▷ (Apply Now) VP- Data Transformation Leader

Job Description Job description: 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. We offer: Why Join Us Accelerate Your Career Growth:Work on global, high-impact projects that expand your expertise and provide clear pathways to shape future of data engineering AI-First Mindset:Be part of cutting-edge initiatives leveraging AI/ML to solve real-world business challenges for clients worldwide People-Centric Culture:Thrive in an environment that values collaboration, mentorship, continuous learning, and employee well-being Innovation at Scale:Contribute to developing next-generation solutions, accelerators, and differentiated offerings that shape the future of data and analytics. Exposure to Advanced Technologies:Gain hands-on experience with cloud-native platforms, modern data architecture, and emerging technologies driving digital transformation