Network & Services Operations Representative

Project Role : Network & Svcs Operations Representative
Project Role Description : Configure, integrate and manage the life cycle of telecommunication network elements and associated configuration across Fulfillment and Assurance. Manage back office system data records. Support customer activations and configuration adjustments.
Must have skills : SAP Manufacturing Integration & Intelligence (MII)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an SAP MII Manufacturing Integration Engineer, you will execute configuration, build and test work to an approved design, accountable for the quality of your own deliverables for Manufacturing Execution within the Manufacturing tower of the DRS SAP programme. The role exists to connect the shop floor to SAP, where integration must remain resilient while production continues and plant connectivity is not guaranteed.
Delivery quality is personal at this level. Performance is assessed on configuration that holds under integration test, on defect recurrence, and on documentation complete enough for another engineer to assume ownership. AI-assisted engineering is expected as standard practice, with every generated output validated before transport.

Roles & Responsibilities:
Scope & Decision Rights: Execute within an approved design. You determine how a configuration item is built, tested and documented design changes, scope calls and estimates are escalated to the workstream lead.
MII Development: Build and maintain MII content: business logic services, query templates, message services, transactions and shop-floor dashboards.
Plant Connectivity: Configure Plant Connectivity and tag-level integration with control systems over OPC UA or equivalent, including buffering behaviour when connectivity drops.
ERP to Shop Floor Flow: Design and support the data exchange between ERP and the shop floor: production order download, confirmations, goods movements and status feedback, with reconciliation when messages fail.
Shop-Floor Visibility: Build dashboards and KPI and OEE reporting that plant operations use in the plant, and keep them fast enough to be trusted during a shift.
Integration & Dependencies: Work with Production Planning and Plant Operations for order and confirmation flow, with Inventory for goods movements, and with plant automation teams on the control-system side.
Delivery Execution & Quality: Deliver assigned configuration, build and test items against sprint commitments, with configuration rationale, unit test evidence and cutover steps documented to handover standard.
Defect Diagnosis & Resolution: Investigate defects and incidents affecting shop-floor integration dropping messages or confirmations failing to reach ERP during a running shift, isolating root cause across configuration, master data and interface layers and confirming resolution through regression.
AI-Assisted Engineering & Joule: Apply AI assistants to interpret integration logs and tag data, generate test messages and draft dashboard query logic, validating every generated output against system behaviour before transport. Use SAP Joule for Consultants for configuration guidance and troubleshooting, and flag manual steps in the module that are candidates for a Joule agent.
Knowledge Transfer: Document reusable configuration patterns, support analysts joining the workstream, and escalate blockers promptly.
Collaboration: Work with functional leads, test teams and downstream modules, reporting item status in terms of delivery impact.

Professional & Technical Skills:
Must-Have Skills
SAP MII: Working expertise in the MII workbench: business logic services, query templates, message services and transaction development.
Plant Connectivity & OPC: Practical experience with SAP Plant Connectivity and OPC UA or DA tag integration with control systems.
ERP Integration: Working expertise in production order, confirmation and goods movement integration between ERP and shop-floor systems.
Resilience & Buffering: Practical experience designing message buffering, retry and reconciliation for an environment where connectivity is not guaranteed.
Plant-Floor Working: Capability to work with plant operations and troubleshoot at the line as well as remotely.
AI-Assisted Delivery: Evidenced use of AI coding and analysis assistants in live SAP delivery, demonstrable through the specific outputs produced and the validation applied.
SAP Joule for Consultants: Working use of SAP Joule for Consultants in configuration and troubleshooting, including verification of the guidance returned against actual system behaviour. 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. This may be evidenced through use of AI coding or analysis assistants, or through equivalent contribution such as reusable accelerators, scripted automation of recurring delivery tasks, or codified patterns adopted by others.
Delivery Discipline: Record of meeting sprint commitments on an enterprise SAP programme, with defect and rework rates that withstood review.
Ownership & Communication: Capable of working an ambiguous defect to root cause independently and of stating clearly when a committed date is at risk.
Good to Have Skills
SAP Digital Manufacturing Cloud (DMC) and the MII migration path
SAP ME and manufacturing execution scenarios
OEE management and downtime analytics
Edge computing, IIoT platforms and OPC UA security

Additional Information:
A 15-year full-time education is required, as stated in the approved demand record.
Minimum 7.5 years of experience on the primary skill, as specified in the approved demand record.
Hands-on configuration and build experience across at least one full SAP implementation or major rollout.
Specific, evidenced examples of AI-assisted work in a production SAP delivery context.
Working proficiency in SAP Joule for Consultants, either held on appointment or achieved within 90 days of joining.


15 years full time education

About Accenture

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