VP- Data Transformation Leader

You will be responsible for leading the Data Center of Excellence (CoE) and driving growth in Data Engineering & Analytics areas. Your key responsibilities will include: - Driving the growth of the Data CoE by developing capabilities and differentiators in data architecture, data engineering, data analytics, data quality, and governance. - Scaling the Data Engineering practice by establishing foundational standards, hiring top talent, and building NextGen data solutions, methodologies, and frameworks. - Defining and executing data modernization strategies to enable real-time analytics, AI/ML adoption, and enterprise-wide digital transformation. - Designing and delivering modern data platform solutions that support scalable analytics, automation, and advanced insights. - Acting as a trusted advisor to clients and internal executives, shaping data roadmaps, governance frameworks, and modernization strategies aligned with business goals. - Leading/guiding large-scale delivery programs, providing technical and strategic guidance to cross-functional teams to ensure high-quality outcomes. - Supporting business growth through active participation in opportunity development, RFP responses, solutioning, and client presentations. - Developing and positioning differentiated solutions and accelerators to enhance delivery efficiency and strengthen go-to-market offerings. - Enabling and upskilling account and delivery teams through structured enablement sessions, training programs, and knowledge-sharing initiatives. - Driving 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. - Strong hands-on experience in designing and implementing data lakes, 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. - Strong understanding of data governance, metadata management, data lineage, and master data management using tools like Collibra, Alation, Informatica. - Experience integrating data pipelines with ML Ops, feature stores, and BI/visualization tools, 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: - Bachelors or masters degree in computer science, Data Engineering, or related fields. Why Join Us Join us to accelerate your career growth, work with cutting-edge AI/ML initiatives, thrive in a people-centric culture, contribute to innovation at scale, and gain exposure to advanced technologies driving digital transformation.,