Senior SAP MM/Purchasing Consultant
About the job
- A bachelor's degree is required.
- Travel up to 50% is required.
- At least 8 years of SAP experience, including a minimum of 3 full-cycle SAP implementations covering both public and private cloud, is required.
- Deep expertise in SAP MM/Purchasing within manufacturing environments is required, including procurement processes, purchasing operations, source determination, inventory and materials management, vendor evaluation and management, goods receipt and invoice verification, subcontracting, batch management and traceability, integration with warehouse and production processes, and SAP Fiori applications.
- Expertise in configuration of MM and cross-functional design and build of other modules is required.
- Proficiency across project phases is required, from requirements gathering and gap analysis through realization, testing, go-live preparation and execution, and hyper-care support; the candidate must be able to lead sessions and create requirements for client solutions.
- Strong skill in MM master data setup, cleansing, harmonization, and migration, including LSMW and Migration Cockpit, is required.
- The candidate must be able to provide thought leadership in their domain and contribute to the ecosystem within and outside Reply.
- Act as a business consultant to help customers achieve their objectives, recognizing the importance of communication in a consultant's role.
- Solve problems using technical and functional understanding of business processes, MM principles, and SAP products.
- Support end users from a functional and/or technical perspective, working with them and the business to analyze and review business requirements or processes.
- Troubleshoot and configure SAP MM, including integration points with other modules and cross-functional design and build of other modules; work on multiple projects as a project team member or team lead.
- Lead fit/gap and other working sessions to understand needs driven by business-process requirements, and translate requirements into solutions using SAP Best Practices.
- Prepare clear and concise documentation and provide timely status updates.
- Proactively identify risks, develop mitigation strategies, assess corporate impacts of changes, and recommend strategies to senior management.
- Provide knowledge transfer to clients and fellow consultants in formal and ad hoc settings.
- Knowledge of the Internet of Things, machine learning, and big data is a plus.
- International project or SAP configuration experience in NAFTA, LATAM, and/or EMEA is preferred.
- S/4 Public and/or Private Cloud certification is preferred.
- Experience with SAP Activate methodology and SAP's fit-to-standard approach is preferred.
About the company
Reply designs and implements solutions using new communication channels and digital media, operating as a network of specialized firms that together create business models enabled by big data, cloud computing, digital media, and IoT. It provides consulting, system integration, and digital services to clients in telecom and media, industry and services, banking and insurance, and the public sector. The company helps organizations adopt digital business models by combining advisory, technology services, and implementation to design architectures, deploy IoT and digital media solutions, and integrate them with existing systems. By being a network of specialists rather than a single vendor, it offers tailored, cross-domain solutions across multiple industries to help clients create value and transform operations.
Company Size
10,001+
Company Stage
IPO
Headquarters
Turin, Italy
Founded
1996
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Simplify's Take
What believers are saying
- H1 2026 turnover reached €1,311.9 million, up 7.4%, with EBITDA €233.2 million.
- Reply's 2026 AI launches, including Model Factory and Prebuilt AI Apps, create billable demand.
- FedTec adds U.S. federal credibility, while Reply's positive cash position funds more acquisitions.
What critics are saying
- AI platform vendors like Microsoft and Mistral commoditize Reply's integration margins by 2027.
- Reply's H1 2026 net financial position fell from €467.6 million to €402.0 million.
- FedTec integration after 2026-08-11 can distract management and blunt federal growth execution.
What makes Reply unique
- Reply's network model spans 16,751 specialists across consulting, integration, and digital delivery.
- On 2026-03-18, Reply partnered with Mistral AI for sovereign enterprise AI on European infrastructure.
- On 2026-04-08, Microsoft named Reply a launch partner for Agent 365 governance.
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Benefits
Remote Work Options
Flexible Work Hours
Growth & Insights and Company News
6 month growth
0%1 year growth
0%2 year growth
0%Reply, the Turin-based consultancy, has introduced Symbiosis, an AI-driven operating model for enterprises that use generative AI and agentic systems in their operations. A supporting platform links strategy, portfolio management and execution, so companies can tie priorities and investment to measurable business outcomes. Strategic goals become "Intents": defined business problems, each with a target, owner, boundaries and timeframe. Small teams of people and AI agents, called Cells, test solutions in short cycles, and the results guide decisions to continue, redirect or stop an initiative. A shared intelligence layer, the Learning Mesh, captures knowledge from daily operations and feeds it back into strategy. Reply is applying the model in offshore energy, healthcare with an NHS Trust, and industrial machinery. The model is openly available for organisations to read, adopt and adapt.
Logistics Reply has launched the LEA AI Agent Authority Model, a framework for deploying AI agents in warehouse operations with appropriate levels of authority rather than maximum autonomy. The model combines four stages of organisational AI maturity with five authority levels: Inform, Recommend, Act, Coordinate and Governed Autonomy. To support the framework, LEA Dynamic Intelligence provides pre-built agents and an agent builder for warehouse tasks. Five new pre-built agents became available on 5 October 2026, addressing stock availability, labour distribution, inventory classification, dock scheduling and delay detection. The system enables organisations to determine suitable authority levels for AI agents based on use case, context and risk, with the ability to extend authority as operational evidence develops. Logistics Reply is a Reply group company specialising in supply chain execution and warehouse management solutions.
CEO Ramanjit Singh and the existing leadership team will continue to run FedTec.
Reply S.p.A. reported consolidated turnover of €1,311.9 million for the first half of 2026, marking a 7.4% increase compared to the same period in 2025. The Italian technology consulting firm's EBITDA reached €233.2 million, whilst EBIT stood at €189.7 million for the six-month period. The company's second quarter performance showed consolidated turnover of €667.0 million, up 8.7% year-on-year. Reply's net financial position was positive at €402.0 million as of 30 June 2026. Chairman Mario Rizzante attributed the results to growing corporate investments in AI initiatives. He noted that artificial intelligence has become integral to growth strategies, driving convergence of software, data, and domain expertise. Reply specialises in solutions based on digital media and emerging technologies, serving clients across telecommunications, industry, banking, insurance, and public sectors.
Comsysto Reply has partnered with Audi to develop an AI-based multi-agent system for the carmaker's Used Car Platform, a digital marketplace for B2B used car trading. Since 2025, the platform has accounted for nearly 100% of Audi's B2B business in this sector. The solution uses three specialised AI agents built on GitHub Copilot to handle requirements analysis, code generation, and quality assurance. The agents work with a dedicated knowledge base containing the platform's architectural decisions and specifications, enabling them to produce outputs consistent with existing systems. The system follows a human-in-the-loop model, with AI handling repetitive tasks whilst developers focus on review and validation. Comsysto Reply has supported the platform since 2021, beginning with migration from legacy systems to AWS-based architecture.