Enterprise Client Partner

As Enterprise Client Partner – Data and Analytics Consulting, you will work on offering solutions to clients related to latest application of AI/Analytics/Data to solve complex business problems and demonstrate significant business value to various clients. In doing so, you will closely collaborate with a team of consultants, data scientists, and data engineers.  

You will lead client relationships, manage revenue, work towards growth of the account and articulate the value delivered. On a typical workday, you could be doing one or more of the following: 

• Manage client relationship across one or more clients. 
• Focus on offering more solutions and growing the client account, with strong focus on revenue management. 
• Participate in client workshops to identify high impact problems that could be solved through AI/Analytics/Data based solutions. 
• Translate business problems (sometimes ambiguous) into clear Analytic/Data problem statements.  
• Work closely with delivery teams to design the analytics/data solutions. 
• Demonstrate expertise in techno-functional consulting & stakeholder management capabilities.  
• Perform a role that involves a combination of hands-on contribution, consumer engagement and team management.  
• Articulate how analytic results improve clients’ business and financial metrics. 
• Contribute to organization building through sharing best practices and the latest industry trends.  

What is expected? 

• Experience in stakeholder management, driving project governance and linking analytics to business value delivered. 
• Experience of Business Development and pitching solutions to large clients. Active Account mapping and up/cross sell across assigned accounts in order win new business.  
• Experience of growing client accounts and managing client across various levels 
• Knowledge of DS/ML/AI techniques – when and why they are used and interpretation of results from business viewpoint.  
• In depth understanding of how analytics is used in decision making in one or more industries (Pharma/Retail/CPG) / functional areas (Supply Chain). 
• Ability to translate a high-level business problem into an analytic problem statement.  
• Experience in scoping, development, validation and deployment of explanatory, predictive and prescriptive analytics solutions.  
• Knowledge of advanced analytics tools such as R and/ or Python. 
• Experience in analyzing and visualizing data using tools such as Tableau, Power BI, QlikView.  
• Excellent presentation and communication skills 
• 10+ years of relevant experience (preferably Supply Chain Domain in Pharma, Retail, CPG etc.)