VP- Data Transformation Leader

Req ID:

Location

Role Overview:

Data CoE driving growth in Data Engineering & Analytics areas

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:

AI-First Mindset:

People-Centric Culture:

Innovation at Scale:

Exposure to Advanced Technologies: