Manager, Smart Pricing Data, Global Parts

2 days ago


Pune, Maharashtra, India AGCO Corporation Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Date: Sep 20, 2025

Req ID: 99887

Location:
Pune, MH, IN

Workplace Type: Hybrid/Remote

Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution Join us to make your contribution.

AGCO is looking to hire candidates for the position of Manager, Smart Pricing Data, Global Parts.

This role will be responsible for proactively identifying data gaps, analyzing and automating market trends, and supporting price decisions to maximize opportunities.

  • AI/ML Learning: leverage new and innovative solutions to automate pricing processes, data validation and price decision optimization.
  • Proactively leverage advanced analytical tools to support global pricing initiatives and opportunities bringing skills to provide best in class guidance for achieving strategic growth.
  • Competitive intelligence: analyze and disseminate information about industry, competitors and customers. Monitors competition to identify areas for improvement and differentiation. Keep track of industry trends and developments.
  • Market intelligence: Analyze and disseminate information about markets across the 4 Regions to identify opportunities.

Your Impact

  • Leverage intelligence tools and applications to analyze internal and external data sources and develop learning models providing insights to support key decision making and recommendations.
  • Proactively provide coherent recommendations from analytical models while clearly defending and explaining the data to management and other sponsors.
  • Proactively build strategies to learn competitor pricing (using as an example web scraping solutions) and distribution partners and customer behavior. Adjust strategies and modeling accordingly in close collaboration with stakeholders.
  • Support analysis of financial implications of pricing changes, including impacts on margins, revenues, and market share.
  • Proactively develop and enhance pricing analytics tools and applications to support the pricing activities and strategies globally.

Your Experience and Qualifications

  • Master's Degree in Data Science or comparable.
  • 5+ years' experience in an advanced data analytics role, preferably in aftersales parts, consulting or pricing context.
  • Proven experience developing and defending machine learning models.
  • Detailed understanding of the complexities of Modern business dynamics, preferably within a global organization.
  • Agricultural, OEM pricing and/or After Sales sector experience is a plus.

Your Benefits

  • GLOBAL DIVERSITY – Diversity means many things to us, different brands, cultures, nationalities, genders, generations – even variety in our roles. You make us unique

  • ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.

  • POSITIVE IMPACT – Make it personal and help us feed the world.

  • INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence – and work alongside teams of people worldwide who share your enthusiasm.

  • MAKE THE MOST OF YOU – Benefits include health care and wellness plans and flexible and virtual work options...

Your Workplace

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.

Join us as we bring agriculture into the future and

Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.

AGCO is proud to be an Equal Opportunity Employer.

Job Segment: Data Management, Consulting, Pricing, Database, Agricultural, Data, Technology, Operations, Agriculture


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