S/4 HANA Manufacturing Manager
About the job
- Extensive expertise leading complex SAP S/4HANA Manufacturing transformations for clients, including implementation or hands-on experience with SAP Production Planning (PP), Quality Management (QM), and Production Planning and Detailed Scheduling (PPDS).
- Advanced-level English proficiency.
- Availability to travel may be required.
- At least 10 years of SAP experience and at least 2–3 full-cycle SAP S/4HANA implementation or transformation programs involving PP, QM, and/or embedded PP/DS.
- Demonstrated experience combining hands-on SAP expertise with client-facing consulting, solutioning, team leadership, and transformation delivery.
- Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, Supply Chain Management, Operations Management, Business Administration, or a related field.
- Expertise in discrete manufacturing, integration with Product Lifecycle Management (PLM) or Manufacturing Execution Systems (MES), engineering change management for bills of materials (BOM) and routing, and a clear understanding of Material Requirements Planning (MRP) concepts.
- Experience working on integration with QM, in-process inspection, notification, first article inspection (FAI), QM certificate, and Failure Mode and Effects Analysis (FMEA)/8D defect management.
- Collaborate with high-tech manufacturing clients to assess, design, and optimize core business processes using ERP platforms, including value assessment, business case creation, and business process re-engineering.
- Lead and manage the full lifecycle of SAP PP, QM, and/or PPDS implementations, including blueprinting, design, configuration, testing, and deployment.
- Provide expert consulting and advisory services to clients on optimizing production planning, quality management, and detailed scheduling processes using SAP.
- Provide subject matter expertise on complex requests for proposals (RFPs) in high-tech production and supply chain contexts.
- Engage with clients to understand requirements and scope, discover and define solutions, articulate business benefits and use cases, and develop a roadmap to achieve objectives.
- Support business development initiatives by collaborating on proposal generation, shaping solution plans, and defining delivery approaches for SAP transformations.
- Collaborate with technical teams on custom development, integrations, and data migration activities.
- Provide post-go-live support, troubleshooting, and continuous improvement initiatives.
- Mentor and guide junior consultants, fostering a knowledge-sharing environment.
- Stay updated with the latest SAP advancements and best practices in production planning and supply chain.
- Identify and shape Generative AI and Agentic AI use cases across manufacturing, including intelligent production planning, exception management, quality insights, root-cause analysis, maintenance coordination, and autonomous workflow execution.
- Assess opportunities to use AI agents and intelligent automation to monitor manufacturing events, identify exceptions, recommend actions, and orchestrate workflows across SAP and connected systems.
- Guide clients on implementing and optimizing SAP PP, QM, and PPDS processes, grounded in best-in-class manufacturing practices.
- Design, configure, and implement SAP PP, QM, and/or PPDS solutions aligned with client needs and industry best practices.
- Analyze current business processes and identify areas for improvement.
- Provide training and support for business users.
- Contribute to thought leadership through S/4HANA and AI-enabled manufacturing white papers, case studies, and conference presentations, highlighting high-tech manufacturing innovation.
- SAP Production Planning (PP) certification is an added advantage, along with knowledge of Quality Management (QM) and Production Planning and Detailed Scheduling (PPDS).
About the company
Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dublin, Ireland
Founded
1989
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Simplify's Take
What believers are saying
- Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
- Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
- Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.
What critics are saying
- Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
- Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
- Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.
What makes Accenture unique
- Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
- Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
- Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.
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Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
401(k) Company Match
Company News
Accenture (NYSE: ACN) is betting on enterprise AI as its main growth engine. At its Investor and Analyst Day, the company targeted at least mid-single-digit constant-currency revenue growth in fiscal 2027 and 2028, rising to mid- to high-single-digit growth from fiscal 2029. Chief executive officer Julie Sweet said AI will create new demand that exceeds work lost to automation. The company has grown its AI and data workforce from 40,000 to nearly 110,000. Accenture plans to return $9.5 billion to shareholders in fiscal 2027 and spend about $5 billion on acquisitions. It expects annual operating-margin growth of 10 to 30 basis points. Its network of specialised businesses, now 6% of revenue, could double by fiscal 2029. Fiscal 2026 revenue was $74.2 billion, up 5% in local currency.
Accenture shares rose 10.4% after the company reported higher sales and earnings for its fourth quarter and full year in early October 2026. It confirmed fiscal 2027 guidance, raised its quarterly dividend to $1.71 per share, and completed a long-running share repurchase program. The company also expanded its AI alliances with Dell and Workday and acquired Sagacity. It aims to embed agentic AI into client functions such as HR, finance, and customer engagement. Accenture's narrative projects $86.3 billion in revenue and $10.3 billion in earnings by 2029, up from $8.4 billion today. Pricing pressure and slower discretionary spending remain the main risks.
Accenture will hold an Investor Day on October 14, where it is expected to detail its long-term strategy, AI monetisation plans, growth guidance, and margin expansion goals. The event follows a rebound in its shares after fears that AI would erode traditional consulting work. The stock hit a low of $118.15 in June, down from a January high of $291.09. It has since gained nearly 77%, helped by fourth-quarter results on October 1 and an expanded collaboration with Dell Technologies. Fourth-quarter revenue rose 6% to $18.7 billion, and new bookings reached $22.2 billion. Accenture expects fiscal 2027 revenue growth of 3% to 6% in local currency. It raised its quarterly dividend by 5% to $1.71 per share, payable November 13, 2026. Its market capitalisation is about $139.6 billion.
Accenture has acquired Sagacity, a London-based data and customer intelligence firm, to strengthen Accenture Song's AI-powered customer services. The deal brings more than 140 professionals to Accenture Song's UK and Ireland operations. Terms were not disclosed. Founded in 2005 by Anita Dougall, Malka Townshend, and Harry Dougall, Sagacity offers data assets, AI-enabled technology, and customer intelligence expertise. Accenture says clients want to connect data, AI, and operations into unified programmes that deliver measurable results. The move targets industries with large customer bases, such as utilities, retail, banking, and telecommunications. "Sagacity's deep expertise and outcome-focused approach will enhance our ability to help clients turn insight into action," said Sohel Aziz, senior managing director of Accenture Song, UK and Ireland.
TM Forum has launched a multi-year Trustworthy AI programme with Accenture to help telecoms deploy autonomous operations with verifiable trust standards. The initiative will deliver the industry's first Trustworthy AI Governance Certification, providing a benchmark for trusted AI deployment. Recent TM Forum research found that whilst 72% of communications service providers believe their AI capabilities are trustworthy, only 14% can verify their claims. The programme aims to transform AI trust from aspiration into measurable operational capability. The certification will help organisations assess governance maturity, workforce readiness, and operational accountability needed to scale AI autonomously. It will operate through TM Forum's AI-Native Collaboration Studios, where telecoms operators, vendors, and partners will contribute real-world use cases to shape the framework.