Senior Data Product Manager – Data & Intelligence

100% remote job in Canada Seeking an experienced Data Product Manager to help translate strategic business priorities and stakeholder needs into scalable, trusted, and actionable data products. This role sits at the intersection of business strategy, data, analytics, and engineering. The Data Product Manager will own the translation of strategic objectives and use cases into clear product roadmaps, requirements, priorities, and executable plans for technical teams. The ideal candidate combines strong Technical Product Management fundamentals—roadmapping, discovery, prioritization, stakeholder management, requirements definition, and cross-functional delivery—with experience building or managing enterprise data products. Candidates should bring strong experience in at least one of GDI's three strategic areas, with preference toward Customer Data Governance and Customer Intelligence at Scale. Top 3 skills: Strategic planning. Stakeholder management. Analytics and data science experience - Customer Data governance, Business Intelligence Product Management, Data Science Product Management. Key Responsibilities: Translate strategic goals and business needs into product roadmaps, product plans, epics, releases, and actionable requirements. Lead product discovery with business stakeholders and technical teams to understand user needs, use cases, workflows, and desired outcomes. Own prioritization based on customer value, strategic fit, dependencies, technical feasibility, and implementation effort. Partner closely with Engineering Managers, Tech Leads, Data Engineers, Analysts, Data Scientists, BI teams, and Data Governance specialists throughout the product lifecycle. Manage product backlogs, requirements, dependencies, risks, acceptance criteria, release readiness, and stakeholder communication. Ensure technical solutions remain aligned with intended business and user outcomes. Drive alignment across multiple teams and stakeholders, clearly communicating priorities, decisions, trade-offs, and progress. Establish feedback loops and success measures to continuously improve product quality, adoption, scalability, and business impact. Identify opportunities for standardization, reuse, simplification, and automation rather than one-off solutions. Relevant Data Product Experience: Candidates should demonstrate meaningful experience in at least one of the following areas: 1. Trusted Customer Foundation / Customer Data Governance — Preferred Experience with data products involving areas such as: Master Data Management, Customer 360, or customer identity Entity resolution, account hierarchies, match/merge, and deduplication Third-party data ingestion and enrichment Data quality, governance, reconciliation, and exception management Policy-driven workflows, controls, auditability, and automation 2. Customer Intelligence at Scale — Preferred Experience with enterprise data and analytics products involving areas such as: Analytical data platforms, warehouses, or lakehouse environments Governed datasets, shared metrics, definitions, and semantic consistency Data enrichment, pipelines, APIs, and productionized intelligence BI products, dashboard consolidation, migration, or rationalization Embedded analytics or intelligence within enterprise applications AI-, assistant-, or agent-enabled data experiences 3. Strategic Data Research / Data Science Products Experience product-managing areas such as: Predictive analytics or machine-learning products Expansion, retention, propensity, recommendation, or scoring models Model explainability and actionable signals Experimentation and hypothesis-driven product development Operationalizing analytical models and insights into business workflows Required Qualifications: Demonstrated experience as a Data Product Manager, Technical Product Manager, Product Manager, or similar role working with technically complex products. Strong experience with product discovery, roadmap development, prioritization, requirements definition, and cross-functional delivery. Proven ability to translate ambiguous business problems and stakeholder needs into clear and executable product plans. Experience managing epics, releases, backlogs, dependencies, and acceptance criteria in an Agile development environment. Strong stakeholder management skills and ability to facilitate decisions and trade-offs across business and technical teams. Experience partnering closely with engineering or technical development teams. Working knowledge of modern data concepts such as data models, pipelines, APIs, data quality, governance, analytical platforms, or data products. Preferred Qualifications Strong experience in Customer Data Governance / MDM and/or enterprise Data & Analytics products. Experience with third-party data, data enrichment, governance, or analytical standardization. Experience delivering intelligence or analytics through enterprise workflows or CRM platforms such as Salesforce. Experience product-managing data science, machine-learning, recommendation, scoring, or decision-support products. Experience working in a complex, globally distributed enterprise environment. What Success Looks Like The successful Data Product Manager will: Turn ambiguous strategic objectives into clear, prioritized, and executable product roadmaps. Enable technical teams with high-quality requirements, product plans, and decisions. Build strong alignment between stakeholders, business outcomes, and technical execution. Help GDI deliver trusted, reusable, scalable data and intelligence products that improve Go-to-Market decision-making.

Translate strategic business priorities and stakeholder needs into scalable, actionable data product roadmaps and executable plans. Lead product discovery and manage backlogs to ensure technical solutions align with business outcomes and user needs.

Requires demonstrated experience as a Data or Technical Product Manager with expertise in product discovery, roadmapping, and Agile delivery. Must have working knowledge of modern data concepts such as pipelines, APIs, and data governance.

• Analyse de donnéesSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Strategic Planning
• Stakeholder Management
• Analytics
• Data Science
• Customer Data Governance
• Business Intelligence Product Management
• Data Science Product Management
• Product Roadmapping
• Product Discovery
• Prioritization
• Requirements Definition
• Cross-functional Delivery
• Agile Development
• Master Data Management
• Customer 360
• Data Modeling

• Data & Analytics
• Technology
• Management & Leadership
• Software
• Engineering

Expérience minimale

5+ ans

Postuler avant le

24 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Ontario, Canada

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte