IN_Manager_GEN AI _Data & Analytics _Advisory _Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.

In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage.

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….

Job Position Title: Manager_GEN AI _Data & Analytics _Advisory _Bangalore

Responsibilities:

• Strong understanding of Generative AI concepts including Large Language Models (LLMs), prompt engineering, fine-tuning, and model evaluation. • Proficiency in Python/PySpark for AI development, data preprocessing, and scripting. • Hands-on experience in designing and implementing GenAI applications such as chatbots, document summarization tools, code assistants, or knowledge search solutions. • Deep understanding of embedding generation, vector databases (e.g., Amazon OpenSearch, Pinecone, FAISS), and retrieval-augmented generation (RAG) pipelines. • Proficiency in Python and frameworks such as LangChain, Transformers, and PyTorch/TensorFlow. • Experience with LLM APIs (e.g., OpenAI, Anthropic, Claude, Llama, etc.) and vector databases (e.g., OpenSearch, Pinecone, FAISS). • Ability to design and deploy scalable AI pipelines leveraging cloud platforms — preferably AWS, but Azure experience is also acceptable. • Understanding of data security, access control, and cost optimization in a cloud environment. • Strong knowledge of API development, microservices, and integration of GenAI systems into enterprise applications. • Strong understanding and hands-on experience with AWS AI and ML services, including Bedrock, SageMaker, Lambda, Step Functions, API Gateway, and CloudWatch.

• Familiarity with cloud-native AI services such as AWS Bedrock, SageMaker, or Azure OpenAI.

Mandatory skill sets:

• Proficiency in developing and integrating RESTful APIs • Understanding of version control systems, such as Git. • Experience in MLOps/DevOps practices for model deployment and monitoring. • Exposure to containerization (Docker, Kubernetes) for AI workloads. • Knowledge of AI governance, ethical AI, and responsible AI frameworks. • Strong analytical and problem-solving abilities, with a focus on performance optimization

Preferred skill sets:

• Proven experience in designing and implementing Extract, Transform, Load (ETL) processes • Knowledge of data governance, ethical AI principles, and responsible AI practices. • Knowledge in AWS or Azure Data Engineering services

Years of experience required:

7 – 10 yrs

Education qualification:

Btech/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, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Coaching and Feedback, Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy {+ 22 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date