Product Owner

Kroll; New Delhi; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Kroll is seeking a Product Owner in the Chief Data Office to own end-to-end data product delivery, alignment with business goals, and measurable impact across data domains.

You will partner with Business, Data Engineering, BI, Data Science, Governance and Platform teams to ensure reliable, scalable products and clear ownership.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Product ownership

Stakeholder management

Agile

Data analytics

Communication

Tools

Power BI

Databricks

Data warehouses

Job description

Job Description:

The Product Owner (PO) within Kroll’s Chief Data Office (CDO) is accountable for the end‑to‑end ownership, delivery, and adoption of enterprise data products. This role serves as the single point of accountability for product vision, stakeholder alignment, roadmap execution, and experience quality across assigned data domains.

The Product Owner partners closely with Business stakeholders, Data Engineering, BI/Reporting, Data Science, Governance, and Platform teams to ensure data products are reliable, intuitive, scalable, and aligned with Kroll’s strategic priorities. The role emphasizes clarity of ownership, predictable delivery, and measurable business impact in a complex, enterprise data environment.

Key Responsibilities

Product Ownership & Accountability

• 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.

Stakeholder Engagement & Business Alignment

• 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.

Backlog, Roadmap & Delivery Management

• 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.

Governance, Quality & Standards

• 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.

Adoption, Value & Continuous Improvement

• 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.

Required

Qualifications & Experience

• 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.

Preferred

• 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.

Leadership Behaviors & Expectations

• 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.

Why This Role Matters

The Product Owner is a critical enabler of CDO’s product‑led operating model, ensuring that data and analytics investments deliver consistent, trusted, and measurable value to the firm—while reducing dependency on informal workarounds, fragmented ownership, and vendor‑driven execution.