Capgemini

Data Product Owner| 9 to 15 years | Hyderabad, Chennai, Pune, & Bangalore.

Posted On

June 11, 2025

Location

Hyderabad, Telangana

Experience Level

Experienced Professionals

Job Type

Permanent

Apply By

July 2, 2025

Job Description

The Product Owner III will be responsible for defining and prioritizing features and user stories, outlining acceptance criteria, and collaborating with cross-functional teams to ensure successful delivery of product increments. This role requires strong communication skills to effectively engage with stakeholders, gather requirements, and facilitate product demos.

The ideal candidate should have a deep understanding of agile methodologies, experience in the insurance sector, and possess the ability to translate complex needs into actionable tasks for the development team.

Key Responsibilities:

Define and communicate the vision, roadmap, and backlog for data products.
Manages team backlog items and prioritizes based on business value.
Partners with the business owner to understand needs, manage scope and add/eliminate user stories while contributing heavy influence to build an effective strategy.
Translate business requirements into scalable data product features.
Collaborate with data engineers, analysts, and business stakeholders to prioritize and deliver impactful solutions.
Champion data governance, privacy, and compliance best practices.
Act as the voice of the customer to ensure usability and adoption of data products.
Lead Agile ceremonies (e.g., backlog grooming, sprint planning, demos) and maintain a clear product backlog.
Monitor data product performance and continuously identify areas for improvement.
Support the integration of AI/ML solutions and advanced analytics into product offerings.

Required Skills & Experience:

Proven experience as a Product Owner, ideally in data or analytics domains.
Strong understanding of data engineering, data architecture, and cloud platforms (AWS, Azure, GCP).
Familiarity with SQL, data modeling, and modern data stack tools (e.g., Snowflake, dbt, Airflow).
Excellent stakeholder management and communication skills across technical and non-technical teams.
Strong business acumen and ability to align data products with strategic goals.
Experience with Agile/Scrum methodologies and working in cross-functional teams.
Ability to translate data insights into compelling stories and recommendations.

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