Senior Data Product Manager, Data & Intelligence
New
N
NearSourceData & Intelligence
100% Remote, CanadaContractSenior
Salary70 - 78 CAD per hour
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Job Details
- Experience
- 8+ Years
- Required Skills
- AgileBusiness IntelligenceData scienceRESTful APIsStakeholder managementData modeling
Requirements
- 8+ Years of experience as a Data Product Manager, Technical Product Manager, Product Manager, or similar role.
- Strong experience in strategic planning and translating business objectives into actionable product roadmaps.
- Strong stakeholder management experience across business and technical teams.
- Hands-on experience with analytics and data science products.
- Experience with product discovery, roadmap development, prioritization, and requirements definition.
- Experience managing epics, releases, product backlogs, dependencies, and acceptance criteria in an Agile environment.
- Proven ability to translate ambiguous business problems and stakeholder needs into clear and executable product plans.
- Experience partnering closely with engineering or technical development teams.
- Working knowledge of data models, data pipelines, APIs, data quality, data governance, analytical platforms, or enterprise data products.
- Strong written and verbal communication skills.
Responsibilities
- Translate strategic business goals and stakeholder needs into product roadmaps, product plans, epics, releases, and actionable requirements.
- Lead product discovery with business stakeholders and technical teams to define user needs, use cases, workflows, and desired outcomes.
- Own product prioritization based on customer value, strategic alignment, dependencies, technical feasibility, and implementation effort.
- Partner with Engineering Managers, Technical Leads, Data Engineers, Analysts, Data Scientists, Business Intelligence teams, and Data Governance specialists.
- Manage product backlogs, requirements, dependencies, risks, acceptance criteria, release readiness, and stakeholder communications.
- Ensure technical solutions remain aligned with defined business and user outcomes.
- Drive alignment across business and technical stakeholders by communicating priorities, decisions, trade-offs, risks, and progress.
- Establish feedback loops and success measures to improve product quality, adoption, scalability, and business impact.
- Identify opportunities for standardization, reuse, simplification, and automation to reduce one-off solutions.
- Drive delivery of trusted, reusable, and scalable data and intelligence products that support Go-to-Market decision-making.
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