IN-Manager _Agentic + GenAI__Data Analytics_ Advisory_ Pune
IN-Manager _Agentic + GenAI__Data Analytics_ Advisory_ Pune
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms models and systems to enable intelligent decision-making and automation.
Why PWC
At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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 firms 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:
Strategic Leadership 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 development of intelligent agent frameworks (e.g. goal-driven tool-using agents). Oversee the application of LLMs multimodal models and fine-tuning strategies for domain-specific use cases. Evaluate and integrate emerging GenAI/Agentic technologies (e.g. AutoGPT LangChain ReAct DSPy etc.). Team Management & Collaboration Build mentor and scale a world-class team of AI researchers ML engineers and product managers. Foster a strong interdisciplinary culture of innovation and experimentation. Collaborate cross-functionally with data engineering product legal and design teams.
Mandatory skill sets:
GenAI/Agentic technologies (e.g. AutoGPT LangChain ReAct DSPy etc.).
Preferred skill sets:
Lang Experience in industries such as finance consulting Track record of publishing or contributing to open-source AI frameworks. Understanding of regulatory ethical and societal implications of autonomous AI system
Years of experience required:
7-11
Education qualification:
/ / MBA / MCA
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering Master of Business Administration Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Generative AIOptional Skills
Accepting Feedback Accepting Feedback Active Listening AI Implementation Analytical Thinking C Programming Language Coaching and Feedback Communication Complex Data Analysis Creativity Data Analysis Data Infrastructure Data Integration Data Modeling Data Pipeline Data Quality Deep Learning Embracing Change Emotional Regulation Empathy GPU Programming Inclusion Intellectual Curiosity Java (Programming Language) Learning Agility 30 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
Employment Type
Full-Time
