Automation Lead,Global Supply Chain Finance

• 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

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

• 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