PwC
Full Stack Engineers - Manager
India · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPwC
- LocationIndia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Manager
Job Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Full Stack Engineers - Manager you will lead client support work in data and analytics engineering, helping design and develop data solutions that turn raw data into usable insights and support informed decision-making within our Data and Analytics Engineering practice. As a Manager you will guide teams, coach junior staff, and manage delivery across multiple workstreams while applying technology, business judgment, and a practical approach to planning, execution, and review. In this role at PwC, you will help shape full stack solutions, support exploratory and descriptive analysis, and contribute to statistical modeling and data visualization efforts that address complex business problems.
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Responsibilities
- Leading full stack engineering workstreams that apply data science, machine learning, and AI techniques to client challenges
- Managing project plans, timelines, budgets, and delivery milestones across multiple data and analytics initiatives
- Coaching team members on statistical analysis, predictive modeling, data modeling, and data pipeline development
- Reviewing technical solutions for data quality, scalability, and alignment to business requirements
- Developing and deploying analytics workflows, automation solutions, and digital tooling to support client outcomes
- Translating complex data findings into clear visualizations, insights, and recommendations for business leaders
- Guiding the use of programming languages, cloud platforms, and machine learning libraries in solution design
- Identifying delivery risks, resolving technical issues, and escalating blockers when needed
- Validating adherence to technical standards, code quality practices, and responsible AI methods
- Driving adoption of new technologies and collaborative ways of working across engagement teams
What You Must Have
- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Demonstrating full stack delivery across front-end and back-end platforms
- Leading client-facing engineering workstreams and delivery planning
- Coaching teams through code reviews and technical feedback
- Applying cloud, data, and AI tooling in production environments
- Translating business needs into scalable technical solutions
- Advanced System Architecture
- Full Stack Performance Optimization
- Microservices Design
- API Architecture
- Database Design
- CI/CD Pipeline Design
- Security Architecture
Travel Requirements
Not Specified
Job Posting End Date
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At a glance
- Employment typeFull time
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.