Data Product Owner

About the job Data Product Owner


Role & Responsibilities:

• Collaborate with stakeholders (Domain Lead(Ops, IT, Data leads)) to understand the business needs and shape the vision and roadmap for data-driven initiatives to alignment with strategic priorities.
• Contributes to the development of the program vision. Communicates product and portfolio vision to their team.
• Work with data scientists, engineers, and designers to ensure that products get built efficiently, meet user needs, and provide actionable insights.
• Analyze data sources, data technologies and vendors providing data services to leverage in the data product roadmap development; Create necessary ER diagrams, data models, PRD/BRD to convey requirements
• Accountable for developing and achieving product level KPIs. Manages product(s) (data products) with a moderate degree of strategy, scope, and complexity.
• Ensuring data accuracy, consistency, and security by establishing data governance frameworks, defining data quality standards, and implement data management best practices to maintain high data integrity.
• Collaborates with technology and business leadership to align system/application integrations inline with business goals, priorities. Resolves open issues/questions quickly and efficiently.
• Owns and maintains the product backlog and is accountable for its contents and prioritization. Accountable for clear, actionable user stories.
• Sets priorities and actively participates in squad/team quarterly planning. Collaborates with more senior Product Owners to set priorities for program quarterly planning.
• Sets expectations with stakeholders for delivery of new capabilities, features, and functionalities. Participates in team demos, retrospectives, and all other ceremonies.
• Works daily with the agile working group, clarifying business requirements, removing roadblocks, constantly communicating, and supporting alignment around product strategy.
• Monitors and maintains the product health, supporting long-term product viability and efficiency, and balancing long and short term and costs with desired outcomes.
• Analyzes and reports on feasibility, cost of delay ramifications, economies, or other aspects of planned or potential changes to the product.
• Understands regulatory, compliance, and other industry constraints on the product and prioritizes accordingly. Negotiates with internal and external teams to ensure priorities are aligned across squads/teams both within and outside the portfolio.

• Bachelor's degree in Computer Science, Business Administration, or related field; Master's degree preferred.
• 5+ years' experience in Insurance industry (Actuarial background preferred)
• Experience with implementing & owning development of product/platforms across pricing/underwriting lifecycle
• Experience with platforms like HXRenew, Runway
• Experience working with Actuaries / UWs/ Product managers and engineers , IT team
• Good understanding of data technologies, such as databases, data warehouses, and data lakes
• Proven experience as a Data Product Owner, Data Product Manager, or similar role in data or software development or technology industry.
• Familiar with programming languages, such as Python/R/SQL/SAS or cloud technologies like AWS, Azure or other similar platforms to allow them to work with data scientists and developers to build and deploy data products.
• Strong understanding of Agile methodologies, including Scrum and Kanban, and experience working in Agile environments.
• Excellent analytical, problem-solving, and decision-making skills, with the ability to prioritize competing demands effectively.
• Exceptional communication, negotiation, and interpersonal skills, with the ability to influence and collaborate across team.
• Strong Presentation and leadership skills
• Experience with product management tools such as JIRA, Trello, or Asana, and proficiency in Microsoft Office Suite.
• Familiarity with UX/UI design principles, software development lifecycle (SDLC), and software engineering concepts is a plus.
• Agile practitioner capabilities and experience working with or in Agile teams
• Strong team-work, co-ordination, organization and planning skills
• Ability to capture complex requirements in a prioritized backlog