Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : SAP Product Lifecycle Management
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an SAP Logistics Master Data Consultant, you will own a module workstream end to end, from design decisions through to cutover, leading a small team while remaining hands-on for Master Data (logistics objects) within the Supply chain & logistics tower of the DRS SAP programme. The role exists to own warehouse, inventory and transportation master data: the objects determining whether a bin is usable, a batch is traceable and a lane is plannable.
You carry the workstream delivery commitment: defensible estimates, early disclosure of risk, and diagnosis to root cause rather than escalation. You are expected to make AI a measurable productivity lever for your team, governed by a defined validation standard.

Roles & Responsibilities:
Scope & Decision Rights: Own the module design. You determine configuration approach, estimates and sequencing for the workstream and approve the deliverables of the engineers you lead cross-module design changes are agreed with the process area lead.
Warehouse Master Data: Own storage bin structures, bin sorting, packaging specifications, handling unit types and the resource and queue master that drives EWM execution.
Inventory & Batch Data: Own batch and serial number master data, valuation-relevant attributes and special stock master data, including the traceability requirements in scope.
Transportation Master Data: Own locations, transportation lanes, zones, means of transport, and the freight agreement and rate table data that drives planning and settlement.
Migration & Conversion: Model the migration objects for these data in the S/4HANA Migration Cockpit, define extraction, cleansing and transformation rules, run mock conversion cycles and drive defect closure between them.
Reconciliation & Cutover: Own reconciliation between legacy and target for these objects and their place in the cutover sequence, including the fallback position if a load fails during the live run.
Governance & Duplicate Control: Define the creation and extension process, duplicate prevention, mass maintenance approach and the quality measures that keep these objects usable after go-live.
Integration & Dependencies: Serve the EWM, Inventory Management and Transportation Management workstreams in this tower. Material Master is owned by the Procurement tower and Customer Master by Finance this role owns the logistics-side attributes and migration objects.
Workstream Delivery Ownership: Estimate, sequence and deliver the module workstream against milestones, enforcing the quality gates for configuration, specifications, test evidence and defect containment.
Issue Diagnosis & Corrective Action: Lead resolution where warehouse or transportation failures traced back to bin, packaging, batch or lane master data places a milestone at risk: diagnose across configuration, data and integration layers, evaluate options against time and risk, and drive the agreed course to closure.
AI-Enabled Delivery & Joule Agent Specification: Build and maintain the reusable prompt and accelerator set for master data quality analysis, bin and lane anomaly detection and load failure pattern analysis, define the validation standard applied within the team, and evidence the effort saved. Use SAP Joule for Consultants as standard practice and curate its grounding content for this module. Identify Joule agent use cases, write the specification and supply the process context the AI and AIDLC tower builds, and you validate the result against the business outcome.
Team Leadership & Mentoring: Lead a small delivery team, allocate work to capability, review deliverables before release, and develop engineers in both module depth and delivery discipline.
Stakeholder Management: Lead requirement and design workshops with business process owners, present options, impacts and risks in business terms, and defend scope where change threatens the committed date.

Professional & Technical Skills:
Must-Have Skills
Logistics Master Data: Deep hands-on expertise with warehouse, inventory and transportation master data objects in S/4HANA, EWM or TM.
Batch & Serial Management: Strong expertise in batch and serial number master data and the traceability it supports.
Logistics Process Knowledge: Strong working knowledge of how master data attributes drive putaway, picking, planning and freight settlement behaviour.
S/4HANA Migration Cockpit: Deep hands-on expertise with the Migration Cockpit and migration object modeller, including custom objects and staging table approaches.
ETL & Data Quality: Demonstrated experience with extraction and transformation tooling such as SAP Data Services, and with enforcing data quality rules rather than loading whatever arrives.
Reconciliation Discipline: Demonstrated experience designing reconciliation that proves data landed correctly, not just that the load reported success.
Hands-On Currency: Current and continuous hands-on configuration work on the primary skill, with no sustained break from build activity in the last 18 months.
AI-Enabled Delivery: Demonstrated use of AI to raise workstream throughput through prompt sets, accelerators or analysis routines adopted by others, governed by a defined validation standard.
SAP Joule for Consultants & Agent Specification: Working use of SAP Joule for Consultants, including grounding it in client-specific content, together with the capability to identify Joule agent use cases in the module and specify them for a dedicated AI capability to build. Where prior Joule exposure is absent, working proficiency is expected within 90 days of joining.
Evidence of AI Adoption: Demonstrable adoption of AI in delivery work, evidenced through AI assistant use, reusable accelerators, automation of recurring delivery tasks or codified playbooks adopted by others, together with the judgement to verify generated output before it is acted on.
Workstream Management: Demonstrated end-to-end ownership of an SAP module workstream: estimation, milestone commitment, defect management, integration test and cutover.
Team Leadership: Demonstrated leadership of a small delivery team and direct ownership of business stakeholder relationships, including contested scope discussions.
Good to Have Skills
SAP Master Data Governance (MDG)
SAP Advanced Data Migration by Syniti
SAP BusinessObjects Data Services
Custom migration object development under Clean Core principles
EWM-specific master data conversion and bin structure loading

Additional Information:
A 15-year full-time education is required, consistent with every other demand record on this programme. No demand record exists for this position.
Minimum 12 years of experience on the primary skill, as specified in the approved demand record.
Hands-on configuration work on the primary skill current at the point of application.
Workstream ownership across at least two full lifecycle SAP implementations or large rollouts.
Evidenced examples of AI-assisted delivery methods adopted by other members of the team.


15 years full time education

About Accenture

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