IN_Manager_ AI Engineer_ Data Analytics_ Advisory_ Bangalore
PricewaterhouseCoopers
- Location
- Bengaluru Millenia
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 236 approvals (FY2023)
- Posted
- Aug 21, 2026
Skills
About this role
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. * Why PWC At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: loud Storage, Cloud Pub/Sub, Cloud Composer (Apache Airflow), Dataform , GCS, and cloud functions. Implement data governance with Dataplex , security, and logging best practices to ensure compliance and data privacy. Experience with data modeling, data warehousing, and ETL/ELT processes. Build and optimize data warehouses and data lakes on BigQuery , Cloud Storage, and other GCP storage solutions. Implement data integration, ingestion, and transformation workflows to support analytics and machine learning initiatives. Collaborate with cross-functional teams to understand data requirements and deliver end-to-end data solutions. Proficiency in programming languages such as Python, Pyspark and SQL . Mandatory skill sets: Storage, Data Catalog, Cloud Composer Data Engineering & Data Architecture Data Governance Frameworks: lineage, metadata management, data quality, security controls Programming: SQL, Python and/or Java Preferred skill sets: Experience building chatbots, copilots, or AI assistants. Years of experience required: 7-12 Education Details B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Master of Engineering