Infosys—Retail Management Consultant

Job description

Description: 1. Lead or be part of engagements to define vision and strategy for various Retail Clients including food & grocery, fashion, home and furnishing, quick service formats and that can include franchise run operations etc. The area of work could be spread across the value chain i.e. Omni-Channel, Store Back-office Operations, Supply Chain, Buying & Merchandizing, PLM, Assortment Planning, Demand & Supply planning, Pricing & Promotions, CRM & Loyalty, Store Location planning, Retail Analytics etc. 2. Work closely with clients to understand the strategy and vision and define the process blueprint or detail the requirements for subsequent realization by technology teams 3. Alternatively, scan the retail operations, identify key retail personas and come up with challenges and bottlenecks, define process blueprint, finalize TO-BE capabilities, and come up with a technology roadmap to address challenges and scale operations. 4. Research and benchmark different aspects of retail operations to suggest new innovations and best practices that helps retail brands stay ahead in the game. 5. Leverage and apply optimization techniques (analytics, AI/ML, scenario planning) to improve retail operations, measure, and report on KPIs and deliver value 6. Analyze possible process areas to identify problems/challenges, partner with technology arms of Infosys Ltd to ideate and drive Go to markets and proactively take it to clients and win deals for consulting Requirements: As an expert in one or more Retail domain areas, you would be responsible for managing and leading client projects on behalf of Infosys consulting helping them analyze various problems in the Retail domain area, define vision/strategy, possible solutions and work with the larger technology organization to drive use case realization Responsibilities: 1. Lead or be part of engagements to define vision and strategy for various Retail Clients including food & grocery, fashion, home and furnishing, quick service formats and that can include franchise run operations etc. The area of work could be spread across the value chain i.e. Omni-Channel, Store Back-office Operations, Supply Chain, Buying & Merchandizing, PLM, Assortment Planning, Demand & Supply planning, Pricing & Promotions, CRM & Loyalty, Store Location planning, Retail Analytics etc. 2. Work closely with clients to understand the strategy and vision and define the process blueprint or detail the requirements for subsequent realization by technology teams 3. Alternatively, scan the retail operations, identify key retail personas and come up with challenges and bottlenecks, define process blueprint, finalize TO-BE capabilities, and come up with a technology roadmap to address challenges and scale operations. 4. Research and benchmark different aspects of retail operations to suggest new innovations and best practices that helps retail brands stay ahead in the game. 5. Leverage and apply optimization techniques (analytics, AI/ML, scenario planning) to improve retail operations, measure, and report on KPIs and deliver value 6. Analyze possible process areas to identify problems/challenges, partner with technology arms of Infosys Ltd to ideate and drive Go to markets and proactively take it to clients and win deals for consulting Skills: 1. MBA from Tier 1 or Tier 2 B-school with minimum 5+ years of experience in Retail Industry or Bachelor of Engineering from top Universities with minimum of 7 years of experience in Retail Operations. 2. Experience in one or more of the specified areas of Retail consulting/ running business functions or equivalent experience in Brick & Mortar, Omnichannel or ecommerce in Retail space 3. Certification: Specialization in Retail Operations, Point of Sale, store back-office systems, ERP, Buying & Merchandizing or Store Management is an added advantage 5. Comfortable working with complex stakeholders set up – Business Leads, Business SME, IT Teams, Testing, Architects and Market Teams 7. Knowledge of Optimization techniques, applying AI/ML, Automation or advanced analytics for smarter operations and productivity improvements is a plus