COE Data Transformation Leader

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
. The 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
.

• 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 Next Gen 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.

• 15+ 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, lake houses, data mesh, ETL/ELT pipelines, streaming architectures, and API‑driven integrations using platforms like Databricks, Snowflake, Microsoft Fabric, Azure Synapse, Big Query, 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
  , developing 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.