{"id":3987437,"url":"https://alion.io/job/s-i-systems-senior-product-owner-data-analytics","title":"Senior Product Owner – Data & Analytics","company":{"id":3865830,"name":"S.i. Systems","domain":"sisystems.com","url":"https://alion.io/company/sisystems-2","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Edmonton, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Confluence","optional":false},{"name":"Jira","optional":false},{"name":"Scrum","optional":false},{"name":"AI Agents","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Looker","optional":true},{"name":"Machine Learning","optional":true},{"name":"Power BI","optional":true},{"name":"Snowflake","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-09T08:37:42Z","employer_posted_date":null,"last_verified_at":"2026-11-09T08:37:42Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Title: Senior Product Owner, Data and Analytics\nThe 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.\n\nLocation - Montreal\nDuration - 1 year\nStart - ASAP\nWork Mode - Remote \nIndustry: Airline / Aviation\n\nKey Responsibilities\n\nProduct Vision and Strategy\nDefine and communicate the product vision, roadmap, and success measures for assigned data and analytics products, aligned to program and enterprise objectives.\nPartner with business sponsors to identify high-value use cases and translate them into data product requirements.\nEvaluate trade-offs between business value, technical feasibility, cost, and risk to guide investment decisions.\nBacklog Ownership and Prioritization\nOwn, refine, and prioritize the product backlog, ensuring it is transparent, sequenced by value, and ready for upcoming sprints.\nWrite clear epics, features, and user stories with well-defined acceptance criteria, data definitions, and quality expectations.\nLead backlog refinement, sprint planning, sprint reviews, and Program Increment (PI) planning in partnership with the Scrum Master and delivery leads.\nManage dependencies across data pods, platform teams, and downstream consumers.\nStakeholder Engagement\nServe as the primary point of contact for business stakeholders on product scope, priorities, and delivery status.\nFacilitate requirements workshops, demonstrations, and user acceptance testing with business users.\nCommunicate progress, risks, and decisions clearly to program leadership and executive sponsors.\nData Product Delivery and Quality\nEnsure data products meet defined standards for data quality, lineage, metadata, security, and privacy.\nCollaborate with data governance, architecture, and data stewardship teams to embed governance requirements into the backlog.\nAccept or reject completed work against the Definition of Done and acceptance criteria.\nDrive adoption of delivered products by working with business users on onboarding, training, and feedback.\nContinuous Improvement\nTrack product performance and value realization using defined key performance indicators.\nGather user feedback and usage insights to inform future iterations of the roadmap.\nContribute to the maturity of product management practices across the program.\n\nRequired Qualifications\n8 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.\nStrong 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.\nProven experience as a Product Owner in an Agile or Scaled Agile Framework (SAFe) environment, including PI planning and multi-team coordination.\nStrong understanding of modern data platforms and concepts, including data warehousing, data lakes or lakehouses, data pipelines, and data modelling.\nWorking knowledge of data governance, data quality, metadata management, and data privacy principles.\nDemonstrated ability to write high-quality user stories and acceptance criteria for data and analytics work.\nExperience with backlog and delivery tools such as Jira, Azure DevOps, or Rally, and collaboration tools such as Confluence.\nExcellent stakeholder management skills, with the ability to influence senior business and technology leaders.\nStrong analytical, problem-solving, and decision-making skills.\nExcellent written and verbal communication skills.\n\nNice to Have\nCertified Scrum Product Owner (CSPO), Professional Scrum Product Owner (PSPO), or SAFe Product Owner/Product Manager (POPM) certification.\nHands-on familiarity with cloud data platforms such as Snowflake, Databricks, Microsoft Azure, Google Cloud Platform, or Amazon Web Services.\nExperience with analytics and visualization tools such as Power BI, Tableau, or Looker.\nExposure to artificial intelligence, machine learning, or agentic AI use cases and the data foundations that support them.\nExperience applying data product or data mesh operating models.\nDirect experience delivering data or analytics products within an airline or major travel organization.\nExperience working in a consulting or client-facing delivery environment.\nBilingual in English and French is an asset.\n\nDisclaimer:\nAI may be used in evaluating candidates.\nThis posting is for an existing vacancy.","description_format":"text","description_chars":4882,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-09T22:09:45Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely 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