Data Product Owner

ALPEE; Annecy; On-site; EUR 70,000 - 95,000; Full time

Job summary

ALPEE is seeking a Data Product Owner to lead the end-to-end data product lifecycle, from discovery and framing through delivery and post-release adoption. You will work with business stakeholders to define use cases, assess data maturity, and shape the product backlog.

You will lead an Agile delivery squad, write Epics and User Stories, and coordinate UAT, releases and enablement activities. Strong focus on value delivery, data quality, and ongoing measurement is essential.

Qualifications

• 4-6 years of experience as Data Product Owner, PM, or similar.
• Proven track record owning data products end to end.
• Experience with Agile / PI Planning delivery model.
• Experience running discovery with business teams and translating ambiguous needs into Epics and User Stories.
• Ability to lead a cross-functional data delivery squad and manage a backlog.

Responsibilities

• Consolidate all needs into a backlog, confirm Epics and write detailed User Stories.
• Prioritize delivery based on business value, aligning with PI Planning timelines.
• Act as the daily operational leader for technical delivery squad and guide Agile rituals.
• Coordinate Release, UAT and enablement activities; communicate releases to business.
• Define and track adoption metrics; measure business impact and feed the backlog iteratively.

Skills

Data product ownership

Agile / PI Planning

Stakeholder engagement

Backlog management

User stories writing

Data modeling

UAT coordination

Job description

• Discover and map the “AS-IS” status of business teams, including their current analytic solutions and data rituals
• Frame the “TO-BE” business problems, understanding key decisions, use cases, and summarizing the business team's data maturity
• Identify project stakeholders and Data Champions, and define the required product solution type (Self-Service, Enterprise BI, AI solution)

2. Detailed Data Assessment

• Assess granular data needs: sources, required granularity, frequency, dimensions of analysis, and calculation logic for KPIs
• Identify access, visibility, and privacy rules for sensitive data
• Assess basic quality expectations (freshness, completeness, accuracy) and perform preliminary QA on data availability

3. Data Modeling & Prototyping

• Understand existing AS-IS semantic models and their use cases
• Propose conceptual and simplified logical / physical data modeling to bridge the gap before engineering implementation
• Define the user journey, build mock-up proposals, and validate them directly with business stakeholders

4. Backlog Management & Delivery Strategy

• Consolidate all needs into a manageable backlog, confirming Epics and writing detailed User Stories
• Prioritize delivery based on business value, aligning with PI Planning timelines
• Functional Squad Leadership: act as the daily operational leader for technical delivery squad, animating Agile rituals and guiding their execution

5. Release, UAT & Enablement

• Validate developed solutions internally and orchestrate formal business UAT sessions
• Communicate releases directly to the business audience
• Train users — post-release demos, recorded functionality showcases — and provide comprehensive documentation

6. Adoption Measurement & Continuous Improvement

• Define & track adoption metrics: monitor quantitative usage post-release to assess true penetration within the business team
• Measure business impact: evaluate realized value against the initial “TO-BE” framing (e.g. time saved in reporting, revenue uplift from a pricing model, error reduction in supply chain forecasting)
• Build systematic feedback loops: establish qualitative mechanisms to identify friction points and capture evolving needs (e.g. satisfaction surveys, quarterly shadowing sessions, open office hours)
• Feed the backlog iteratively: translate operational feedback and user requests into prioritized tickets to continuously improve the data product's reliability and feature set
• 4-6 years of experience as Data Product Owner, Data Product Manager, or in a similar product-facing data role
• Proven track record owning data products end to end — from business discovery and framing through delivery, UAT, and post-release adoption
• Experience running discovery with business teams and translating ambiguous needs into Epics and User Stories
• Experience working inside an Agile / PI Planning delivery model