▷ (High Salary) 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 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