Custom Software Engineer
Packaged Application Development Senior Manager
|
Full time
|
Experience: 12-14 years
Job No. ATCI-5819341-S2071672
|
Chennai
|
Required Skill: SAP Master Data Migration
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 Master Data Migration
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an SAP Data Migration & Conversion Lead, 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 Data Migration & Conversion within the Procurement tower of the DRS SAP programme. The role exists to own data migration and conversion, the workstream that determines the critical path to go-live.
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.
You lead through technical development is your responsibility, hold the client leadership relationship for the process area, and remain close enough to the detail to test the evidence behind a status report.
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.
Migration Design & Object Modelling: Design the migration approach and model migration objects in the SAP S/4HANA Migration Cockpit, including staging table or file strategy and object sequencing.
Extraction, Cleansing & Transformation: Define extraction from legacy sources, cleansing rules and transformation logic, and hold the line on data quality criteria rather than loading whatever arrives.
Mock Conversion Cycles: Plan and run mock conversion cycles, measure load runtimes and error rates, drive defect closure between cycles, and build the evidence that the real cutover will fit the window.
Reconciliation & Cutover: Own reconciliation between legacy and target, the cutover sequence and timings, and the fallback position if a load fails during the live run.
Integration & Dependencies: Work with every functional tower whose objects are in scope, and with Basis for system sizing, runtime and transport coordination during cutover.
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 mock conversion cycles missing their window or reconciliation failing late in the cutover plan: 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 data quality assessment, migration risk detection across objects and cutover readiness analysis 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
S/4HANA Migration Cockpit: Design authority and deep expertise with the Migration Cockpit and migration object modeller, including custom object creation and staging table approaches.
ETL & Data Quality: Extensive experience with extraction and transformation tooling such as SAP Data Services, and with defining and enforcing data quality rules.
Mock Cycle Delivery: Extensive experience running multiple mock conversion cycles under programme time pressure, with measurable improvement between cycles.
Reconciliation Discipline: Extensive experience designing reconciliation that proves the data landed correctly, not just that the load reported success.
Cutover Execution: Leadership of a live cutover with responsibility for a data workstream, including the decision points when something fails.
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.
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
SAP Advanced Data Migration by Syniti
SAP Master Data Governance (MDG)
SAP BusinessObjects Data Services
Custom migration object development under Clean Core principles
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 Master Data Migration
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an SAP Data Migration & Conversion Lead, 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 Data Migration & Conversion within the Procurement tower of the DRS SAP programme. The role exists to own data migration and conversion, the workstream that determines the critical path to go-live.
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.
You lead through technical development is your responsibility, hold the client leadership relationship for the process area, and remain close enough to the detail to test the evidence behind a status report.
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.
Migration Design & Object Modelling: Design the migration approach and model migration objects in the SAP S/4HANA Migration Cockpit, including staging table or file strategy and object sequencing.
Extraction, Cleansing & Transformation: Define extraction from legacy sources, cleansing rules and transformation logic, and hold the line on data quality criteria rather than loading whatever arrives.
Mock Conversion Cycles: Plan and run mock conversion cycles, measure load runtimes and error rates, drive defect closure between cycles, and build the evidence that the real cutover will fit the window.
Reconciliation & Cutover: Own reconciliation between legacy and target, the cutover sequence and timings, and the fallback position if a load fails during the live run.
Integration & Dependencies: Work with every functional tower whose objects are in scope, and with Basis for system sizing, runtime and transport coordination during cutover.
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 mock conversion cycles missing their window or reconciliation failing late in the cutover plan: 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 data quality assessment, migration risk detection across objects and cutover readiness analysis 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
S/4HANA Migration Cockpit: Design authority and deep expertise with the Migration Cockpit and migration object modeller, including custom object creation and staging table approaches.
ETL & Data Quality: Extensive experience with extraction and transformation tooling such as SAP Data Services, and with defining and enforcing data quality rules.
Mock Cycle Delivery: Extensive experience running multiple mock conversion cycles under programme time pressure, with measurable improvement between cycles.
Reconciliation Discipline: Extensive experience designing reconciliation that proves the data landed correctly, not just that the load reported success.
Cutover Execution: Leadership of a live cutover with responsibility for a data workstream, including the decision points when something fails.
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.
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
SAP Advanced Data Migration by Syniti
SAP Master Data Governance (MDG)
SAP BusinessObjects Data Services
Custom migration object development under Clean Core principles
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
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.
We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately.