Custom Software Engineer
Packaged Application Development Senior Manager
|
Full time
|
Experience: 12-14 years
Job No. ATCI-5820286-S2071659
|
Chennai
|
Required Skill: SAP SCM APO Advanced Planning & Optimization
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 SCM APO Advanced Planning & Optimization
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an SAP PP/DS Production Planning Consultant, you will hold design authority and delivery accountability for the process area, leading multiple workstreams through their Managers while remaining personally hands-on on the hardest design and configuration for Production Planning within the Manufacturing tower of the DRS SAP programme. The role exists to own production planning and detailed scheduling, where the plan must be feasible against actual capacity rather than balanced in theory.
You carry delivery risk for the process area and are expected to enter a drifting workstream, establish an evidenced position and reset the plan. You remain hands-on: the most difficult design and configuration work is yours, as is the review gate before work leaves the process area. Quality, defect trend and release readiness sit with you, together with the AI standard and the technical development of the Managers you lead.
Roles & Responsibilities:
Scope & Decision Rights: Hold design authority for the process area and remain hands-on. The hardest design calls are taken by you personally, and you prove the pattern before the team builds to it. You approve decisions that carry downstream cost, hold the review gate on work leaving the process area, set the quality gates Managers deliver to, and own the delivery risk position reported to programme governance.
Planning Configuration: Configure PP/DS planning procedures, heuristics, planning strategies and the detailed scheduling board, and tune them to produce schedules the plant will follow.
Resource & Model Setup: Model resources, production data structures or production process models, setup matrices and campaign requirements to reflect how the plant actually runs.
Capacity & Sequencing: Configure capacity levelling, sequencing and setup optimisation, and resolve the conflicts between throughput, changeover cost and due date adherence.
Exception & Pegging Management: Set up alert monitoring, pegging and exception handling so that planners see material exceptions rather than undifferentiated alert volume.
Integration & Dependencies: Work with Planning Integration for the CIF data flow, with Plant Operations for execution feedback, with Inventory for stock and with Procurement for component supply.
Solution & Delivery Governance: Own solution design and delivery quality across the process area: set the design standards, approve decisions carrying downstream cost, and hold accountability for delivery risk, defect trend and release readiness across workstreams.
Delivery Recovery Leadership: Lead recovery of stressed workstreams, including plans that planners override manually, or scheduling runs that cannot complete inside the planning window: establish an evidenced position, re-plan, reallocate, remove the structural cause and report a defensible trajectory to programme leadership.
AI-Native Delivery Standards & Joule Governance: Define how AI is applied across the process area, including AI-assisted planning design review, plan adherence analytics and optimisation scenario modelling govern the accelerator library, set validation and IP controls, and report productivity and quality outcomes. Set the standard for SAP Joule for Consultants use and the governance of its grounding content, and decide where a Joule agent is warranted against standard configuration, holding the specification and acceptance standard with the AI and AIDLC tower.
Mentoring & Capability Building: Develop the Managers who lead the workstreams: run design reviews as teaching, pair on configuration they have not done before, and codify the resulting patterns so the capability outlives the individual. Set the technical standard across the process area and own succession for its scarce skills.
Executive & Client Engagement: Represent the process area in client leadership and programme governance forums, defend design decisions, and negotiate scope and timeline against capacity.
Professional & Technical Skills:
Must-Have Skills
PP/DS Configuration: Design authority over PP/DS planning procedures, heuristics, strategies and the detailed scheduling board, in APO or embedded in S/4HANA.
Resource & PDS/PPM Modelling: Recognised design authority in resource modelling, PDS or PPM generation, setup matrices and campaign planning.
Capacity Planning: Expert-level expertise in finite capacity planning, levelling and sequence optimisation.
Planning Data Integrity: Comprehensive command of how master and transactional data quality determines whether the plan is usable.
Planner Partnership: Proven capability to work with production planners and tune the solution until it is adopted rather than overridden.
Hands-On Technical Depth: Current, hands-on command of the primary skill. This is a working design authority role, not an oversight role: the hardest configuration in the process area is expected to be done by the post-holder.
Hands-On Currency: Hands-on configuration or design-level build work on the primary skill within the last 24 months. Advisory, pre-sales, governance or oversight-only experience during that period does not satisfy this requirement. Where recent experience is advisory, a technical validation forms part of selection.
Technical Mentoring & Capability Building: Demonstrated development of Managers and senior engineers through design review, pairing and codified patterns, evidenced by capability the team retained rather than output the individual delivered.
AI-Enabled Delivery Leadership: Demonstrated definition of AI standards across an SAP delivery team or tower, including validation controls, accelerator ownership and measured productivity outcomes.
SAP Joule for Consultants & Agent Governance: Working use of SAP Joule for Consultants and the capability to set how a team uses it, covering grounding content curation and client-confidentiality controls, together with the judgement to determine where a Joule agent is warranted against standard configuration. Equivalent experience setting AI tooling standards for a delivery team is accepted in place of prior Joule exposure, with working proficiency expected within 90 days of joining.
Evidence of AI Adoption: Demonstrable record of raising delivery productivity through AI or equivalent means: AI assistant adoption, delivery accelerators, reference architectures or codified playbooks built for reuse across teams, with measurable effect on throughput or quality.
Multi-Workstream Delivery & Recovery: Demonstrated leadership across multiple SAP workstreams, including at least one engagement behind plan or under quality pressure, with personal accountability for the recovery.
Executive Stakeholder Management: Credible in client leadership forums, with demonstrated capability to make and defend design and delivery decisions under incomplete information and commercial pressure.
Good to Have Skills
Embedded PP/DS in SAP S/4HANA and the migration path from APO
SAP IBP for response and supply
SAP Digital Manufacturing integration
Optimiser profile configuration and tuning
Additional Information:
A 15-year full-time education is required, as stated in the approved demand record.
Minimum 15 years of experience on the primary skill, as specified in the approved demand record.
Hands-on configuration or design-level build work on the primary skill within the last 24 months.
Solution and delivery leadership across multiple full lifecycle SAP programmes, including at least one recovery or high-pressure delivery situation.
Evidenced record of setting AI-enabled or equivalent delivery productivity standards for a team or tower.
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 SCM APO Advanced Planning & Optimization
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an SAP PP/DS Production Planning Consultant, you will hold design authority and delivery accountability for the process area, leading multiple workstreams through their Managers while remaining personally hands-on on the hardest design and configuration for Production Planning within the Manufacturing tower of the DRS SAP programme. The role exists to own production planning and detailed scheduling, where the plan must be feasible against actual capacity rather than balanced in theory.
You carry delivery risk for the process area and are expected to enter a drifting workstream, establish an evidenced position and reset the plan. You remain hands-on: the most difficult design and configuration work is yours, as is the review gate before work leaves the process area. Quality, defect trend and release readiness sit with you, together with the AI standard and the technical development of the Managers you lead.
Roles & Responsibilities:
Scope & Decision Rights: Hold design authority for the process area and remain hands-on. The hardest design calls are taken by you personally, and you prove the pattern before the team builds to it. You approve decisions that carry downstream cost, hold the review gate on work leaving the process area, set the quality gates Managers deliver to, and own the delivery risk position reported to programme governance.
Planning Configuration: Configure PP/DS planning procedures, heuristics, planning strategies and the detailed scheduling board, and tune them to produce schedules the plant will follow.
Resource & Model Setup: Model resources, production data structures or production process models, setup matrices and campaign requirements to reflect how the plant actually runs.
Capacity & Sequencing: Configure capacity levelling, sequencing and setup optimisation, and resolve the conflicts between throughput, changeover cost and due date adherence.
Exception & Pegging Management: Set up alert monitoring, pegging and exception handling so that planners see material exceptions rather than undifferentiated alert volume.
Integration & Dependencies: Work with Planning Integration for the CIF data flow, with Plant Operations for execution feedback, with Inventory for stock and with Procurement for component supply.
Solution & Delivery Governance: Own solution design and delivery quality across the process area: set the design standards, approve decisions carrying downstream cost, and hold accountability for delivery risk, defect trend and release readiness across workstreams.
Delivery Recovery Leadership: Lead recovery of stressed workstreams, including plans that planners override manually, or scheduling runs that cannot complete inside the planning window: establish an evidenced position, re-plan, reallocate, remove the structural cause and report a defensible trajectory to programme leadership.
AI-Native Delivery Standards & Joule Governance: Define how AI is applied across the process area, including AI-assisted planning design review, plan adherence analytics and optimisation scenario modelling govern the accelerator library, set validation and IP controls, and report productivity and quality outcomes. Set the standard for SAP Joule for Consultants use and the governance of its grounding content, and decide where a Joule agent is warranted against standard configuration, holding the specification and acceptance standard with the AI and AIDLC tower.
Mentoring & Capability Building: Develop the Managers who lead the workstreams: run design reviews as teaching, pair on configuration they have not done before, and codify the resulting patterns so the capability outlives the individual. Set the technical standard across the process area and own succession for its scarce skills.
Executive & Client Engagement: Represent the process area in client leadership and programme governance forums, defend design decisions, and negotiate scope and timeline against capacity.
Professional & Technical Skills:
Must-Have Skills
PP/DS Configuration: Design authority over PP/DS planning procedures, heuristics, strategies and the detailed scheduling board, in APO or embedded in S/4HANA.
Resource & PDS/PPM Modelling: Recognised design authority in resource modelling, PDS or PPM generation, setup matrices and campaign planning.
Capacity Planning: Expert-level expertise in finite capacity planning, levelling and sequence optimisation.
Planning Data Integrity: Comprehensive command of how master and transactional data quality determines whether the plan is usable.
Planner Partnership: Proven capability to work with production planners and tune the solution until it is adopted rather than overridden.
Hands-On Technical Depth: Current, hands-on command of the primary skill. This is a working design authority role, not an oversight role: the hardest configuration in the process area is expected to be done by the post-holder.
Hands-On Currency: Hands-on configuration or design-level build work on the primary skill within the last 24 months. Advisory, pre-sales, governance or oversight-only experience during that period does not satisfy this requirement. Where recent experience is advisory, a technical validation forms part of selection.
Technical Mentoring & Capability Building: Demonstrated development of Managers and senior engineers through design review, pairing and codified patterns, evidenced by capability the team retained rather than output the individual delivered.
AI-Enabled Delivery Leadership: Demonstrated definition of AI standards across an SAP delivery team or tower, including validation controls, accelerator ownership and measured productivity outcomes.
SAP Joule for Consultants & Agent Governance: Working use of SAP Joule for Consultants and the capability to set how a team uses it, covering grounding content curation and client-confidentiality controls, together with the judgement to determine where a Joule agent is warranted against standard configuration. Equivalent experience setting AI tooling standards for a delivery team is accepted in place of prior Joule exposure, with working proficiency expected within 90 days of joining.
Evidence of AI Adoption: Demonstrable record of raising delivery productivity through AI or equivalent means: AI assistant adoption, delivery accelerators, reference architectures or codified playbooks built for reuse across teams, with measurable effect on throughput or quality.
Multi-Workstream Delivery & Recovery: Demonstrated leadership across multiple SAP workstreams, including at least one engagement behind plan or under quality pressure, with personal accountability for the recovery.
Executive Stakeholder Management: Credible in client leadership forums, with demonstrated capability to make and defend design and delivery decisions under incomplete information and commercial pressure.
Good to Have Skills
Embedded PP/DS in SAP S/4HANA and the migration path from APO
SAP IBP for response and supply
SAP Digital Manufacturing integration
Optimiser profile configuration and tuning
Additional Information:
A 15-year full-time education is required, as stated in the approved demand record.
Minimum 15 years of experience on the primary skill, as specified in the approved demand record.
Hands-on configuration or design-level build work on the primary skill within the last 24 months.
Solution and delivery leadership across multiple full lifecycle SAP programmes, including at least one recovery or high-pressure delivery situation.
Evidenced record of setting AI-enabled or equivalent delivery productivity standards for a team or tower.
15 years full time education
Chennai
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