Ford Motor

Automation Lead - Supply Chain Finance

Ford Motor
Chennai
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 5 yearsMin. 5 years

Job Description

Automation Lead

  • 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

  • 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

Experience Level

Senior Level

Job role

Work location
Work locationChennai, Tamil Nadu, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 5 years

About company

Name
NameFord Motor
Job posted by Ford Motor

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You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

The candidate should have completed the required education and people who have 5 to 31 years are eligible to apply for this job. You can apply for more jobs in Chennai to get hired quickly.

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