Data Product Owner: End-to-End Data Solutions Leader

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

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.