GenAI Lead - Manager

The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a GenAI Lead, you will oversee work across data engineering and AI solution delivery within our Cloud Engineering, Data & Analytics practice, bringing together data scientists, software engineers, and other specialists to develop and maintain GenAI-enabled solutions. As a Manager you will lead teams, guide junior professionals, and drive client workstreams through planning, issue analysis, and delivery oversight while applying judgment, technology, and business insight. In this role at PwC, you will contribute to data modernization efforts across full-stack AI solution design, deployment, monitoring, and ongoing improvement, helping shape practical outcomes for client-facing work.
Responsibilities
Leading GenAI data engineering workstreams across cloud-based platforms and data modernization initiatives
Managing client-facing delivery for data pipelines, data integration, and data transformation activities
Guiding teams in designing GenAI-ready data architectures, data models, and data warehouses
Supervising development of scalable solutions using Databricks, Snowflake, Azure Data Factory, and AWS services
Reviewing data quality, validation, security, anonymization, and performance tuning activities across engineering deliverables
Applying AI fluency and AI-human collaboration concepts to shape automation and analytics use cases
Coaching team members on agile delivery methods, technical problem solving, and digital tooling adoption
Identifying opportunities to improve data strategy, pipeline reliability, and platform efficiency
Supporting stakeholder discussions on delivery priorities, risks, dependencies, and implementation timelines
What You Must Have
At least a Bachelor's degree
At least 8 years of experience
Oral and written proficiency in English required
What Sets You Apart
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
Demonstrating leadership in GenAI delivery for enterprise data modernization
Applying Databricks, Snowflake, or Azure Data Factory experience
Managing data architecture, pipelines, and quality improvements
Coaching teams through agile delivery and technical problem solving
Translating AI strategy into client-ready implementation roadmaps

Work arrangement
No