Automation Lead,Global Supply Chain Finance

Job Description

Job Description Lead automation initiatives in Raw Material team Understand the databases available in Raw material space and identify potential opportunities to Simplify the process and make it more efficient and effective Identify clawback opportunities from suppliers Improve Forecasting Develop Business plan Perform Data Mining of huge data ? redefine the Volume, Velocity, Variety, Veracity and Value of the data attributes in such a way that enables management to take quick decisions Use Predictive analytics, Statistical techniques, Machine Learning algorithms and historical data to project forecast of Raw material cost, claims and Indices in future Identify cost opportunities from suppliers using relevant techniques to analyse the existing data from various sources, understand the patterns, outliers, issues etc Streamline workflows, automate repetitive tasks using UIPath or any other relevant automation techniques to improve operational efficiency Automate Audit process using GenAI, NLP and any other relevant techniques so that the manual intervention is reduced to minimal Explore feasibility of Virtual assistant to handle queries and provide solutions across various aspects of Raw materials Enhance the existing E2E claim process tools (Powerapps, Powerautomate) Create comprehensive, real time dashboards across various parameters for better decision making Train the team on automation tools and techniques Responsibilities Lead automation initiatives in Raw Material team Understand the databases available in Raw material space and identify potential opportunities to Simplify the process and make it more efficient and effective Identify clawback opportunities from suppliers Improve Forecasting Develop Business plan Perform Data Mining of huge data ? redefine the Volume, Velocity, Variety, Veracity and Value of the data attributes in such a way that enables management to take quick decisions Use Predictive analytics, Statistical techniques, Machine Learning algorithms and historical data to project forecast of Raw material cost, claims and Indices in future Identify cost opportunities from suppliers using relevant techniques to analyse the existing data from various sources, understand the patterns, outliers, issues etc Streamline workflows, automate repetitive tasks using UIPath or any other relevant automation techniques to improve operational efficiency Automate Audit process using GenAI, NLP and any other relevant techniques so that the manual intervention is reduced to minimal Explore feasibility of Virtual assistant to handle queries and provide solutions across various aspects of Raw materials Enhance the existing E2E claim process tools (Powerapps, Powerautomate) Create comprehensive, real time dashboards across various parameters for better decision making Train the team on automation tools and techniques Qualifications REQUIRED SKILLS Strong knowledge in Automation Tools and Techniques incl but not restricted to ML, Gen AI, SQL, Python, Google cloud, UIPath etc Ability to partner and collaborate effectively with Cross functional Operations while possessing an inquisitive mindset Knowledge in Purchasing systems is preferable Should be keen to understand the business process and systems, so that they can generate ideas for process efficiencies, cost opportunities etc