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 there's a strong match, we'll 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 world's 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.
Originally posted on