Databricks + AI - Manager

PwC

Bengaluru

On-site

INR 2,500,000 - 3,600,000

Full time

6 days ago
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Job summary

PwC in Bengaluru, India, invites applications for a Databricks AI Manager to lead data engineering and AI-enabled analytics initiatives for client programs. You will shape data pipelines, manage delivery across multiple workstreams, and mentor teammates to deliver high-quality insights.

Ideal candidates have a Bachelor's degree, 8+ years of experience, and strong English communication. You will collaborate with global teams and help clients turn data into strategic decisions using Databricks,

Qualifications

  • Bachelor’s degree required.
  • 8+ years of experience.
  • Proficiency in English (spoken and written).

Responsibilities

  • Lead data engineering workstreams for Databricks and AI-enabled solutions.
  • Manage project planning, budgeting, timelines, and delivery across data infra.
  • Guide teams in developing data pipelines, data lakes, and data warehouses.
  • Review architecture, data modeling, and transformation approaches.
  • Apply AI fluency to automation, orchestration, and analytics delivery.
  • Coach team members and mentor junior staff.
  • Identify data quality, performance, and database optimization opportunities in cloud environments.
  • Address delivery issues and stakeholder concerns with clear communication.

Skills

Databricks platform delivery
AI fluency
Data engineering
Mentoring junior team members

Education

Bachelor's degree

Tools

Databricks
Snowflake
Azure

Job description

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 AI Manager you will lead data engineering work that turns raw information into usable data products and analytics capabilities for clients, with a focus on data pipelines, integration, transformation, and AI‑enabled solutions within our Data and Analytics Engineering practice. As a Manager you will coach teams, guide day‑to‑day delivery across multiple workstreams, and use sound judgment to solve complex issues while driving consistent timelines, quality, and client service. In this role at PwC, you will bring structure to Databricks‑enabled delivery, support stakeholder conversations, mentor junior team members, and contribute to work that helps clients use data to make informed business decisions.

Responsibilities
  • Leading data engineering workstreams that design and build Databricks and AI‑enabled solutions for client initiatives
  • Managing project planning, budgeting, timelines, and delivery across data infrastructure, integration, and transformation efforts
  • Guiding teams in developing data pipelines, data lakes, and data warehouses that support scalable analytics use cases
  • Reviewing architecture, data modeling, and transformation approaches to validate alignment with client requirements and technical objectives
  • Applying AI fluency and data engineering skills to shape automation, workflow orchestration, and advanced analytics delivery
  • Coaching team members, leveraging individual strengths, and promoting skill growth through feedback and review of work
  • Identifying data quality, performance tuning, and database optimization opportunities across cloud‑based environments such as Databricks, Snowflake, and Azure
  • Addressing delivery issues, technical risks, and stakeholder concerns while maintaining clear communication across client engagements
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 platform delivery across data modernization projects
  • Applying AI fluency in data engineering solutions and workflows
  • Leading client‑facing technical workstreams and mentoring junior team members
  • Translating complex system interactions into clear delivery plans
  • Managing project planning, budgeting, execution, and timelines
  • Upholding technical standards while addressing delivery issues
Travel Requirements

Not Specified

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