SAP S/4HANA_ PP DS_ Senior Consultant_11258

Job description

Job Location: Bangalore, Chennai, Hyderabad, Noida, Pune Location Flexibility: Multiple Locations in Country Req Id: 11258 Posting Start Date: 8/17/26 At Fujitsu, we've been driven to create a sustainable world through innovation since 1935. Today, we lead in digital transformation globally with our 130,000 employees across 50+ countries. We empower our diverse community to achieve greatness through career development and opportunities. Explore our internal positions and join us in shaping a brighter future. Thank you for being a part of Fujitsu. We look forward to growing together toward a brighter future. **Job Title:** SAP S/4HANA\\_ PP DS\\_ Senior Consultant\\_11258 **Location:** Pune, Bangalore, Chennai, Noida, Hyderabad **Role Type:** Permanent **Work Mode:** Hybrid **Experience:** 8+ Years **Shift: 2 PM-11 PM** **Production Planning – Detailed Scheduling (PP-DS)** Configure and support SAP PP/DS planning processes, production scheduling, master data, integration, testing, and issue resolution. **Role Overview** Planning today is manual and spreadsheet-based, siloed across individual planners, and dependent on collating data from roughly nine systems before a plan can be produced for a single line. The target is a single, constraint-aware, plant-wide plan in SAP S/4HANA PP-DS — respecting machine, unit, tool, tool hardness, mold, active cavity count, labor, dryer availability, shift, downtime and changeover constraints — with an estimated 90% reduction in planner time from constraint input to plan output and genuine what-if capability for the first time. The assessment found most requirements met by standard; the residual scope is one bounded theme: planner-maintained flexible machine × mold × tool × cavity master data. **Key Responsibilities** Lead the PP-DS validation workshop; confirm the 30 planning requirements, close open design items and produce signed-off functional design. Own the scheduling-engine decision — heuristics versus the PP/DS Optimizer — and its consequences for changeover minimization, due-date adherence and age-based net requirements; run a proof of concept where needed. Configure PP-DS master data (PDS, resources and capacity, setup groups and matrices, product master PP-DS views) and production-planning heuristics for a 3–6 month rolling horizon. Configure finite scheduling against the full constraint set, plus order fixing and selective re-optimization so planners freeze committed shop-floor orders and re-plan only the remainder intraday. Configure the Detailed Scheduling Planning Board, product view and alert monitor, and design the planner's daily and bi-weekly operating rhythm. Design demand intake and forecast consumption including the cross-entity model where forecast originates with a parent entity while orders are placed by a subsidiary; design age-aware net requirements. Bound and specify the flexible machine/mold/tool/cavity extension — attributes, volumes, planner maintenance UI, generation program and carry-through to the planned order and traveler; recommend the on-time/delayed/shorted reporting mechanism. **■ Batch Management & Traceability Experience — Required** Batch Management and traceability experience is required at a working-design level. You will not own batch configuration — that sits with the PP/QM and IM/WM consultants — but you must design planning behavior that depends on batch and shelf-life data and hands clean, traceable context to execution: Batch and shelf-life-driven net requirements: configuring stock ageing so aged stock (over one year) remains available to netting while obsolete stock (over three years) is excluded, and confirming the selected engine's behavior. Planning-level traceability of supply source — making visible on the planned order whether a sub-assembly is produced in-house or externally procured, using multiple PDS with priority or batch-based source traceability. Carrying resolved machine, tool, hardness, mold and cavity detail from the planned order to the production order and shop-floor traveler, so the batch created in execution inherits planning context. Understanding how planning decisions constrain downstream batch behavior — lot sizing, one-lot-per-machine-per-day rules, lot number-up and cavity-level splitting — so execution can create batches cleanly. Working with the Manufacturing Execution, Quality and Inventory workstreams on a single shared lot/batch numbering and traceability model rather than a planning-only view of it. **Required Qualifications** 8+ years SAP supply chain planning consulting with 3+ full-lifecycle implementations and hands-on PP-DS configuration responsibility; at least 2 on S/4HANA embedded PP-DS (1909 or later). APO PP/DS with a proven S/4HANA transition will be considered. Deep PP-DS master-data expertise: PDS, resources and capacity, setup groups and setup matrices, product master PP-DS views, and the CIF/embedded integration model. Demonstrable hands-on experience with both PP-DS heuristics and the PP/DS Optimizer, and the judgment to recommend one over the other with reasons. Finite-scheduling design in a constraint-rich discrete environment — multiple simultaneous resource, tool and changeover constraints — including sequence-dependent setup via setup matrices. Detailed Scheduling Planning Board, alert monitor and interactive planning, including training planners to work in them. Solid PP-DS ↔ S/4HANA integration knowledge across planned orders, production orders, confirmations and goods movements; demand and forecast consumption design including multi-entity scenarios. Ability to replace an entrenched spreadsheet planning process, including the change management to bring long-tenured planners with you. **Preferred Qualifications** Bilingual English/Japanese (business level); pr