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 As a Product Lead – Data Products & Integrations at Capgemini, you will be responsible for driving the successful delivery of enterprise data products, data warehouse solutions, and system integrations that support reporting, analytics, operational processes, and business decision-making. You will work closely with Product Managers, Data Engineers, Architects, QA teams, and Business Stakeholders to translate strategic roadmaps into actionable requirements, maintain delivery momentum, and ensure data solutions are scalable, reliable, and aligned with enterprise governance standards. This role requires a combination of product leadership, business analysis, data knowledge, stakeholder management, and Agile delivery expertise. Responsibilities & Scope Product Strategy Execution Translate product strategies and roadmaps into detailed delivery plans, features, user stories, and acceptance criteria. Define data product requirements, including data models, transformations, integrations, and reporting needs. Ensure product delivery aligns with business objectives and stakeholder expectations. Partner with Product Managers to support product planning and roadmap execution. Backlog Management & Agile Delivery Own and manage product backlogs across data products, data pipelines, and integration initiatives. Prioritize work based on business value, dependencies, technical requirements, and delivery timelines. Facilitate Agile ceremonies, including: Sprint Planning Backlog Refinement Sprint Reviews Retrospectives Ensure teams have clear requirements and acceptance criteria to support efficient delivery. Stakeholder Collaboration Collaborate with business stakeholders to gather requirements, define KPIs, and validate solutions. Facilitate alignment between business teams and technical delivery organizations. Manage communications related to delivery progress, risks, dependencies, and milestones. Serve as a trusted advisor for data product and integration initiatives. Data Products & Integration Management Support the delivery of enterprise data products, reporting solutions, and integration capabilities. Coordinate activities across upstream and downstream systems to ensure reliable data movement and consistency. Define and document: Data Definitions Business Rules Acceptance Criteria Data Lineage Data Flows Monitor delivery outcomes to ensure data products meet quality and usability expectations.



Data Quality & Governance Promote data quality, consistency, integrity, and reliability across delivered solutions. Support validation, testing, monitoring, and quality assurance activities. Ensure compliance with enterprise governance, security, privacy, and regulatory standards. Collaborate with governance teams to maintain trusted and well-documented data assets. Release & Continuous Improvement Support User Acceptance Testing (UAT), release activities, deployment validation, and post-release monitoring. Track adoption, business value, operational performance, and customer feedback. Identify opportunities to improve product delivery processes, data quality, and user experience. Drive continuous improvement initiatives using operational metrics and stakeholder feedback.

Your Profile
Product-oriented leader – Passionate about delivering high-value data products and business outcomes. Strategic thinker – Able to connect business objectives with technical solutions. Data-driven professional – Understands how data enables reporting, analytics, and operational excellence. Problem solver – Skilled at navigating complex environments and removing delivery obstacles. Collaborative communicator – Works effectively across technical and non-technical teams. Results-focused professional – Committed to quality, accountability, and continuous improvement. Qualifications & Preferred Skills Required Qualifications Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Administration, Analytics, Data Management, or a related field. Minimum 7 years of experience in: Product Management Product Ownership Business Analysis Data Product Delivery Data & Analytics Programs Technology Delivery Required Skills Product & Agile Delivery Experience translating business needs into: Features User Stories Acceptance Criteria Functional Requirements Strong backlog management and prioritization experience. Experience working within Agile delivery environments. Ability to coordinate delivery across multiple teams and stakeholders. Data Products & Data Platforms Experience with: Data Warehouses Data Pipelines Enterprise Data Platforms Data Integration Solutions Understanding of data product lifecycle management. Experience supporting reporting and analytics platforms. Stakeholder Management Strong requirements gathering and facilitation skills.



Ability to bridge communication between business and technical teams. Experience managing complex dependencies and cross-functional initiatives. Data Governance & Quality Understanding of: Data Governance Data Quality Data Lineage Metadata Management Security & Compliance Principles Experience defining business data standards and acceptance criteria. Delivery Governance Experience tracking: Risks Dependencies Milestones Release Readiness Delivery Metrics Strong organizational and execution skills. Preferred Skills Experience working with: Snowflake Databricks BigQuery Azure Data Platforms AWS Data Services Knowledge of ETL/ELT frameworks and modern data architectures. Experience with data transformation and integration technologies. Familiarity with data cataloging, metadata management, and lineage solutions. Experience supporting enterprise-scale digital transformation programs. Exposure to Data Mesh, Data Products, or modern data operating models. What You'll Love Opportunity to lead strategic Data & Analytics initiatives for general organizations. Exposure to modern Data Platforms, Cloud Technologies, and enterprise integration programs. Collaboration with Data Engineers, Architects, Product Managers, and Business Leaders worldwide. Access to certifications, learning programs, mentorship, and career development opportunities. A collaborative and innovative work environment focused on growth and continuous improvement. Well-being programs designed to support your professional and personal success. Need to Know Career Development in Spanish & English: Access to certifications, mentoring programs, Agile training, product management learning paths, and continuous professional development opportunities. Community Engagement: Participate in innovation programs, product communities, knowledge-sharing events, volunteering initiatives, and networking opportunities across Capgemini. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse organization with more than 340,000 team members in over 50 countries. With a strong heritage of more than 55 years, Capgemini helps clients unlock the value of technology through end-to-end services and solutions leveraging strengths from strategy and design to engineering, cloud, data, AI, generative AI, and digital transformation. At Capgemini Mexico, we are committed to fostering a diverse and inclusive workplace where everyone has equal opportunities. We welcome applications from all qualified candidates and evaluate them based on merit, skills, qualifications, and experience relevant to the role.

📌 Product Lead (México)
🏢 Capgemini
📍 México