8 дней назад
Data Product Owner (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
Data Product Owner (AI): Owning data products from business problem framing through delivery, validation, adoption, and impact measurement with an accent on data architecture, stakeholder discovery, and business-focused product design. Focus on defining data models, prioritizing Agile backlogs, leading technical delivery squads, validating solutions through UAT, and measuring adoption.
Location: Annecy, France
Company
is a mountain sports brand within Amer Sports, designing and producing footwear, apparel, skis, bindings, and outdoor equipment.
What you will do
- Own one or several data products across business framing, solution delivery, adoption measurement, and continuous iteration.
- Map current business processes, analytics solutions, data practices, and maturity; define target problems, decisions, use cases, stakeholders, and Data Champions.
- Assess data sources, granularity, frequency, analytical dimensions, KPI logic, access and privacy rules, quality, and availability.
- Propose conceptual, logical, and physical data models; define user journeys and validate mock-ups with business stakeholders.
- Manage the backlog, define Epics and User Stories, prioritize delivery by business value, and lead Agile rituals and the technical delivery squad.
- Validate releases, coordinate business UAT, communicate outcomes, train users, document solutions, and track adoption and business impact.
Requirements
- 4–6 years of experience as a Data Product Owner, Data Product Manager, or in a similar product-facing data role.
- End-to-end ownership of data products from business discovery through UAT and post-release adoption.
- Experience running discovery with business teams and translating ambiguous needs into Epics and User Stories.
- Experience working within an Agile and PI Planning delivery model.
- Strong product and Agile skills, including backlog prioritization, PI Planning, and User Story mapping.
- Advanced data architecture skills, including the ability to propose physical data models such as Snowflake table structures.
- Strong SQL and BI proficiency, with hands-on experience building mock-ups in Power BI or Tableau.
- Demonstrated use of AI tools in a business context, such as Copilot or Claude.
Culture & Benefits
- Permanent, full-time employment.
- Work within an internationally recognized mountain sports brand headquartered in Annecy.
- Inclusive environment supported by diversity and sustainability commitments.
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