opengreenhousestartx
Product owner - Data & AI
Valtech
LocationBengaluru, India
Last observed2026-06-13 05:25:28.785545
Job idstartx-valtech:greenhouse:4876453101
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 a nd 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. Collaborate with UX designers to ensure data products are usable for non-technical industrial users-including frontline workers and field personnel. Work with data governance, security, and compliance teams to ensure adherence to data regulations and global standards (GDPR where applicable). Communicate roadmap, trade-offs, and progress to senior stakeholders across business, IT, and operations. Stay current on Industry 4.0, IoT, connected vehicles/equipment, AgriTech, and AI/ML trends relevant to industrial domains. Must have qualifications 4+ years of product management / product ownership experience, with at least 2 years on data-heavy products (analytics platforms, BI dashboards, ML-powered features, IoT/telemetry products, or data marketplaces). Bachelor’s degree in Engineering, Computer Science, Statistics, or a related discipline; MBA or equivalent is a plus. Domain exposure to at least one of: Manufacturing, Heavy Machinery / Industrial Equipment, Automotive (OEM, Tier-1, or aftermarket), or Agriculture / AgriTech. Strong working knowledge of Agile/Scrum frameworks; CSPO or SAFe POPM certification is a plus. Comfort with SQL and data tools (e.g., Snowflake, Databricks, BigQuery, Tableau, Power BI, Looker) to self-serve insights and validate hypotheses. Understanding of data architecture concepts: data lakes/warehouses, ETL/ELT, streaming (Kafka), APIs, and basic ML lifecycle (training, deployment, monitoring). Proven ability to write crisp PRDs, user stories, and to manage backlogs in Jira / Azure DevOps. Excellent stakeholder management and communication skills, with experience working with global teams across time zones. Bachelor’s degree in Engineering, Computer Science, Statistics, or a related discipline; MBA or equivalent is a plus. Nice to have qualifications Experience with industrial IoT platforms (e.g., AWS IoT, Azure IoT Hub, PTC ThingWorx, Siemens MindSphere) or telematics platforms. Familiarity with MES, SCADA, ERP (SAP), DMS, or CRM systems used in
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