Network & Svcs Operations Representative
MES MOM Senior Manager
|
Full time
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Experience: 12-14 years
Job No. ATCI-5820257-S2071664
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Bengaluru
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Required Skill: SAP Manufacturing Integration & Intelligence (MII)
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 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an SAP MII Manufacturing Integration, 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 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.
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.
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.
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 shop-floor integration dropping messages or confirmations failing to reach ERP during a running shift: 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 manufacturing integration design review, anomaly detection across plant data and reliability 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
SAP MII: Recognised design authority in the MII workbench: business logic services, query templates, message services and transaction development.
Plant Connectivity & OPC: Extensive experience with SAP Plant Connectivity and OPC UA or DA tag integration with control systems.
ERP Integration: Expert-level expertise in production order, confirmation and goods movement integration between ERP and shop-floor systems.
Resilience & Buffering: Extensive experience designing message buffering, retry and reconciliation for an environment where connectivity is not guaranteed.
Plant-Floor Working: Proven capability to work with plant operations and troubleshoot at the line as well as remotely.
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
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 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 : 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 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an SAP MII Manufacturing Integration, 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 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.
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.
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.
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 shop-floor integration dropping messages or confirmations failing to reach ERP during a running shift: 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 manufacturing integration design review, anomaly detection across plant data and reliability 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
SAP MII: Recognised design authority in the MII workbench: business logic services, query templates, message services and transaction development.
Plant Connectivity & OPC: Extensive experience with SAP Plant Connectivity and OPC UA or DA tag integration with control systems.
ERP Integration: Expert-level expertise in production order, confirmation and goods movement integration between ERP and shop-floor systems.
Resilience & Buffering: Extensive experience designing message buffering, retry and reconciliation for an environment where connectivity is not guaranteed.
Plant-Floor Working: Proven capability to work with plant operations and troubleshoot at the line as well as remotely.
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
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 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
Bengaluru
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