Product Owner - Data & Business Intelligence

Role overview

What you'll do

• Own roadmaps and backlogs for data products, dashboards, operational reporting, semantic models, self-service analytics, and data quality initiatives.
• Understand stakeholder decisions and operational questions; prioritize requests by value, readiness, effort, urgency, dependencies, regulatory needs, and reach.
• Translate business needs into user stories, metric definitions, acceptance criteria, security requirements, data expectations, and measurable outcomes.
• Partner with technical teams to deliver analytics and facilitate discovery, KPI sessions, refinement, reporting rationalization, UAT, demonstrations, and releases.
• Promote governed, reusable reporting; lead validation, testing, adoption, training, documentation, and post-launch measurement.
• Monitor quality, usage, adoption, performance, business impact, and value; maintain practical data governance.

Required experience and qualifications

• Five or more years in product ownership, BI, analytics, data product management, business analysis, reporting, process improvement, digital transformation, or related roles.
• Power BI experience and experience managing roadmaps and competing business and reporting demands.
• Strong business analysis skills, including discovery, process mapping, requirements, user stories, KPI design, acceptance criteria, and benefit measurement.
• Working knowledge of semantic models, dimensional modelling, data quality, lineage, governance, security, refresh cycles, and self-service analytics.
• Experience defining business metrics, validating source data, reconciling reporting outputs, investigating defects, and leading testing, releases, training, and adoption.
• Strong stakeholder management, facilitation, consulting, and communication skills across technical, operational, and executive audiences.

Nice to have

• Microsoft Fabric, Azure Data Services, SQL, DAX, Power Query, Dataverse, or comparable analytics platforms.
• Enterprise systems such as Dynamics 365, ERP, CRM, finance, warehouse, sales, commerce, or supply chain platforms.
• Familiarity with star schemas, certified semantic models, data catalogues, row-level security, governance frameworks, or reporting lifecycle management.
• Experience rationalizing legacy reports and spreadsheets, developing KPI dictionaries, supporting self-service analytics, or improving data literacy.
• Microsoft certifications in Data & AI, Power BI, Fabric, Azure, Business Applications, or related technologies.

Work environment

• The posting describes a hybrid work environment.

What Trail offers

• Competitive compensation and benefits, professional development, and continuous learning.
• Collaborative, supportive, values-driven culture and the opportunity to influence business decision-making and performance.