A Practice Director role in the Commercial and Solution Analytics practice is highly entrepreneurial wherein the individual is responsible for client management, project management, leading analysis and problem solving, team development, shaping new services / capabilities, and working with senior leadership and marketing to take the new capabilities to market
The role reports directly into the VP/Partner
Practice Directors should have the capability to lead teams on various initiatives or projects
They manage a team of analysts focused on a specific area (e
g
, pricing and related aspects in product engineering services) and need to be involved in all aspects of developing the capability or area
The individual should have the capability to deliver analysis and advice to blue chip clients through custom projects, client inquiry, speeches, and other deliverables
The candidate must be able to analyze, write, participate actively in the sales cycle, consult, present in front of large and small audiences, work with senior executives, develop complex and compelling scenarios, and work with clients solving strategic outsourcing issues
A significant component of work extends beyond just unit pricing analysis, to include elements such as best-in-class ongoing productivity, Return on Investment (ROI) from transformation, and solution design elements (sizing, staffing mix, shoring, etc
) Sample engagement types where the individual is likely to play a key role include (not exhaustive, the individual will focus on Engineering Services): Supporting a leading automotive client with a detailed commercial assessment of their existing engineering services contract to help them decide if they should renew with their current vendor or go to market with an RFP for a new vendor
Supporting a Tier 1 broad-based service provider (eg: Accenture, IBM, TCS, HCL, Cognizant, etc
) with solution metrics for digital twin implementation
These would typically include phase wise effort distribution, typical roles observed in such implementation, offshoring and pyramids across phases of the implementation, sensitivity impact based on factors such as number of integrations, etc

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