Manager - Sales Planning
Mahindra & Mahindra Ltd (company site, opens in a new tab)5–7 yrsMumbaiOn-siteDirect career pageEst. 10–16 LPA
Posted on 1 Sept
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Mahindra & Mahindra Ltd
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Mahindra & Mahindra Ltd you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own demand planning, sales forecasting, inventory management, and order/billing management ensuring timely product availability and correct inventory levels.
- Drive monthly sales billing and retail volumes for high-end SUVs PAN India, including dealer target setting and performance analysis at granular levels with competition benchmarking.
- Lead coordination across Brand, Sales, Marketing, IT, and Logistics teams for new product launches, long and short-term sales planning, capacity enhancement inputs, and process improvements including digitization efforts.
Minimum Requirements
- 5 to 7 years of total experience with at least 4 years in Sales or Demand Planning.
- Experience in automotive industry preferred but not explicitly mandated.
- Knowledge of AI/Digital tools or Data Science experience is an advantage, not mandatory.
- No explicit mention of educational qualifications or notice period.
Ideal Candidate Profile
- Experienced in detailed sales and demand planning with ability to analyze regional dealer performance and competitor benchmarking.
- Capable of cross-functional coordination with manufacturing, marketing, sales, IT, and logistics to drive seamless product launches and inventory management.
- Comfortable handling complex, data-driven forecasting models, and process improvement initiatives with a focus on digitization.