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Valtech Logo Valtech · IT - Software Development

Product owner - Data & AI

India, Bengaluru · Job Posted May 31, 2026
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Job Responsibility

  • 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

Requirements

  • 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
  • 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
  • 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

Nice to have

  • 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 industrial settings
  • Exposure to AI/ML use cases such as predictive maintenance, computer vision for quality inspection, demand forecasting, route optimization, or precision agriculture (soil, crop, weather, satellite/drone data)

What we offer

  • Flexibility, with remote and hybrid work options (country-dependent)
  • Career advancement, with international mobility and professional development programs
  • Learning and development, with access to cutting-edge tools, training and industry experts
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