Manager - Pricing US

1 week ago


Mumbai, Maharashtra, India KPMG Global Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Manager (Pricing, Strategy)

About us 

The position in discussion is with the Deal Advisory team at KPMG Global Services (KGS), which is KPMG's global delivery centre and is an integral part of the firm's strategy to enhance innovation, build scalability, and improve profitability, globally.

KGS' Deal Advisory Group is a team of 1500+ professionals, majority based in Gurgaon.

KGS DA has been providing solutions to KPMG member firms globally. Leveraging insights and applying best practices, the team helps create customized approaches to M&A transactions. The team's capabilities include Corporate Finance, Transaction Services, Strategy, Business Modeling, Accounting Advisory Services, Deal Advisory Research and Benchmarking

About the team

The Strategy team works with C-level Executives to identify, structure and solve their most critical strategic issues across the economic and transaction cycles. As part of a fast-paced and dynamic group, our consultants offer strategic advice on financial, business and operating models to corporate, public sector and private equity clients. 

KGS Strategy team in India is organized by sectoral and functional capabilities to provide practical and actionable recommendations that can be delivered by the client in a cost-effective manner, both in a deal and non-deal environment. Key member firms with which KGS Strategy team works include KPMG UK and KPMG US.

About the role

Within the Strategy team we have an established Pricing strategy practice, serving number of sectors including retail, consumer goods, healthcare, pharmaceuticals, transport and industrial manufacturing sectors serving US, and other international clients. We work with C-level executives to identify, structure and solve their most critical strategic issues related to deal strategy, and growth strategy. 

KPMG's Pricing strategy practice is a specialised team focussed on solving pricing and revenue optimisation problems for its clients using data and analytics techniques to deliver a sustainable solution which can deliver both short- and long-term margin improvements. As a team, we are a group of bright committed individuals who are passionate about delivering fantastic client work, solving complex data related problems, investing our time in acquiring new analytical skills, and having fun both inside and outside of work.

Responsibilities:

We are recruiting for a Manager with Pricing / Data Analytics experience. The role is currently part of KPMG's Pricing Strategy team based in India that works closely with KPMG US and includes following core responsibilities:

  • Working collaboratively with client staff and management, often working in joint teams at client sites, in the development and delivery of pricing solutions/ recommendations
  • Understand client system and data structures and designing and executing data intensive analysis to support development of evidence-based insights
  • Experience in leading a project team of 3-4 pricing professionals, setting clear goals, providing guidance and direction, and fostering collaboration and teamwork
  • Ability to develop and maintain strong relationships with clients, stakeholders, and cross-functional teams to drive pricing initiatives and ensure successful implementation 
  • Managing engagement work-streams and analysis, including defining deliverables, setting timelines, and develop high quality output, taking responsibility for teams when required
  • Implementation of solutions/tools in client environment and train client to implement new approach and appropriate tools
  • Planning and undertaking primary and secondary research to develop insights for clients
  • Developing business cases and business plans underpinned by robust analysis in support of strategic initiatives
  • Contributing to the delivery and presentation of client deliverables.
  • Being involved in business development activity, showing initiative in building relationships with clients during engagements and while at client site
  • Team management and performance management for 4-5 members across levels
  • Drive the team commercial goals to achieve target hours and penetration working the onshore stakeholders
  • Develop and maintain right team culture by bridging the gap between Senior Management and Junior Team members
  • Contributing to thought leadership and knowledge management to support practice development

Required qualifications:

  • Education/professional qualifications: MBAs/ B. tech/ B.E. from a leading Indian/International educational institution
  • Extensive professional experience (minimum of 6-8 years) in strategy or analytics roles, acquired from corporate positions, analytic boutique firms, or strategic consulting firms
  • Minimum of 3 years of specific experience in pricing strategy and revenue optimization, handling complex pricing problems and developing effective strategies

Required key Skills:

  • Experience in business research and data analytics with strong understanding of databases and data manipulation (Data cleansing, aggregation and summary)
  • Experience using economic modelling and analysis by using tools such as Alteryx, PowerBi, Tableau, Python, SQL, etc.
  • Proven ability to identify complex pricing problems, develop innovative solutions, and implement effective pricing strategies to drive business growth and profitability
  • In-depth understanding of pricing methodologies, including value-based pricing, cost-based pricing, competitive pricing, dynamic pricing, and pricing optimization.
  • Good to have hands-on experience in developing Python codes (using IDEs like Spyder, Jupyter, etc.) and working with python libraries Pandas, Numpy, Scipy etc.
  • Understanding of machine learning techniques and practical experience of applying these techniques for commercial solving purposes
  • Experience in designing/implementing machine learning models for pricing applications including but not limited to price elasticity models, Forecasting, customer segmentation, linear regression, logistic regression, random forest etc.
  • Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance
  • Existing knowledge and/or ability to learn new data management tools and implement in live projects 
  • Strong numerical, analytical and strategic thinking skills - able to demonstrate how one supports the other - and sound commercial acumen 
  • Ability to drive through to an outcome in circumstances of complexity and ambiguity 
  • Flexibility to adapt to a variety of different engagement types, working hours and work environments and locations 
  • Strong verbal and written communication skills to effectively present insights and recommendations to clients and stakeholders


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