Senior Data Product Manager, Data & Intelligence

Job Title: Senior Data Product Manager Data & Intelligence
Job Location: 100% Remote Canada
Job Type: T4 Contract
Experience: 8 Years
Rate: CAD 70 - 78 per hour

Role Summary: NearSource is looking for a Senior Data Product Manager Data & Intelligence to translate strategic business priorities and stakeholder needs into scalable trusted and actionable enterprise data products.

The role operates at the intersection of business strategy data analytics and engineering driving product roadmaps requirements prioritization and cross-functional delivery for complex data and intelligence initiatives.

Key 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 throughout the product lifecycle.
• 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.
• Translate ambiguous strategic objectives into clear prioritized and executable product plans for technical delivery teams.
• Drive delivery of trusted reusable and scalable data and intelligence products that support Go-to-Market decision-making.

Must-Have Skills

• 8 Years of experience as a Data Product Manager Technical Product Manager Product Manager or similar role working with technically complex products.
• 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 including the ability to communicate complex technical concepts to non-technical stakeholders.

Nice-to-Have Skills

• Experience with Customer Data Governance or Master Data Management.
• Experience with Customer 360 customer identity entity resolution account hierarchies match/merge or deduplication.
• Experience with third-party data ingestion data enrichment data quality reconciliation or exception management.
• Experience with policy-driven data workflows controls audibility or automation.
• Experience with enterprise analytical data platforms data warehouses or lake house environments.
• Experience with governed datasets shared metrics data definitions or semantic consistency.
• Experience with BI products dashboard consolidation migration or rationalization.
• Experience with embedded analytics or intelligence within enterprise applications.
• Experience with predictive analytics machine learning recommendation scoring or decision-support products.
• Experience with model explainability experimentation or hypothesis-driven product development.
• Experience operationalizing analytical models and insights within business workflows.
• Experience delivering intelligence or analytics through CRM platforms such as Salesforce.
• Experience working in a complex globally distributed enterprise environment.

Relevant Data Product Experience

Candidates should demonstrate meaningful experience in at least one of the following areas:

• Customer Data Governance: Master Data Management Customer 360 customer identity entity resolution account hierarchies data quality governance reconciliation and automated controls.
• Customer Intelligence at Scale: Enterprise data and analytics platforms governed datasets shared metrics data enrichment product-ionized intelligence BI products embedded analytics and AI-enabled data experiences.
• Strategic Data Research and Data Science Products: Predictive analytics machine learning propensity and recommendation models scoring products model explainability experimentation and operationalized analytical insights.

Apply now or share your resume with salary expectations at . Thank you for considering a career with us! Once you submit your application our Talent Acquisition team will review your resume thoroughly. If theres a strong match well reach out to discuss your experience role details benefits compensation and next steps. While we strive for transparency we may not be able to respond to every applicant due to high volume but we genuinely appreciate your time and interest.

About NearSource: NearSource Technologies is a trusted partner for future-ready software consulting enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the worlds most admired brands working directly on long-term client initiatives.

Equal Opportunity: NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race gender religion sexual orientation age disability or background. Innovation thrives when everyone feels empowered to contribute.