Product Owner

Role Overview: As a Product Owner at Kroll's Chief Data Office (CDO), you will be responsible for the end-to-end ownership, delivery, and adoption of enterprise data products. Your role will involve serving as the single point of accountability for product vision, stakeholder alignment, roadmap execution, and experience quality across assigned data domains. You will work closely with Business stakeholders, Data Engineering, BI/Reporting, Data Science, Governance, and Platform teams to ensure that data products are reliable, intuitive, scalable, and aligned with Kroll's strategic priorities. Emphasis will be placed on clarity of ownership, predictable delivery, and measurable business impact in a complex, enterprise data environment. Key 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. - Ensure products operate with clear ownership, release discipline, and lifecycle management, behaving like true productsnot one-off projects. - Translate business needs into clear, actionable requirements without compromising data integrity or architectural standards. - 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 data quality, lineage, and trust standards, as well as alignment with enterprise data architecture and security policies. - Collect feedback and iterate to continuously improve product experience and impact. Qualification Required: - 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. - 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. Additional details of the company: The Product Owner plays a critical role as a key enabler of CDO's product-led operating model, ensuring that data and analytics investments deliver consistent, trusted, and measurable value to the firm. This role aims to reduce dependency on informal workarounds, fragmented ownership, and vendor-driven execution. Role Overview: As a Product Owner at Kroll's Chief Data Office (CDO), you will be responsible for the end-to-end ownership, delivery, and adoption of enterprise data products. Your role will involve serving as the single point of accountability for product vision, stakeholder alignment, roadmap execution, and experience quality across assigned data domains. You will work closely with Business stakeholders, Data Engineering, BI/Reporting, Data Science, Governance, and Platform teams to ensure that data products are reliable, intuitive, scalable, and aligned with Kroll's strategic priorities. Emphasis will be placed on clarity of ownership, predictable delivery, and measurable business impact in a complex, enterprise data environment. Key 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. - Ensure products operate with clear ownership, release discipline, and lifecycle management, behaving like true productsnot one-off projects. - Translate business needs into clear, actionable requirements without compromising data integrity or architectural standards. - 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 data quality, lineage, and trust standards, as well as alignment with enterprise data architecture and security policies. - Collect feedback