Data & AI Strategy Senior Manager

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.

**Your Role**

• 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. Ability to 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 Identifying and defining the AI Use cases in the domain of data strategy, data governance, data architecture, data quality, MDM etc. 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, labelling needs, and privacy constraints across the AI lifecycle. Conducting 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 strategydata quality, data governance, Data architecture, MDM, data privacy, security, regulations, ML Models, AI use cases etc . Drive RFI/RFP and presales engagements.

**Your Profile**

• 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. Supervised/unsupervised learning, LLMs, RAG, embeddings, Agentic AI. ML Lifecycle-Training, evaluation, deployment monitoring
• 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-Lifesciences, CPG, Banking, Insurance, supply chain, telecom, energy utilities etc. domain expertise to contextualize data models, KPIs, and AI use cases. Should be a good storyteller, presenter and capable of steering leadership communication.

**What you will love about working here**

• We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.

• At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.

• Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Location - Bengaluru,Gurugram,Hyderabad,Mumbai,Noida,Pune