Senior Product Owner

The Product Lead is responsible for delivering enterprise data products, data warehouse solutions, and system integrations, ensuring trusted, scalable, and business-aligned data capabilities. The role bridges business stakeholders and engineering teams, translating product strategy into actionable requirements and successful delivery outcomes., Own and manage the product backlog for:

Data Products

Data Pipelines

Data Warehouse Solutions

System Integrations

Convert product roadmaps into:

User Stories

Data Requirements

Acceptance Criteria

Data Models & Transformations

Partner with Engineering, QA, and Business teams to deliver high-quality solutions.

Define and maintain:

Data Definitions

Data Lineage

Business Rules

Data Quality Standards

Support data validation, testing, UAT, releases, and post-production monitoring.

Ensure seamless integration and data flow across upstream and downstream systems.

Track delivery progress, risks, dependencies, and business impacts.

Drive continuous improvement through usage insights and stakeholder feedback.

Ensure compliance with enterprise data governance, security, and regulatory standards., Product Owners balance business strategy, user needs and development. Capgemini Product Owners often operate in a proxy role for the client. They communicate a compelling product vision and roadmap; create and continually refine a backlog and help the team prioritise work that delivers the most value. They continuously explore, innovate and experiment to bring new ideas to the product. They motivate the team to release, inspect and adapt a constant flow of features, ensuring that the product remains usable, valuable and feasible., Provides product ownership for a product through the full product lifecycle. Provides guidance on methods and leads practices for developing user stories. Advises the client about the product direction and development lifecycle. Manages the involvement of stakeholders and keeps them engaged.

7+ years in:

Product Management

Data Product Delivery

Business Analysis

Data & Analytics Programs

Experience with:

Data Warehouses

Data Pipelines

System Integrations

Agile Delivery

Backlog Management

Strong experience translating business needs into technical and data requirements.

Preferred Skills

Cloud Data Platforms (Snowflake, Databricks, BigQuery, etc.)

ETL/ELT Processes

Data Integration Tools

Data Governance

Metadata & Lineage Management

Modern Data Stack Technologies

Key Competencies

Data Product Ownership

Stakeholder Management

Business Analysis

Agile Product Delivery

Data Quality & Governance

Cross-Functional Collaboration

Strong Analytical & Problem-Solving Skills

Ability to bridge Business and Technical Teams, A Data Product Lead/Product Owner with strong experience in data warehousing, integrations, analytics platforms, agile delivery, and stakeholder management, capable of driving end-to-end delivery of enterprise data products while ensuring data quality, governance, and business value.

The base compensation range for this role in the posted location is $150,353 to $157,278

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.