AI Evaluation Specialist

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 Analyst at Capgemini , you will play a key role in supporting Product Leads and cross-functional teams across Data Engineering, Campaign Technology, Data Science, and Marketing Technology initiatives. You will help transform business objectives into actionable product requirements while ensuring alignment across stakeholders, delivery teams, and strategic priorities. In this role, you will combine business analysis, Agile delivery support, backlog management, and stakeholder engagement to drive successful product outcomes. You will be responsible for facilitating communication between business and technical teams, maintaining delivery visibility, and supporting continuous improvement across product development processes. Responsibilities & Scope Product Analysis & Requirements Management Elicit, analyze, and document business objectives, user needs, operational processes, business rules, data requirements, constraints, and expected outcomes. Translate business requirements into: Epics Features User Stories Acceptance Criteria Process Flows Functional Documentation Ensure requirements are clear, testable, measurable, and aligned with business goals. Maintain traceability between business objectives, requirements, and delivered solutions. Backlog & Agile Delivery Support Manage and maintain backlog readiness within Jira. Support backlog prioritization, refinement, sprint planning, and release planning activities. Ensure delivery teams have sufficient clarity to execute effectively. Facilitate Agile ceremonies including: Backlog Refinement Sprint Planning Sprint Reviews Retrospectives Stakeholder Workshops Help drive continuous delivery and product maturity across workstreams. Stakeholder Collaboration Act as a liaison between Product Leads, Engineering, QA, Analytics, Campaign Operations, Data Science, and Business teams. Facilitate discussions that drive alignment, decision-making, and issue resolution. Gather feedback from stakeholders and ensure it is reflected appropriately within product roadmaps and requirements. Communicate technical and business information clearly to diverse audiences. Delivery Governance & Reporting Monitor dependencies, risks, decisions, action items, and delivery milestones across multiple teams. Prepare status reports, KPI dashboards, roadmap summaries, and leadership updates. Support release readiness activities including stakeholder communications, acceptance reviews, and post-release follow-up. Ensure transparency across product delivery efforts and maintain governance artifacts. Process Improvement & Product Operations Analyze delivery and operational metrics to identify bottlenecks, risks, and improvement opportunities. Maintain documentation including: Product Specifications Process Maps Business Rules Data Definitions Decision Logs Support standardization of product management and delivery practices across multiple teams and initiatives. Contribute to process optimization and operational excellence programs. AI-Enabled Product Analysis Utilize approved AI tools to support: Requirements generation and refinement Meeting synthesis Documentation improvement Gap analysis Backlog optimization Reporting automation Apply responsible AI practices while validating outputs and maintaining data integrity. Your Profile Business-minded problem solver – Able to translate complex business challenges into structured product requirements. Analytical thinker – Uses data and insights to support decision-making and continuous improvement. Strong communicator – Builds alignment across technical and non-technical stakeholders. Organized and detail-oriented – Excels at managing priorities, requirements, and delivery tracking. Collaborative team player – Thrives in Agile and cross-functional environments. Continuous learner – Open to innovation, feedback, and emerging technologies, including AI-driven capabilities. Qualifications & Preferred Skills Required Qualifications Bachelor's Degree in Computer Science, Engineering, Information Systems, Analytics, Business Administration, Marketing Technology, or a related field. 3-6+ years of experience in: Product Analysis Business Analysis Agile Product Delivery Technology Programs Data & Analytics Initiatives Marketing Technology Projects Required Skills Requirements Analysis & Product Management Experience gathering, documenting, and validating business and functional requirements. Strong experience creating user stories, acceptance criteria, process documentation, and functional specifications. Ability to translate business objectives into actionable delivery plans. Agile Delivery & Backlog Management Experience supporting Agile product teams. Strong understanding of: Scrum Agile methodologies Backlog management Sprint planning Product delivery lifecycle Experience maintaining actionable and prioritized backlogs. Stakeholder Management & Facilitation Strong facilitation and communication skills. Experience leading workshops, requirement sessions, and stakeholder discussions. Ability to bridge communication between business and technical teams. Tools & Reporting Hands-on experience with: Jira Confluence Experience creating dashboards, status reports, KPIs, and leadership presentations. Strong organizational and documentation skills. Delivery Governance Experience identifying and managing: Dependencies Risks Decisions Action Items Delivery Milestones Ability to drive transparency and accountability across delivery teams. AI-Assisted Analysis Understanding of AI-enabled productivity tools and their application in requirements analysis, documentation, reporting, and process improvement. Ability to validate AI-generated outputs and apply responsible AI practices. Preferred Skills Experience within: Marketing Technology (MarTech) Campaign Technology Customer Data Platforms (CDP) Digital Marketing Ecosystems Product analytics experience. Process mapping and business workflow analysis. Familiarity with: Snowflake Data Engineering concepts Data Science programs Salesforce Marketing Cloud (SFMC) Experience supporting globally distributed teams and enterprise-scale delivery programs. Knowledge of customer engagement and data-driven product environments. What You'll Love Opportunity to work at the intersection of Product Management, Data, Analytics, and Marketing Technology. Exposure to enterprise-scale digital transformation initiatives. Collaboration with global Product, Engineering, Analytics, and Business teams. Access to certifications, learning programs, mentorship, and professional development opportunities. Innovative and collaborative work environment focused on continuous improvement. Career growth opportunities within Capgemini's Digital, Data, and Product Management practices. Need to Know Career Development in Spanish & English: Access to certifications, product management training, Agile academies, mentorship programs, and continuous learning opportunities. Community Engagement: Participate in innovation challenges, product communities, knowledge-sharing sessions, volunteering programs, and networking initiatives 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 capabilities in strategy and design, engineering, AI, generative AI, cloud, data, customer experience, 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.