Product Lead

Capgemini

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.

Your Role

The Product Lead is responsible for executing the delivery of enterprise

data products, data warehouse solutions, and system integrations in alignment

with defined product strategy. This role works closely with Product Managers,

data engineering, and business stakeholders to translate roadmap priorities

into actionable requirements, ensuring the reliable and scalable delivery of

data solutions that support reporting, analytics, and operational needs. The

Product Lead drives backlog execution, data quality, and cross system

integration while ensuring adherence to enterprise data governance and platform

standards. This role plays a key part in enabling consistent, trusted, and accessible

data across the organization through disciplined delivery and stakeholder

collaboration.

Product strategy and roadmap into detailed features, user stories, and

data product requirements, including data models, transformations, and

integration needs.

Your Profile

Partner with engineering, QA, and delivery teams to ensure high

quality, scalable, and timely delivery of data solutions.

Collaborate with stakeholders to gather requirements, define data

needs and metrics, and validate solutions against business outcomes.

Define and document data definitions, lineage, and acceptance

criteria to ensure consistency, usability, and transparency.

Participate in agile ceremonies, including sprint planning and

backlog refinement, to support effective delivery.

Ensure data quality, integrity, and reliability through validation,

testing, and monitoring practices.

Support integration efforts across systems, ensuring accurate and

timely data flow between upstream and downstream platforms.

Track and communicate product progress, risks, dependencies, and

impacts across systems and data pipelines.

Support user acceptance testing, releases, and post launch

validation of data products and reporting outputs.

Drive continuous improvement by incorporating user feedback, data

usage insights, and performance metrics.

Ensure alignment with enterprise standards, data governance,

security, and compliance requirements.

Perform other job-related duties as assigned.

Minimum of 7 years of experience in product management, data product delivery,

business analysis, or related discipline.

Experience working with data warehouse platforms, data pipelines, and system

integrations in an enterprise environment.

Experience translating business requirements into detailed user stories, data

requirements, and acceptance criteria.

Experience working in agile environments and partnering closely with engineering, QA, and delivery teams.

Experience managing product backlogs and supporting end-to-end delivery of data or integration solutions.

Experience working with enterprise data platforms, cloud data warehouses, or modern data stack technologies.

Experience with ETL or ELT processes, data integration tools, and data transformation

Experience with data governance, data quality, and metadata or lineage practices.

Experience working across multiple systems and managing dependencies in complex data

Strong analytical and problem-solving skills, with the ability to navigate complex data and integration challenges.

Ability to translate business needs into clear, actionable requirements and

measurable outcomes.

Effective collaboration across engineering, QA, and business teams to drive aligned

What you’ll love

Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges.

Growth and Learning at Every Step: Access continuous learning through internal academies, certifications and mentorship.

Own your growth: Open access to digital learning platforms

About Capgemini

Capgemini (Footer)

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of

over 420,000 team members in more than 50 countries. We deliver end-toend services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome

and will be considered based on merit against the job and/or experience for the position.

Job Description

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Job Description - Grade Specific

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.