goals into a prioritized roadmap of reusable data products and capabilities.

• Assess work priorities based on business impact, operational efficiency, customer outcomes, AI readiness, and strategic objectives.

• Establish success metrics that link data product delivery to business results.

• Define enterprise data domains, ownership structures, business definitions, metrics, KPIs, and data contracts.

• Maintain the enterprise data dictionary and business glossary.

• Promote consistency across reporting, dashboards, operational systems, and AI-enhanced workflows.

• Champion data quality, lineage, governance, stewardship, and the proper handling of sensitive data.

• Employ rapid experimentation, AI-assisted prototyping, and iterative validation to develop data and AI product opportunities.

• Convert business challenges and data opportunities into product specifications for technical teams.

• Leverage AI tools to expedite discovery, requirements development, prototype creation, documentation, and decision support.

• Create a prototype-to-spec workflow for AI-enhanced engineering teams.

• Work collaboratively across product, data, AI, business systems, and engineering domains.

• Partner with Data Engineers and Applied AI Engineers on solution design, prototype evaluation, specification refinement, validation, testing, instrumentation, and adoption strategies.

• Ensure that technical solutions align with business intent, data requirements, technical feasibility, governance standards, and measurable outcomes.

• Facilitate an AI-augmented SDLC with AI-assisted specifications, test cases, implementation guidance, and documentation.

• Promote the adoption of trusted enterprise data products, accelerate the delivery of insights and AI-enabled workflows, enhance data quality and governance, and achieve measurable business impact.

⛳️ Requirements

• Over 5 years of experience in Product Management, Data Product Management, Business Systems, Analytics, or a related field.

• Proven experience working with senior business stakeholders to define priorities, requirements, tradeoffs, and success metrics.

• Background in supporting AI, machine learning, copilots, agentic workflows, or intelligent automation.

• Strong comprehension of data platforms, reporting, BI, analytics, data governance, and enterprise data concepts.

• Experience in translating business needs into product specifications, technical requirements, user stories, acceptance criteria, and measurable outcomes.

• Proven track record in collaborative product and engineering environments that utilize rapid prototyping, iterative discovery, and early technical partnerships.

• Exceptional communication, facilitation, and stakeholder management abilities.

• Familiarity with AI-assisted product workflows, rapid prototyping, prompt-based experimentation, or AI-generated specification and documentation methods.

• Experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or similar technologies.

• Exposure to enterprise SaaS business models and operational metrics.

🏝️ Benefits

• Incentive compensation through a company bonus plan.

• Medical, dental, and vision insurance coverage.

• Life and disability insurance (STD/LTD).

• Retirement matching contributions.

• Flexible paid time off policy.

• Paid parental leave.

• Remote work stipend.

• Professional development reimbursement.

• Benefits customized to comply with local regulations and employment status for employees in different locations.