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.

Candidate Profile:

Bachelors degree in Computer Science, Business Administration, or related field; Masters degree preferred.

• Considerable relevant industry or functional experience in insurance. Experience with Commercial & Speciality Insurance products. (Pricing experience preferred)

Good understanding of data technologies, such as databases, data warehouses, and data lakes

• Knowledge of HXRenew and/or Verisk Rulebook preferred.
• Managing stakeholders requirements, translating and working with Tech teams.

Proven experience (5+ years) 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 simial paltforms to allow them to work with data scientists and developers to build and deploy data products.

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