Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Manager
& 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.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
*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. "
& Summary:
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisationsin order tokeep 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:
Experience –12+Years
Lead design and deployment of GenAI and Agentic AI solutions across industries
Architect modular, scalable AI systems using LLMs, autonomous agents, and orchestration frameworks
Translate business problems into AI use cases and technical blueprints
Collaborate with engineering, product, and business teams to deliver AI-powered solutions
Drive client workshops,PoCs, and strategic roadmaps for AI transformation
Ensure ethical AI practices, governance, and compliance across deployments
Mentor teams transitioning from classical data science to GenAI paradigms
Contribute to thought leadership, IP development, and practice growth
Ways to Stand Out
Thought leadership in GenAI and autonomous systems
Ability to simplify complex AI constructs for business users
Experience driving AI transformation across industries
Strong problem-solving and analytical mindset
Comfortable working under tight timelines and managing multiple stakeholders
Mandatory skill sets:
Deep expertise inGenerative AI ,Agentic AI , andLLM orchestration
Hands-on experience withLangChain ,LlamaIndex ,OpenAI ,Anthropic , or similar platforms
Strong foundation inPython ,ML Ops ,vector databases , andembedding models
Experience withcloud-native AI stacks (Azure AI, GCP Vertex AI, AWS Bedrock)
Proven ability to leadclient-facing engagements and translate business needs into AI solutions
Familiarity withretrieval-augmented generation (RAG) ,autonomous agents , andtool use chaining
Preferred skill sets:
Prior experience inData Engineering orclassical ML/DS
Certifications in GenAI platforms or cloud AI services
Exposure toAI product development ,agentic workflows , ormulti-agent systems
Strong communication and stakeholder management skills
Experience inproposal development ,IP creation , andpractice building
Years of experience required:
12+years relevant experiencewith at least 3–5 years in GenAI/Agentic AI and client-facing role
Education qualification:
BE,B.Tech, ME,M,Tech, MBA, MCA (60% above)
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor DegreeDegrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Snowflake GenAI
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 35 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
January 20, 2026
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.
PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
