Pwc
Director,Agentic+GenAI,Data&Analytics,Advisory
Neural analysis suggests this role is
optimal for Director candidates.
“Director, Agentic + GenAI, Data & Analytics, Advisory at Pwc. Skills: Agentic AI, GenAI, LLM, Python, Data & Analytics. Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. Collaborate with executive leadership to align AI strategy with overall business goals. Lead architecture and hands-on development of intelligent agent frameworks. Oversee the application of LLMs”
What You'll Achieve.
Help organizations uncover enterprise insights and drive business results using smarter data analytics. Drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. Make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Industry & Context.
Algorithm Development; Complex Data Analysis; Data Analysis; Data Modeling; Analytic Research
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.
What They're Looking For.
Must Have
Advanced proficiency in Python. Extensive experience with LLM frameworks (Hugging Face, Transformers, LangChain) and prompt engineering techniques. Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation. Expertise in feature engineering, embedding optimization, and dimensionality reduction. Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing. Experience with RAG systems, vector databases, semantic search implementation and Knowledge graph. Proficiency in LLM optimization techniques including quantization and knowledge distillation. Understanding of MLOps practices for model deployment and monitoring.
Nice to Have
Experience in financial services domain will be a plus. Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. Track record of publishing or contributing to open-source AI frameworks. Understanding of regulatory, ethical, and societal implications of autonomous AI systems.
What You'll Do.
Define and execute the long-term roadmap for Agentic AI and GenAI initiatives.
Identify and prioritize opportunities where autonomous agents and generative AI can drive business value.
Collaborate with executive leadership to align AI strategy with overall business goals.
Lead architecture and hands-on development of intelligent agent frameworks.
Oversee the application of LLMs, multimodal models, and fine-tuning strategies for domain-specific use cases.
Evaluate and integrate emerging GenAI/Agentic technologies.
Build, mentor, and scale a world-class team of AI researchers, ML engineers, and product managers.
Foster a interdisciplinary culture of innovation and experimentation.
Collaborate cross-functionally with data engineering, product, legal, and design teams.
Oversee data pipelines, model training, inference infrastructure, and model governance.
Establish benchmarks and evaluation protocols for agent behavior, safety, and performance.
Ensure ethical and responsible AI development practices are followed.
How You'll Work.
Team & Collaboration
Foster a interdisciplinary culture of innovation and experimentation. Collaborate cross-functionally with data engineering, product, legal, and design teams.
Communication Scope
Communication
Full 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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. _* 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](https://www.pwc.in/about-us.html)_ . 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 Data and
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