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.)