Data Strategy Lead

Role Overview: As a Director Data Strategy Lead at Capgemini Invent India's Enterprise Data Analytics (EDA) team, you will spearhead the Data Strategy capability. Your role involves shaping, selling, and delivering strategic data consulting engagements that drive business transformation through data. A visionary leader with expertise in data strategy, architecture frameworks, cloud modernization, and AI, along with strong customer-facing and storytelling abilities is essential for this position. Key Responsibilities: - Lead strategic conversations with CXOs and senior stakeholders, positioning Capgemini Invent's data strategy offerings. - Define and execute enterprise-wide data strategies aligned with business goals, leveraging frameworks like TOGAF, Zachman, and DAMA. - Act as a trusted advisor to clients on data modernization, Data Quality, governance, MDM, and AI-driven transformation. - Build and lead a high-performing data strategy team, fostering consulting excellence and continuous learning. - Mentor and develop talent across data architecture, governance, and analytics domains. - Architect and deliver scalable data solutions including Data Lakes, Data Mesh, and Cloud-native platforms. - Drive cloud data modernization initiatives across AWS, Azure, and GCP, integrating AI/ML capabilities. - Oversee large-scale data programs using agile methodologies, ensuring quality and business impact. - Identify and win new data strategy engagements across key industry verticals. - Develop reusable data assets and frameworks to enable asset-based consulting and delivery. - Represent Capgemini Invent at industry forums, contributing to thought leadership in data strategy and AI. Qualifications Required: - Bachelors/masters in computer science, Engineering, or related field. - 16+ years of experience in data consulting, strategy, and enterprise architecture. - Deep understanding of data architecture frameworks (TOGAF, Zachman), data governance (DAMA). - Proficiency in at least 2 cloud technologies AWS, Azure, GCP, with extensive experience deploying AI-driven solutions at scale. - Awareness of AI Governance, latest Data & AI trends. - Hands-on experience in creating data warehouses, Data lakes, ETL/ELT, Data pipelines, and reporting/analytic tools and environment. - Good knowledge in the Gen AI area and how data can support the advent of GenAI. - Proven experience in cloud data modernization, AI/ML integration, and GenAI readiness. - Hands-on expertise in building data warehouses, lakes, pipelines, and analytics environments. - Strong storytelling and interpersonal skills with a customer-first mindset. - Demonstrated success in one or more industries such as Life Sciences, Consumer Products & Retail (CPR), Automotive, or Manufacturing.,