IN_Manager_Product Management_Data and Analytics_Advisory_Bangalore

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Manager

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. 

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 looking for a Data Savvy / Data Science Product Manager with a strong foundation in retail supply chain and hands-on experience in creating and working with data platforms and data science to join our team.  


The Data Science Product Manager is an important architect in establishing the direction of data-centric innovation in Product Management within them Retail Supply Chain Domain. They are essential in the design, development and optimization of data-driven solutions that satisfy customer expectations and smoothly connect with Company & Supply Chain objectives. This role sits at the intersection of product, data science, and supply chain operations.  

You will work together with engineers and other data scientists in cross-functional teams to develop and deliver data products within the Supply Chain Domain. You will be skilled in business strategy, data analytics/data science, and product management. You will put the demands of users first, support data governance and quality, set up relevant performance evaluation criteria and explain the benefits of data products to a number of stakeholders. You will lead the definition and delivery of data and AI-driven opportunities within existing products to improve inventory health, planning efficiency, and end-to-end visibility. 

 

Responsibilities:  

  

 

• Translate business problems into data product opportunities, particularly in areas like inventory optimization and supply planning. 
  

• Creating use cases for improving/optimising Retail Supply Chain using data-driven and data-intensive approaches 
  

• Partner with data engineers and analysts to identify and evaluate AI/ML use cases across the supply chain (e.g., dynamic safety stock, predictive out-of-stock detection, lead time prediction, etc). 
  

• Help define the data platform strategy in SC, define and maintain product roadmaps for internal data products (dashboards, APIs, models) that drive measurable operational improvements. 
  

• Design and own the end-to-end lifecycle of data products: problem scoping, data exploration, model integration, and business adoption. 
  

• Ensure data availability, quality, and usability by collaborating closely with data engineering and governance teams. 
  

• Develop SQL queries and basic Python notebooks to explore, validate, and prototype data insights independently. 
  

• Define metrics to track product adoption, performance, and business impact; continuously iterate based on feedback and results. 
  
  

Required Skills & Experience: 

• Aware of and embrace platform thinking to view supply chain and enterprise inventory as an outcome of ecosystem wide interactions and model product solutions that encourage modularity, reusability and facilitate information sharing. 
  

• 10+ years in product management with strong exposure to data & analytics; at least 2+ years in a retail or supply chain setting. 
  

• Experience in driving Discovery to identify problems and opportunities in Retail Supply Chain through data analysis. 
  

• Ability to express what data-led KPIs are being driven and focus the development efforts toward providing that value. 
  

• Must be aware of external trends and be able to assess if and where they fit on our product agenda or how they can drive our business forward 
  

• Working knowledge of AI/ML concepts and their applications in supply chain (no model building expected, but familiarity with pipelines and model outputs is needed). 
  

• Strong proficiency in SQL, data visualization tools (e.g., Power BI, Tableau), and comfort with Python for data exploration. 
  

• Experience working with data lakes, APIs, and event-driven architectures. 
  

• Ability to write clear Requirements and collaborate with technical teams (data engineering, data science, supply chain operations). 
  

• Familiarity with demand/supply planning systems (e.g., Blue Yonder, SAP IBP) is a plus. 
  

• Experience in building / implementing Control Towers / SC Visibility platforms 
  
  

 

Mandatory skill sets:  

Product Management, Product Strategy, Road Map

Preferred skill sets:  

E commerce, supply chain domain, AI, Data Science

Project / delivery management  

Experience with analysis in high volume data environments.  

  

Years of experience required:  

8-12

Education qualification:  


B.E, B.Tech, MCA, M.E,M.Tech, MBA

  

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Product Management Strategy

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling + 43 more

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date
July 20, 2026