Databricks & Gen AI(Banking Domain) - Manager

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

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 Databricks & Gen AI Banking Domain Manager you will lead data engineering workstreams that design and build data pipelines, data integration, and data transformation solutions for banking clients within our Advisory practice. As a Manager you will motivate and coach team members, manage performance, and guide delivery across planning, budgeting, execution, and completion while applying judgment, technology, and a clear understanding of business needs. In this role at PwC Acceleration Center India, you will help shape client-facing data solutions that turn raw data into usable insights, with a focus on Databricks and generative AI in a banking context.

Responsibilities

• - Leading data engineering workstreams focused on Databricks and generative AI solutions for banking clients
• - Managing project planning, budgeting, delivery schedules, and scope across cloud data modernization initiatives
• - Directing teams in the design and development of data pipelines, data integration, and data transformation solutions
• - Guiding the build of cloud-native data platforms using Databricks, Azure Data Factory, Snowflake, and AWS tools
• - Reviewing data architecture, modeling, and validation approaches to support scalable analytics and reliable data delivery
• - Coaching team members on technical problem solving, performance tuning, and data engineering methods
• - Applying AI fluency and AI-human collaboration methods to shape practical generative AI use cases and delivery plans
• - Monitoring data quality, security, and governance practices across platform development and migration activities
• - Identifying opportunities to modernize legacy banking data environments and improve processing efficiency
• - Addressing delivery issues, client concerns, and team conflicts with clear escalation and action plans

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 Databricks and Gen AI delivery in banking environments
• - Leading data modernization workstreams with client-facing project ownership
• - Coaching teams through cloud data engineering and analytics delivery
• - Applying Azure, AWS, or Snowflake platform experience
• - Translating business needs into data architecture and pipeline solutions

Travel Requirements

Not Specified

Job Posting End Date