Databricks + AI - Senior manager
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 15, 2026. PwC UK scores A on the Alion truth index.
Industry/Sector
Not ApplicableSpecialism
AnalyticsManagement Level
Senior ManagerJob 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 + AI Senior Manager you will lead data engineering work focused on designing data pipelines, data integration, and data transformation solutions that help turn raw information into actionable insight within our Data and Analytics Engineering practice. As a Senior Manager you will lead large projects, bring strategic direction to complex data and AI work, and coach teams through ambiguity while using sound judgment, clear communication, and a focus on operational excellence. In this role at PwC, you will guide delivery across Databricks and AI initiatives, shape client outcomes through advanced technical skills, and contribute to data solutions that support informed decision-making and business growth.
Responsibilities
- Designing and developing Databricks-based data pipelines and transformation workflows for client data modernization initiatives
- Leading large-scale data engineering workstreams across cloud platforms to support analytics and AI use cases
- Advising clients on data architecture, data lake, and data warehouse design choices that align with business goals
- Translating complex data requirements into scalable integration, modeling, and validation solutions
- Directing technical teams through planning, delivery, and troubleshooting of data engineering platforms and workflows
- Applying knowledge of Apache Airflow, Azure Data Factory, Snowflake, AWS, and Databricks to deliver integrated data solutions
- Evaluating data quality, database performance, and query tuning opportunities to improve pipeline reliability and processing speed
- Coaching team members through delivery challenges while maintaining clear communication with client stakeholders
What You Must Have
- At least a Bachelor's degree
- At least 12 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 platform delivery in client-facing data modernization programs
- Applying AI-driven data engineering methods across large-scale transformations
- Crafting clear messages for executive and technical stakeholders
- Directing teams through ambiguity with sound judgment and composure
- Modeling coaching conversations that develop inclusive team performance
Travel Requirements
Not SpecifiedJob Posting End Date