Valtech
experience innovation
Productowner-Data&AI
Neural analysis suggests this role is
optimal for Mid candidates.
“Product owner - Data & AI at Valtech. Skills: Product ownership, Data products, Agile methodologies. Own end-to-end product lifecycle for data products. Define and maintain prioritized product backlog”
What You'll Achieve.
Define success metrics (OKRs/KPIs); instrument products for measurement; use data to drive prioritization decisions; ensure adherence to data regulations and global standards
Industry & Context.
A curious problem solver who challenges the status quo; use data to drive prioritization decisions; validate hypotheses
What They're Looking For.
Must Have
4+ years of product management / product ownership experience, at least 2 years on data-heavy products, working knowledge of Agile/Scrum, Comfort with SQL and data tools, Understanding of data architecture concepts, Proven ability to write crisp PRDs, user stories, manage backlogs in Jira / Azure DevOps, Excellent stakeholder management and communication skills, experience working with global teams across time zones
Nice to Have
MBA or equivalent, CSPO or SAFe POPM certification, Experience with industrial IoT platforms, Familiarity with MES, SCADA, ERP (SAP), DMS, or CRM systems, Exposure to AI/ML use cases
What You'll Do.
Own end-to-end product lifecycle for data products
Define and maintain prioritized product backlog
Write clear user stories and acceptance criteria
Partner with data engineering and data science teams
Define success metrics (OKRs/KPIs)
Instrument products for measurement
Use data to drive prioritization decisions
Collaborate with UX designers
Work with data governance
How You'll Work.
Team & Collaboration
Lead sprint planning, refinement, and reviews with cross-functional Agile teams; Partner with data engineering and data science teams; Collaborate with UX designers; Work with data governance, security, and compliance teams; Communicate roadmap, trade-offs, and progress to senior stakeholders; experience working with global teams across time zones
Communication Scope
Excellent stakeholder management and communication skills; Communicate roadmap, trade-offs, and progress to senior stakeholders
Process & Methodology
Own the end-to-end product lifecycle, Define and maintain a prioritized product backlog, Manage backlogs in Jira / Azure DevOps
Full Job Description
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: The work we do and the innovation we drive Our values of share, care and dare A workplace culture that fosters creativity, diversity and autonomy Our borderless, global framework, which enables seamless collaboration The role As a Product Owner, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+ YEARS of experience, a growth mindset and a drive to make a lasting impact. You will thrive in this role if you are: A curious problem solver who challenges the status quo A collaborator who values teamwork and knowledge-sharing Excited by the intersection of technology, creativity and data Experienced in Agile methodologies and consulting (a plus) Role responsibilities Own the end-to-end product lifecycle for one or more data products-from discovery and roadmap to launch, adoption, and continuous improvement. Define and maintain a prioritized product backlog, write clear user stories and acceptance criteria, and lead sprint planning, refinement, and reviews with cross-functional Agile teams. Partner with data engineering and data science teams to operationalize pipelines, ML models, and analytics features (forecasting, predictive maintenance, anomaly detection, quality analytics, yield/throughput optimization). Define success metrics (OKRs/KPIs), instrument products for measurement, and use data to drive prioritization decisions. Collabor
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