Vice President- Data and AI Central Leader
Genpact
APAC/Oceania, India, Hyderabad
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Salary
Rank
VP
Responsibility
Design/Transform
Scope
Global
Workplace
100% in office
Functions
IT
Reports to
Level
N-2
Travel Max:
0%
Posting Date
01-09-2026
Description
Inviting applications for the role of VicePresident– Data EnginerDatabricks, Azure Data Factory
In this role,weare seeking a Data and AI Central Leaderto manage enterprise data platforms and governance capabilities within the Global Enterprise CTO organization. In this role, you will lead a team of managers and senior individual contributors responsible for delivering scalable, high-quality data products and services that enable analytics and AI across the company. You will operate in a federated shared services model, partnering with business-unit data & analytics teams to ensure enterprise-wide consistency in data availability, quality, and governance.
Key Responsibilities
- Lead the design, build, and operation of data platforms that support global analytics, insights, and AI.
- Partner with federated business-unit teams to ensure end-to-end data quality—from ingestion through transformation to distribution.
- Establish and evolve enterprise-wide data governance practices, ensuring security, compliance, and stewardship.
- Continuously modernize data platforms, adopting best practices for scalability, performance, and cost efficiency.
- Hire, mentor, and grow a team that combines engineering depth with strong leadership capability.
- Influence senior stakeholders to align on enterprise data standards and adopt shared data services.
Qualification & Requirements
Minimum
- Experience in data engineering, analytics, or data governance, with valid experience onmanaging engineers and/or managers.
- Proven ability to deliver enterprise-scale data platform & engineering solutions in complex, global cloud environments.
- Strong understanding of data ingestion, modeling, governance, and distribution at scale in cloud native environment.
- Experience working in federated organizations, balancing central platform services with business-unit needs.
- Excellent leadership, communication, and stakeholder management skills.
Preferred
- Experience with commercial/syndicated datasets (e.g., point-of-sale, Nielsen, IRI).
- Exposure to AI/ML platforms in Hyperscalerssuch as Azure, GCP, AW) and building data pipelines that support advanced analytics (Databricks, Snowflake, Power BI etc)
- Track record of modernizing legacy systems and migrating to modern cloud-based or hybrid architectures.
- Master’s degree in computer science, Engineering, or related field.
Benefits
No information available.
Company Profile
Genpact
Industry
IT Services & Consulting
Revenue
$4.59B
Employees
118,900
Fortune 500 Rank
NA
Global 500 Rank
NA
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