VP- Data Transformation Leader

Job Description

As a dynamic and experienced leader for the Data Center of Excellence (CoE), your role will involve driving growth in Data Engineering & Analytics areas. You will combine strategic leadership, deep technical expertise, and a focus on building market differentiators. Your responsibilities include:- 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 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.To be successful in this role, you should have:- 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 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:- Bachelors or masters degree in computer science, Data Engineering, or related fields.Join us to accelerate your career growth, be part of cutting-edge initiatives, thrive in a people-centric culture, contribute to innovation at scale, and gain exposure to advanced technologies. As a dynamic and experienced leader for the Data Center of Excellence (CoE), your role will involve driving growth in Data Engineering & Analytics areas. You will combine strategic leadership, deep technical expertise, and a focus on building market differentiators. Your responsibilities include:- 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 large-scale delivery programs, providing

Keyskills :
Data architectureSnowflakeData governanceMetadata managementInformaticaPower BITableauPredictive analyticsStakeholder managementData strategyData transformation leadershipData lakesLakehousesETLELT pipelinesStreaming architecturesAPIdriven