Senior Data Product Manager, Data & Intelligence

Accountabilities

• • Translate strategic business objectives and stakeholder needs into clear product roadmaps, plans, epics, releases, and actionable requirements.
  • Lead product discovery with business and technical stakeholders to understand user needs, use cases, workflows, dependencies, and desired outcomes.
  • Own product prioritization by balancing customer and business value, strategic alignment, technical feasibility, dependencies, and implementation effort.
  • Partner closely 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 in an Agile environment.
  • Ensure technical solutions remain aligned with defined business outcomes, user needs, scalability expectations, and product objectives.
  • Drive alignment across business and technical teams by clearly communicating priorities, decisions, trade-offs, risks, and delivery 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 to reduce fragmented or one-off solutions.
  • Turn ambiguous strategic objectives and complex business problems into clear, prioritized, and executable plans for technical delivery teams.
  • Drive the development of trusted, reusable, and scalable data and intelligence products that support go-to-market and enterprise decision-making.

  Requirements

  • 8+ years of experience as a Data Product Manager, Technical Product Manager, Product Manager, or in a comparable role working with technically complex products.
  • Strong experience translating strategic business objectives into actionable product roadmaps, product plans, and delivery priorities.
  • Proven stakeholder management experience across both business and technical teams, including the ability to influence without relying on formal authority.
  • Hands-on experience working with analytics and data science products and initiatives.
  • Strong knowledge of product discovery, roadmap development, prioritization, requirements definition, and lifecycle management.
  • Experience managing epics, releases, product backlogs, dependencies, acceptance criteria, and delivery processes within Agile environments.
  • Demonstrated ability to translate ambiguous stakeholder needs and business challenges into clear, executable product plans.
  • Experience partnering closely with engineering and technical development teams to deliver complex products.
  • Working knowledge of data models, data pipelines, APIs, data quality, data governance, analytical platforms, or enterprise data products.
  • Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly to non-technical audiences.
  • Experience in at least one relevant data product domain, such as Customer Data Governance, Master Data Management, Customer 360, customer identity, entity resolution, account hierarchies, or data quality and reconciliation.
  • Experience with enterprise data and analytics platforms, governed datasets, shared metrics, BI products, embedded analytics, data enrichment, or AI-enabled data experiences is highly valuable.
  • Background in predictive analytics, machine learning, recommendation or scoring products, model explainability, experimentation, or operationalizing analytical insights is an advantage.
  • Experience with data warehouses, lakehouse environments, Salesforce or other CRM platforms, third-party data ingestion, automated controls, or globally distributed enterprise environments is a plus.
  • Strong product judgment, strategic thinking, problem-solving ability, adaptability, and collaboration skills.

  Benefits

  • 100% remote position available across Canada.
  • T4 contract engagement.
  • CAD $70–$78 per hour compensation range.
  • Opportunity to work on complex, enterprise-scale data and intelligence products.
  • Exposure to data science, analytics, engineering, BI, governance, and AI-enabled initiatives.
  • Opportunity to influence strategic product direction and build scalable, reusable data capabilities.
  • Collaborative environment working with cross-functional business and technical stakeholders.
  • Professional growth through exposure to sophisticated enterprise transformation and data product challenges.
  • Inclusive and respectful working environment where diverse perspectives and backgrounds are valued.