Senior Product Owner – Data & Analytics to lead the vision, strategy, backlog management, and

Title: Senior Product Owner, Data and Analytics

The Senior Product Owner will own the vision, backlog, and value delivery for one or more data and analytics products within a large, multi-stream enterprise data program. This role is the bridge between business stakeholders and agile delivery teams, translating strategic objectives into prioritized, well-defined work that delivers measurable business outcomes. The successful candidate will work across data platform, data engineering, analytics, and AI teams to ensure trusted, reusable, and high-quality data products reach business users on time.

Location - Montreal

Duration - 1 year

Start - ASAP

Work Mode - Remote

Industry: Airline / Aviation

Key Responsibilities

Product Vision and Strategy

• Define and communicate the product vision, roadmap, and success measures for assigned data and analytics products, aligned to program and enterprise objectives.
• Partner with business sponsors to identify high-value use cases and translate them into data product requirements.
• Evaluate trade-offs between business value, technical feasibility, cost, and risk to guide investment decisions.

Backlog Ownership and Prioritization

• Own, refine, and prioritize the product backlog, ensuring it is transparent, sequenced by value, and ready for upcoming sprints.
• Write clear epics, features, and user stories with well-defined acceptance criteria, data definitions, and quality expectations.
• Lead backlog refinement, sprint planning, sprint reviews, and Program Increment (PI) planning in partnership with the Scrum Master and delivery leads.
• Manage dependencies across data pods, platform teams, and downstream consumers.

Stakeholder Engagement

• Serve as the primary point of contact for business stakeholders on product scope, priorities, and delivery status.
• Facilitate requirements workshops, demonstrations, and user acceptance testing with business users.
• Communicate progress, risks, and decisions clearly to program leadership and executive sponsors.

Data Product Delivery and Quality

• Ensure data products meet defined standards for data quality, lineage, metadata, security, and privacy.
• Collaborate with data governance, architecture, and data stewardship teams to embed governance requirements into the backlog.
• Accept or reject completed work against the Definition of Done and acceptance criteria.
• Drive adoption of delivered products by working with business users on onboarding, training, and feedback.

Continuous Improvement

• Track product performance and value realization using defined key performance indicators.
• Gather user feedback and usage insights to inform future iterations of the roadmap.
• Contribute to the maturity of product management practices across the program.

Required Qualifications

• 8 or more years of experience in product ownership, product management, or business analysis, including at least 4 years in data, analytics, or business intelligence products.
• Strong knowledge of the airline industry, including core domains such as network planning, revenue management, flight operations, loyalty, and customer experience, and the data that supports them.
• Proven experience as a Product Owner in an Agile or Scaled Agile Framework (SAFe) environment, including PI planning and multi-team coordination.
• Strong understanding of modern data platforms and concepts, including data warehousing, data lakes or lakehouses, data pipelines, and data modelling.
• Working knowledge of data governance, data quality, metadata management, and data privacy principles.
• Demonstrated ability to write high-quality user stories and acceptance criteria for data and analytics work.
• Experience with backlog and delivery tools such as Jira, Azure DevOps, or Rally, and collaboration tools such as Confluence.
• Excellent stakeholder management skills, with the ability to influence senior business and technology leaders.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent written and verbal communication skills.

Nice to Have

• Certified Scrum Product Owner (CSPO), Professional Scrum Product Owner (PSPO), or SAFe Product Owner/Product Manager (POPM) certification.
• Hands-on familiarity with cloud data platforms such as Snowflake, Databricks, Microsoft Azure, Google Cloud Platform, or Amazon Web Services.
• Experience with analytics and visualization tools such as Power BI, Tableau, or Looker.
• Exposure to artificial intelligence, machine learning, or agentic AI use cases and the data foundations that support them.
• Experience applying data product or data mesh operating models.
• Direct experience delivering data or analytics products within an airline or major travel organization.
• Experience working in a consulting or client-facing delivery environment.
• Bilingual in English and French is an asset.