Product Owner

• Define and own the product vision, roadmap, and backlog for enterprise data, analytics, or AI product areas.
• Serve as the single point of accountability for product outcomes, delivery health, and user experience.
• Define and communicate product goals, success metrics, and value drivers to stakeholders and delivery teams.
• Ensure products operate with clear ownership, release discipline, and lifecycle management, behaving like true products-not one-off projects.

• Act as the primary interface between the CDO and business, finance, and functional leaders for assigned domains.
• Partner with stakeholders to prioritize demand, manage tradeoffs, and align delivery to business timelines.
• Translate business needs into clear, actionable requirements without compromising data integrity or architectural standards.
• Establish and maintain trusted relationships that enable fast decision-making and alignment.

• Own and maintain a prioritized, well-defined backlog with clear acceptance criteria and readiness standards.
• Work with Program Managers, Scrum Masters, and delivery teams to plan releases and manage dependencies.
• Balance short-term delivery needs with long-term product health, scalability, and maintainability.
• Surface risks, constraints, or scope trade-offs early to enable leadership decisions.

• Partner with Data Governance, Data Stewards, and Platform Owners to ensure:
  • Consistent KPI definitions and metric logic
  • Data quality, lineage, and trust standards
  • Alignment with enterprise data architecture and security policies
• Ensure products meet operational readiness standards prior to release and are supported post-launch.

• Drive product adoption by ensuring solutions is intuitive, reliable, and aligned to real user workflows.
• Define and track usage, adoption, and value realization metrics.
• Collect feedback and iterate to continuously improve product experience and impact.
• Support leadership by providing a clear narrative on what is delivered, what value it creates, and what comes next.

• 5+ years of experience in Product Ownership, Business Analysis, Analytics, or Data-centric roles.
• Proven ability to own roadmaps, backlogs, and stakeholder relationships in a complex enterprise environment.
• Strong understanding of data, reporting, analytics, or BI platforms (e.g., Power BI, Databricks, data warehouses).
• Experience working in Agile or hybrid delivery models with engineering and analytics teams.
• Exceptional communication skills, with the ability to translate between business objectives and technical execution.

• Experience in a Chief Data Office, Analytics, or Enterprise Reporting organization.
• Familiarity with data governance, semantic models, KPI standardization, and self-service analytics.
• Experience supporting finance, operations, or enterprise-wide reporting domains.
• Prior experience working in a vendor-heavy environment and helping transition to more internal ownership.

• Operates with clear ownership and accountability.
• Brings structure, clarity, and discipline to ambiguous problem spaces.
• Makes trade-offs explicitly and escalates decisions appropriately.
• Focuses on outcomes and value, not just delivery.
• Trusted partner to both business leaders and technical teams.

Location - Hyderabad,Bengaluru,Mumbai,New Delhi