Role Description At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. - Conduct comprehensive current state analysis of existing data systems, processes, and frameworks of an organization. - Prioritize Data and AI investments based on value, feasibility, risk, domain and BU needs. - Define the vision for AI-driven data capabilities; align them with enterprise strategy. - Advise C-suite and business leaders on AI adoption, risks and mitigation. - Measure impact using both model performance and business value metrics, ensuring AI initiatives deliver ROI. - Identify and define the AI Use cases in the domain of data strategy, data governance, data architecture, data quality, MDM etc. - Conduct market, competitive, and trend analysis to inform strategic decisions. - Drive Data Maturity/AI Maturity assessments. - Drive CXO conversations effectively. - Convert business objectives into data requirements, ML problem definitions, and measurable success metrics (precision/recall, business KPIs). - Identify required training datasets, data quality thresholds, labeling needs, and privacy constraints across the AI lifecycle. - Conduct stakeholder workshops (Risk, Legal, Compliance, Product, Tech). - Lead and facilitate engagements in data governance, establishing policies, procedures, and frameworks to ensure metadata, master data, data quality, security, and compliance. - Drive the foundational pillars of AI data strategy—data quality, data governance, Data architecture, MDM, data privacy, security, regulations, ML Models, AI use cases etc. - Drive RFI/RFP and presales engagements. - Lead and contribute to offerings development, provide thought leadership. - Utilize industry contextual knowledge to derive domain specific use cases for analytics or AI/ML applications. - Ensure AI experiences integrate seamlessly with semantic models, data Lakehouse architectures, and enterprise ingestion/curation frameworks, AI Architecture, metadata systems. - Embed governance, privacy, ethical guardrails, and explainability into AI workflows. - Define Governance and Privacy frameworks for AI workloads. - Guide best practices on data privacy, contracts, and controls. - Own overall coordination with business and delivery stakeholders from a functional perspective. - Manage and mentor a team of consultants and execute people management activities. Qualifications - Bachelor’s degree in computer science, Information Technology, or any related field. - Preferred MBA from a tier 1 and tier 2 college. - Proven experience in advisory and consultancy roles focused on Data and AI strategy. - At least 1 end to end consulting engagement experience. - Proficiency in cloud technologies, particularly GCP, Azure, and AWS, with relevant certifications preferred. - Understanding of Data Catalogue tools like Alation, Collibra, Unity Catalog etc. - Understanding and experience of working on Data Quality and DQ dimensions, metrics, tools (IDQ, Ataccama etc.). - Strong understanding of data governance, domain models, and modern data architectures (Fabric, Azure, data mesh, Purview etc.), AI Architecture, GenAI Tools, GenAI Tech stack (Azure, AWS, GCP, Databricks etc). - Experience working with AI/ML teams and familiarity with tools (e.g., Python basics, prompt engineering, model evaluation). - Knowledge of ML lifecycle, model metrics, data pipelines, and Gen AI patterns. - Strong knowledge of DAMA, DCAM and TOGAF frameworks and principles. Certifications preferred. - Understanding of data regulations like EU AI Act, NIST AI RMF, GDPR, CCPA, and sector-specific laws (HIPAA, DPDP Act in India). - Responsible AI Frameworks from Big Tech (Google, Microsoft etc.), ISO standards related to AI (e.g. ISO 42001 for AI Management systems). - Domain expertise in Lifesciences, CPG, Banking, Insurance, supply chain, telecom, energy utilities etc. - Should be a good storyteller, presenter and capable of steering leadership communication. Benefits - Flexible work arrangements to provide support, including remote work and flexible work hours. - Career growth programs and diverse professions crafted to support exploration of a world of opportunities. - Valuable certifications in the latest technologies such as Generative AI. Company Description 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.