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IN_Director_Gen AI_DA-Central_Advisory_Bangalore

Bengaluru MilleniaPosted Today
Full-timeonsite

Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Director

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.

Role Overview 

 PwC is seeking a Director – AI & Generative AI to lead the design and delivery of next-generation AI solutions that drive enterprise transformation. This role will be pivotal in shaping and scaling Generative AI, advanced analytics, and AI-led platforms across global clients, with a strong focus on value realization, responsible AI, and industrialized deployment. 

The individual will bring a balanced mix of deep technical expertise, consulting mindset, and delivery leadership, enabling organizations to unlock business value through AI-driven innovation. 

  

Responsibilities 

  •  AI / GenAI Strategy & Advisory 
    Define and execute enterprise AI and Generative AI strategies aligned to client business priorities, including roadmap development, use case identification, and value realization frameworks. 

  • Solution Architecture & Engineering Leadership 
    Lead the design of scalable, secure, and production-grade AI solutions leveraging LLMs, RAG architectures, NLP, predictive analytics, and MLOps frameworks across cloud ecosystems (AWS, Azure). 

  • Program Delivery & Governance 
    Drive end-to-end delivery of AI programs, ensuring robust governance, risk management, and alignment to enterprise architecture and compliance standards, including Responsible AI practices. 

  • GCC & Global Delivery Enablement 
    Partner with Global Capability Centers (GCCs) and captive organizations to establish AI hubs, scale delivery capabilities, and industrialize AI solution rollouts across geographies. 

  • Stakeholder Engagement & Consulting Leadership 
    Serve as a trusted advisor to senior stakeholders, translating complex AI concepts into business outcomes, and influencing transformation agendas at CXO levels. 

  • Asset & Capability Development 
    Drive the creation of reusable AI accelerators, frameworks, and IP to enhance differentiated market offerings and improve delivery efficiency. 

  • Team Leadership & Talent Development 
    Build and mentor high-performing, multidisciplinary AI teams, fostering a culture of innovation, collaboration, and continuous learning. 

  

Mandatory skill sets:

  • 10–12 years of experience in AI, Data Science, Machine Learning, or Generative AI-led transformation 

  • Strong expertise in Generative AI, LLMs, RAG, NLP, predictive analytics, and AI platform engineering 

  • Hands-on experience with cloud platforms (AWS / Azure), MLOps, and enterprise-scale AI deployments 

  • Proven track record of leading large-scale transformation programs and cross-functional teams 

  • Experience working with or enabling GCCs / captives / global delivery models preferred 

  • Strong consulting acumen, stakeholder management, and executive communication skills 

 

Preferred skill sets:

  • 10–12 years of experience in  AI, Data Science, Machine Learning, or Generative AI-led transformation 

  • Strong expertise in Generative AI, LLMs, RAG, NLP, predictive analytics, and AI platform engineering 

  • Hands-on experience with cloud platforms (AWS / Azure), MLOps, and enterprise-scale AI deployments 

  • Proven track record of leading large-scale transformation programs and cross-functional teams 

  • Experience working with or enabling GCCs / captives / global delivery models preferred  

  • Strong consulting acumen, stakeholder management, and executive communication skills 

Years of experience required:

8-15 Years

Education Qualification:

BTech/Mtech/MBA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration), 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, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 36 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

June 23, 2026

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