The ideal candidate is a strategic thinker and great product delivery leader with ability to bring together business leaders, technology leaders and partners to:
Identify critical data products that drive business value
Create product roadmap and release plan
Manage delivery of those products through agile practices
Ensure delivered data products enables expected business value
Key Responsibilities
§ Strategy and Roadmap
o Develop and execute the data product strategy, vision, and roadmap, ensuring alignment with business objectives and strategic goals.
§ Stakeholder Collaboration
o Collaborate with business stakeholders to understand data needs, translate these into actionable tasks, and prioritize them based on business value and urgency. This involves maintaining a comprehensive product backlog for data solutions.
§ Agile Methodologies
o Act as the agile Product Owner for the Data Engineering team, responsible for authoring user stories, prioritizing the team backlog within sprints, and leading development teams through planning, refinement, review, and sprint reviews.
§ Data Governance and Quality
o Ensure data products meet the required standards, including data quality, security, and governance. This involves validating software designs to meet business and operational requirements.
§ Communication and Facilitation
o Facilitate meaningful conversations across all levels and areas of the company, from technical teams to executive levels. Articulate, elicit, and inspire others to execute on the product vision.
§ Project Management
o Plan, direct, and coordinate projects to ensure goals and objectives are accomplished within prescribed time frames and funding parameters. Assist in project support and resource planning.
§ Customer and Product Understanding
Develop a deep understanding of customer and product needs, serving as the voice of the business to the technical team. Ensure traceability between requirements, features, and user stories.
Qualifications.
At least 5 years of relevant experience in product ownership, business analysis, or data-centric activities, with a preference for experience in the insurance industry.
Technical Skills
Proficiency in data technologies such as data warehouses, data lakes, and cloud platforms. Experience with data engineering, ELT/ETL processes, and relevant programming languages like SQL.
Proficiency in reporting, analytics and visualization tools (i.e. PowerBI, Cognos, etc.,)
Business Acumen
Strong understanding of the insurance industry and business objectives. Ability to develop data strategies that align with business goals.
Communication and Collaboration
Agile Product Owner Certification is highly preferred