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Job details
Qualification
Master's / Bachelor's
Job ID
JR00021728
Job description
POSITION SUMMARY
The Supply Planning Modeler owns the system and modelling capability across both the mid-term (S&OP) and short-term (S&OE) planning cycles. This role maintains the capacity model in SAP IBP, surfaces constraints through system-generated alerts, and builds the comparable scenarios that enable decisionmakers to evaluate alternatives with consistent assumptions. Serving the Supply planners both in the Mid-Term Plan and the Short-Term Plan, the Modeler is the SAP IBP power user who translates business judgment into system-ready models. The deliberate handoff between the Modeler and the Supply Planners separates system capability from human judgment, ensuring that planning decisions are informed by rigorous analysis while remaining grounded in business reality. As maturity evolves, this role drives digital twin development through the progression from heuristic to optimizer to AI/Joule-enabled planning. POSITION RESPONSIBILITIES
Master Data and Capacity Model Ownership: Own the capacity model and related planning master data in SAP IBP. Use the master data dashboard to identify gaps or inaccuracies in production run rates, changeover constraints, material lead times, resource calendars and other planning parameters. Coordinate corrections with the relevant supply planners and master data stewards responsible for maintaining the source data in ECC/S/4HANA.
Constraint Identification and Alert Generation: Run SAP IBP heuristics and planning algorithms to identify constraints across the supply network. Generate system alerts for capacity bottlenecks, material shortages, safety stock violations, and demand-supply imbalances.
Scenario Building: Build comparable scenarios with consistent assumptions that enable the Supply Planers in both the Mid-Term and Short-Term to evaluate alternatives. Ensure scenarios are structured, repeatable, and documented so that leadership can compare options on a level playing field.
Resolution Modelling: Execute resolution modelling in SAP S4 ePPDS and SAP IBP to test proposed solutions before they are committed. Validate feasibility of allocation changes, schedule adjustments, and capacity rebalancing options.
Digital Twin Development: Drive digital twin development as organizational maturity evolves. Progress the modelling capability through maturity stages: heuristic-based planning, optimizer-driven planning, and ultimately AI/Joule-enabled autonomous planning.
Data and Parameter Stewardship: Serve as the owner of planning parameters, ensuring that safety stock targets, lot sizes, planning horizons, and aggregation rules are correctly configured and regularly reviewed for accuracy. Ensure issues identified through modelling or business plan validation are escalated and corrected at source where required.
Key Indicators
Model accuracy (plan vs. actual alignment)
Alert quality and relevance
Scenario cycle time (time to build comparable scenarios)
Technology vendors (for digital twin and AI/Joule roadmap)
EDUCATION AND EXPERIENCE
Bachelor’s degree in supply chain management, Industrial Engineering, Data Science, Operations Research, or related field. Master’s degree preferred.
Certifications in SAP IBP, APICS (CPIM, CSCP), or advanced analytics are strongly preferred.
· 5–8 years of experience in supply chain planning with a strong focus on system modelling, advanced planning tools, and data-driven decision support within the pharmaceutical or animal health industry.
TECHNICAL SKILLS REQUIREMENTS
SAP IBP power user with deep proficiency in Response & Supply, including heuristics, key figure management, planning operators, and scenario versioning.
SAP S4 ePPDS proficiency for detailed production scheduling and resolution modelling.
Data and parameter ownership mindset with rigorous attention to master data accuracy and planning parameter governance.
Analytical rigour in scenario design, ensuring assumptions are consistent, documented, and reproducible.
Readiness to evolve through maturity stages: heuristic-based planning, optimizer-driven planning, and AI/Joule-enabled autonomous planning.
Proficiency with Microsoft Power BI for building and maintaining supply planning dashboards and analytics.
· Understanding of digital twin concepts and their application to supply chain planning.
PHYSICAL POSITION REQUIREMENTS
Location is based in Hyderabad (or designated platform location)
Travel requirement (0–10%)
COMPETENCIES List 3-5 core competencies only. Provide detail for each competency. COMPETENCY DETAIL System Mastery Deep expertise in SAP IBP and S4 ePPDS, able to translate business requirements into system-ready models and scenarios. Analytical Rigour Disciplined approach to scenario design, ensuring every alternative is built on consistent, validated assumptions. Data Stewardship Ownership mentality for master data and planning parameters, treating data quality as a prerequisite for planning quality. Technology Evolution Mindset Proactive readiness to adopt and drive new capabilities as the planning technology stack matures from heuristics to AI.
This description indicates the general nature and level of work expected. It is not designed to cover or contain a comprehensive listing of activities or responsibilities required of the incumbent. Incumbent may be asked to perform other duties as required. Additional position specific requirements/responsibilities are contained in approved training curricula.
Full time
Regular
Colleague
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