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Data Modernization - Director

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Onsite

Data Modernization - Director

Pwc

Data Modernization - Director

Skills

Data EngineeringSnowflakeDatabricksData AnalysisAWSBusiness DevelopmentWorkdayHadoopComplianceAzure

3 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

21 August 2026

What they need


Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Director

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 Data Modernization - Director, you will lead the charge in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory - Other practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. As a Director, you will set the strategic direction and lead business development efforts. You will make impactful decisions and oversee multiple projects, maintaining executive-level client relations. Translating the vision, you set the tone and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders.

In this role at PwC Acceleration Center India, you will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are all foundational to our success. You will create a healthy working environment while maximizing client satisfaction. You will cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.

Responsibilities

  • Leading the design and development of data infrastructure and systems to facilitate efficient data processing and analysis
  • Overseeing the implementation of data pipelines, integration, and transformation solutions to support business growth
  • Utilizing advanced technologies such as Apache Hadoop, Azure Data Factory, and Databricks to enhance data engineering capabilities
  • Driving innovation by promoting the use of cloud-based platforms like Amazon Web Services (AWS) and Snowflake
  • Mentoring and guiding teams in strategic planning and execution of data-driven initiatives
  • Building and maintaining relationships with clients to identify and address data challenges
  • Developing scalable data architecture and modeling solutions to optimize data utilization
  • Confirming data integrity, security, and compliance within analytics frameworks
  • Identifying market opportunities and converting them into successful data solutions for clients
  • Cultivating a collaborative environment where people and technology thrive together

What You Must Have

  • At least a Bachelor's degree
  • At least 15+ 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
  • Leading strategic initiatives in data modernization and analytics
  • Driving business growth through innovative data solutions
  • Mentoring teams in data engineering and analytics platforms
  • Promoting technological advances in data infrastructure
  • Utilizing cloud platforms like AWS and Azure for data solutions
  • Developing data architecture and optimization strategies

Travel Requirements

Not Specified

Job Posting End Date

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