Supply Planning Modeler

Zoetis; Hyderabad; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Zoetis seeks a Supply Planning Modeler to own SAP IBP capacity models and master data, driving scenario-based decisions for mid- and short-term planning. You will translate business judgments into robust, repeatable models and support digital twin evolution from heuristic to AI-enabled planning.

The role requires strong analytical rigor, data governance, and collaboration with Supply Planners, site teams, and external partners. Hyderabad-based, full-time position with global impact.

Qualifications

• 5–8 years of experience in supply chain planning with system modelling.
• Strong focus on advanced planning tools and data-driven decision support.
• Certifications in SAP IBP, APICS CPIM or CSCP preferred.

Responsibilities

• Own capacity model and planning master data in SAP IBP.
• Identify constraints and generate system alerts.
• Build comparable scenarios for mid- and short-term planning.
• Perform resolution modelling in SAP S4 ePPDS and SAP IBP.

Skills

SAP IBP

S4 ePPDS

Power BI

AI planning

Education

Bachelor's degree in supply chain management, Industrial Engineering, Data Science, Operations Research, or related field

Master's degree preferred

SAP IBP, APICS CPIM/CSCP certifications

Tools

SAP IBP

SAP S4 ePPDS

Power BI

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) Master data accuracy and completeness Parameter review adherence (on-time review cycles) Planning system uptime and reliability

Organizational Relationships

• Internal: Reporting to System & Process Lead - Interacts primarily with: Supply Planners (provides scenarios and constraint analysis by Product Group) Supply Planners / Site production planner (provides alerts and short-term modelling by Site Group) Platform and Site Supply Planning teams Technology & Digital (SAP IBP configuration and enhancements) Demand Planning team (demand signal inputs and statistical forecast integration) Manufacturing and External Supply (capacity and material data validation) Supply Planning CoE (standard methodologies, parameter governance)
• External: SAP consultants and implementation partners Technology vendors (for digital twin and AI/Joule roadmap)

Physical Position Requirements

Location is based in Hyderabad (or designated platform location) Travel requirement (0–10%)

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.

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.

Full time Regular Colleague

Full time Regular Colleague

Company Culture

Join Zoetis – and build your career with a global animal health company dedicated to supporting its customers and their businesses.

Why Zoetis Zoetis has more than 60 years of experience in delivering innovative, high-quality products and services that benefit our customers.

Zoetis work environment At Zoetis, we take pride in a collaborative spirit and high-performing environment where every colleague is given room to learn and grow.

Your opportunities at Zoetis We invest in our people and offer diverse and exciting opportunities to make a difference in a growing global industry while shaping the future of animal health.

Results that matter Our colleagues make an impact by working hand-in-hand with those who raise and care for animals to better understand and address the unique real-world challenges they face.