VP- Data Transformation Leader

Req ID: 20177_ 8753 Location : Any location across Chennai, Hyderabad, Bangalore, Noida Role Overview: We are seeking a dynamic and experienced leader for our Data CoE driving growth in Data Engineering & Analytics areas . This role combines strategic leadership, deep technical expertise, and a focus on building market differentiators . Role will be responsible for establishing and scaling the Data Engineering practice , driving the development of innovative capabilities , and contributing to high-impact client engagements, strategic proposals, and business growth initiatives . Key Responsibilities: Drive the growth of the Data Center of Excellence (CoE) by developing capabilities and differentiators across data architecture, data engineering, data analytics, data quality, and governance . Scale the Data Engineering practice by setting foundational standards, hiring top talent, and building NextGen data solutions, methodologies, and frameworks. Define and execute data modernization strategies that enable real-time analytics, AI/ML adoption, and enterprise-wide digital transformation. Design and deliver modern data platform solutions (e.g., Snowflake, Databricks, Lakehouse, Lake Formation, Microsoft Fabric) that support scalable analytics, automation, and advanced insights. Act as a trusted advisor to client and internal executives , shaping data roadmaps, governance frameworks, and modernization strategies aligned with business goals. Lead/guide to large-scale delivery programs, providing technical and strategic guidance to cross-functional teams to ensure on-time, high-quality outcomes. Support business growth through active participation in opportunity development, RFP responses, solutioning, and client presentations. Develop and position differentiated solutions and accelerators to enhance delivery efficiency and strengthen go-to-market offerings. Enable and upskill account and delivery teams through structured enablement sessions, training programs, and knowledge-sharing initiatives. Drive thought leadership and innovation by authoring whitepapers, conducting webinars, and representing the organization at global industry forums. Skills & Experience Required: 18+ years of overall IT experience, with a minimum of 5 years dedicated to data strategy, architecture, or transformation leadership in global consulting, IT services, or service integration environments, with multi-vertical exposure preferred Strong hands-on experience in in designing and implementing data lakes, lakehouses, data mesh, ETL/ELT pipelines, streaming architectures, and API-driven integrations using platforms like Databricks, Snowflake, Microsoft Fabric, Azure Synapse, BigQuery, Redshift Proven ability to lead & deliver large-scale global data transformation programs , mentor cross-functional teams, and influence key stakeholders to align on new initiatives & strategies Strong understanding of data governance , metadata management, data lineage, and master data management (MDM) using tools like Collibra, Alation, Informatica Experience integrating data pipelines with ML Ops, feature stores, and BI/visualization tools (Power BI, Tableau, Looker), supporting predictive analytics and AI-driven insights Experience in data quality frameworks, monitoring, validation, and automation to ensure accuracy, consistency, and reliability across large-scale data environments Ability to build and scale data engineering and analytics practices , develop reusable frameworks, accelerators, and differentiated solutions for clients Working knowledge of AI/ML concepts and understanding of their impact on modern data architectures and governance Strong leadership, communication, and stakeholder management skills Preferred Qualifications: Bachelor’s or master’s degree in computer science, Data Engineering, or related fields.