Industry/Sector

Specialism

Management Level

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 an AI Advanced Analytics - Manager, you will lead the design and development of advanced data solutions, transforming raw data into actionable insights that drive business growth. Within our Technology Consulting practice, you will focus on leveraging advanced technologies and techniques to create robust data infrastructures and systems, enabling efficient data processing and analysis. As a Manager, you will guide and mentor teams, fostering a culture of continuous improvement and innovation. You will be responsible for strategic planning, mentoring junior staff, and managing client accounts to deliver exceptional service.

In this role at PwC Acceleration Center India, you will develop and implement data pipelines, integration, and transformation solutions. You will play a crucial role in identifying opportunities that contribute to the success of our firm, embracing technology and innovation to enhance delivery. Your leadership will inspire teams to deliver quality work, while your business acumen will help navigate complex client needs. By upholding PwC’s quality standards and values, you will contribute to the firm's broader business strategies and cultivate meaningful client relationships.

Responsibilities

- Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
- Implementing data pipelines, integration, and transformation solutions using platforms like Apache Airflow and Azure Data Factory
- Utilizing Amazon Web Services (AWS) and Snowflake Data Warehouse for scalable data solutions
- Building and optimizing databases with PostgreSQL and MySQL for enhanced performance and security
- Developing data models and dimensional modeling techniques to support data strategy and architecture
- Validating data quality and integrity through strategic questioning and analytical thinking
- Coaching and mentoring teams in agile scalability and data engineering practices
- Collaborating with stakeholders to drive product innovation and address data challenges
- Promoting the adoption of innovative technologies and leading practices in data engineering
- Confirming compliance with database security best practices and data anonymization standards

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
- Utilizing Amazon Web Services (AWS) for scalable data solutions
- Developing data architecture with Apache Hadoop and Apache Airflow
- Implementing Snowflake Data Warehouse for optimized data management
- Excelling in strategic planning and mentoring junior staff
- Leading teams in AI-driven automation and cognitive solutions
- Embracing change and innovation in technology consulting

Travel Requirements

Job Posting End Date