VP- Data Transformation Leader

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.

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