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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.*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. "
Job Description & Summary: We are seeking a highly skilled and visionary Senior Manager – Data Science & AI to lead our advanced analytics and AI/ML initiatives, including next-generation technologies like Generative AI and Agentic AI. The ideal candidate will be responsible for managing data science teams, driving innovation in machine learning model development, and operationalizing AI solutions that deliver measurable business value.
Job Description & Summary: A career within….
Responsibilities:
Design and implement end-to-end data pipelines using ADF, ADB, and Microsoft Fabric.
Develop scalable ETL/ELT processes using PySpark and Databricks Notebooks.
Integrate data from various sources including on-premise and cloud-based systems.
Optimize data workflows for performance, scalability, and reliability.
Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
Monitor, troubleshoot, and enhance existing data pipelines and workflows.
Implement data governance, security, and compliance best practices.
Work in Agile/Scrum environments and participate in sprint planning and reviews.
Mandatory skill sets:
Azure Data Factory (ADF), Azure Databricks (ADB), Microsoft Fabric (Data Engineering & Data Factory experiences), PySpark and Spark SQL, Proficiency in SQL, Python, and data modeling, Experience with Delta Lake, Lakehouse architecture, and data lakes.
Preferred skill sets:
Azure Synapse Pipelines, Azure Stream Analytics, Azure Event Hubs and IoT Hub, Microsoft Purview (governance, lineage, catalog), Familiarity with CI/CD pipelines and DevOps practices in Azure, Understanding of data security, RBAC, and data lineage. Azure certification is a plus.
Years of experience required:
8 to 15 years
Education qualification:
Graduate Engineer or Management Graduate
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Data EngineeringOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, 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 {+ 36 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
July 7, 2026From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 907 posts).
The post asks for 8–15 Yrs experience.
It is a full time job.
You apply on PricewaterhouseCoopers' website. CoreHRx takes you there after you sign in.
Interview preparation · 60 questions
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
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