R&D Process Transformation Consultant - Digital Engineering
About the job
- A Bachelor's or Master's degree in Business Administration or a related field is required for the data transformation and analytics section.
- At least 5 years of experience in digital consulting, product development and design consulting, product management, technical program management, product and IT cost optimization, technology consulting, or product data-related consulting roles is required for the data transformation and analytics section.
- A Bachelor's degree in Information Systems, Computer Science, Engineering, Business, or a related discipline is required for the artwork and labeling section.
- Three to six years of experience in IT consulting, business analysis, digital transformation, or system implementation roles is required for the artwork and labeling section.
- Experience working on cross-functional technology or process improvement projects is required for the artwork and labeling section.
- Experience with enterprise platforms, including ERP, PLM, workflow tools, cloud systems, or automation solutions, is required for the artwork and labeling section.
- Bachelor's degree in information technology, Computer Science, Business Administration, or a related field is required for the master data governance section.
- At least 5 years of SAP functional experience, including at least 3 years in SAP MDG, preferably MDG-BP, is required.
- Strong understanding of SAP Business Partner concepts and integration with Customer (KNA1) and Vendor (LFA1) objects is required.
- Hands-on experience in MDG data modeling and governance framework, BRF+, DRF, workflow design and configuration, and data replication and integration between MDG and SAP/non-SAP systems is required.
- Familiarity with S/4HANA MDG and Central Governance versus Consolidation scenarios is required.
- At least 7 years of experience is required for the product lifecycle management section.
- Knowledge of SAP Product Lifecycle Management modules, including Specification Management, Recipe Development, Labeling, Document Management (DMS), Bill of Materials (BOM), and Engineering Change Management (ECM), is required.
- Experience integrating SAP PLM with other SAP modules such as MM, PP, and QM, and third-party systems including CAD tools such as SAP ECTR, is required.
- Knowledge of IDoc, BAPI, BAdI, workflows, and WWI reports is required.
- Sound knowledge of overall Product Lifecycle Management processes is required.
- At least 5 years of total experience is required for the product compliance section.
- Implementation experience on multiple mid-to-large-scale projects involving multiple systems in HSE/Product Compliance areas such as SVT, DG, SDS, GLM, Chemical Risk Assessment, and Chemical Approval is required.
- Knowledge of SAP HSE/Product Compliance modules and capabilities across multiple industries, and a thorough understanding of HSE/Product Compliance processes, is required.
- In-depth experience in SAP HSE/Product Compliance modules such as SDS and Label Management, Dangerous Goods, Chemical Compliance (SVT, SVHC), and Marketability is required.
- Functional experience in an Engineering Division, Product Development, New Product Launch, R&D Prototyping, or Innovation Management in Discrete/Process Industry is required.
- Lead workshops to define product taxonomy, data models, attribute frameworks, hierarchies, and workflows.
- Translate AI capabilities into business value, define transformation roadmaps, and manage delivery of AI-powered solutions across industries.
- Design solutions and advise on PIM strategies.
- Collaborate with stakeholders to collect pain points through interviews and user discussions and formulate business requirements focused on PIM capabilities.
- Use PIM tool knowledge about out-of-the-box functionality versus customization to drive advisory and implementation client engagements.
- Connect business stakeholders, project managers, and functional/technical consultants on data modeling, data migration, process redesign, and integration.
- Support client selection of software and implementation vendors.
- Analyze legacy architecture to assess migration requirements and identify potential challenges.
- Review data models and recommend future-state models based on best practices.
- Analyze business processes, identify opportunities for harmonization and simplification, and define future process workflows.
- Support end-to-end data migration by analyzing, preparing, extracting, transforming, validating, and loading data.
- Support clients in defining business rules to automate attribute definitions.
- Develop and execute functional test plans, including user acceptance testing, to validate functional and process accuracy.
- Create process, workflow, and best-practice documentation.
- Advise clients on AI strategy, identify high-impact use cases, and build adoption roadmaps.
- Manage end-to-end agile delivery of AI solutions, translating business needs into products.
- Bridge business stakeholders and technical teams to ensure AI solutions meet strategic goals.
- Drive change management to support user adoption of AI tools and a culture of innovation.
- Perform functional consulting in advisory and implementation projects focused on data migration and data quality.
- Connect business stakeholders, project managers, and functional/technical consultants on data migration and data quality.
- Assess technical landscapes, source systems, applications, and technical artifacts, and recommend data migration and data quality improvement strategies.
- Develop and document migration rules, create user test cases for migration test runs, and test rules during migration runs.
- Collect and formulate business requirements through interviews and user discussions.
- Support business users with data analysis and preparation, extraction, transformation, migration validation, and target-system verification.
- Analyze legacy systems and current data structures to assess migration requirements and identify potential challenges.
- Define data quality standards, validation rules, and governance frameworks to ensure post-migration data integrity.
- Design and implement data transformation rules and execute migration strategies, including ETL, validation, and reconciliation.
- Collaborate with clients and stakeholders to collect and document business requirements for data transformation and migration projects.
- Analyze business processes, identify improvement areas, and define data-related process workflows.
- Develop functional specifications aligned with technical solutions and provide clear requirements to technical teams.
- Serve as the primary contact among clients, business units, and technical teams to maintain alignment and clarity.
- Develop and execute functional test plans, including user acceptance testing, to validate data accuracy and process functionality.
- Provide end-user training and create documentation for processes, workflows, and best practices.
- Advise clients on AI strategy, identify high-impact use cases, and build adoption roadmaps.
- Manage end-to-end agile delivery of AI solutions, translating business needs into products.
- Bridge business stakeholders and technical teams to ensure AI solutions meet strategic goals.
- Drive change management to support user adoption of AI tools and a culture of innovation.
- Engage business stakeholders to understand operational challenges and digital opportunities.
- Analyze current-state and future-state processes.
- Lead requirements-gathering workshops and stakeholder interviews.
- Develop business requirements documents, functional specifications, and user stories.
- Support selection, design, and implementation of digital solutions, including workflow systems, ERP, PLM, cloud platforms, automation tools, and analytics.
- Configure, test, and deploy systems, including system integration testing and user acceptance testing support.
- Prepare project documentation, reports, and executive presentations.
- Track risks, issues, timelines, and deliverables.
- Support change management, training, and user adoption.
- Assess processes and fit gaps for artwork and labeling transformation programs.
- Design future-state artwork and labeling processes, governance models, and workflow improvements covering creation, review, approval, and release.
- Collaborate with Regulatory, Quality, Marketing, Packaging, and Supply Chain teams to recommend improvements to efficiency, compliance, and traceability.
- Contribute to the design, configuration, and deployment of artwork and labeling platforms.
- Prepare functional specifications, user stories, acceptance criteria, and configuration requirements.
- Support integration discussions with upstream and downstream systems such as PLM, ERP, RIM, and QM.
- Support system integration testing and user acceptance testing planning, execution, defect analysis, and sign-off activities.
- Validate end-to-end artwork and labeling workflows against business requirements.
- Assist project managers with tracking deliverables, timelines, risks, dependencies, and stakeholder communications.
- Support business development materials, including proposals, RFP/RFI responses, presentations, and solution documents.
- Assist with project scoping and effort estimation to determine schedules and budgets.
- Prepare client case studies and success stories demonstrating value delivered.
- Develop internal knowledge assets, playbooks, and training materials.
- Gather, analyze, and validate business and system requirements through workshops and interviews.
- Document current-state and future-state workflows to identify gaps and improvement opportunities.
- Develop business requirement documentation, functional specifications, and user stories to guide solution delivery.
- Prepare test cases, coordinate testing, and track defects to ensure requirements are met.
- Perform data analysis and reporting to support insights and decisions.
- Work within agile or waterfall delivery frameworks to manage timelines and deliverables.
- Possess knowledge of Master Data Governance and Material Master objects.
- Use SAP MDG, including configuration and development.
- Customize Material Master fields and tables.
- Gather requirements and translate them into functional design specifications.
- Prepare business process designs, conduct detailed design reviews, and perform configuration setup in client development and test environments.
- Support WRICEF development and ensure objects are delivered on schedule.
- Lead and guide teams to support successful delivery of defined solutions.
- Coordinate with cross-functional teams to resolve issues in the area of expertise.
- Design, configure, and implement SAP MDG-BP solutions.
- Collaborate with business stakeholders to understand master data requirements and translate them into functional designs.
- Configure and customize MDG data models, workflows, business rules, validations, and user interfaces for Business Partners.
- Support integration with SAP S/4HANA, ECC, and other systems through ALE, IDoc, or API-based interfaces.
- Manage data governance processes, including data quality, validation, and approval workflows.
- Collaborate with ABAP developers on enhancements, validations, and custom developments.
- Conduct workshops, testing (unit, integration, and user acceptance), and end-user training.
- Support cutover, migration, and post-go-live activities.
- Ensure alignment with MDG best practices, data governance policies, and compliance standards.
- Provide ongoing support and continuous improvement for MDG-BP processes.
- Design and configure SAP PLM modules, including Specification Management, Recipe Development, Labeling, Document Management, Bill of Materials, and Engineering Change Management.
- Integrate SAP PLM with other SAP modules and third-party systems, including CAD tools such as SAP ECTR.
- Conduct workshops with business stakeholders to gather and analyze requirements.
- Analyze existing product development practices and recommend improvements using SAP functionality.
- Document business requirements, process flows, and functional specifications.
- Deliver Product Safety and Stewardship/Product Compliance transformation programs to drive client innovation and process enablement.
- Develop Product Compliance assets and offerings and liaise with managers and senior managers on them.
- Work in Product Compliance areas including Substance Volume Tracking, Product Safety/Safety Data Sheets, Dangerous Goods Management, Product Marketability, Regulatory Compliance, Chemical Compliance, Global Labeling Management, and Product Registration Management.
- Apply Master Data Management and data migration tools and solutions; co-develop use cases, assets, and solutions with business teams.
- Create business processes for compliance management and integration using Product Compliance capabilities.
- Support proposals and develop eminence in HSE/Product Compliance capabilities.
- Contribute to the growth and development of the Product Compliance offering and support recruitment, training, and coaching.
- Support management with RFPs, estimation, and work breakdown.
- Strong expertise with major PIM platforms such as Informatica, Stibo, and ContentServ.
- Background in enterprise system integrations.
- Understanding of data modeling, data governance, and MDM concepts.
- Experience in a consulting firm or client-facing environment.
- Knowledge of industry-specific data standards and regulatory requirements.
- Experience with ETL tools such as Informatica, Talend, and SSIS.
- Proficiency in SQL and relational databases such as Oracle, SQL Server, and MySQL.
- Experience with data migration in ERP systems such as SAP or Oracle.
- Familiarity with cloud platforms such as AWS, Azure, and Google Cloud, and data warehousing concepts.
- Ability to analyze complex data sets and design effective transformation rules.
- Familiarity with controlled documentation environments such as FMCG, Pharma, Chemicals, and Manufacturing.
- Experience delivering mid-to-large-scale label and artwork management implementations using Loftware, ESKO, BarTender, and Prisym 360, integrated with ERP, RIM, and PLM systems.
- Proficiency in integrating labeling systems with SAP ERP, MES, and e-LIMS using FTP, HTTPS, and TCP/IP.
- Experience migrating label templates, printer configurations, and user access roles.
- Strong written and verbal communication skills, including presentations and documentation using Excel, Visio, and PowerPoint.
- Experience in MDG for Customer/Vendor, MDG Consolidation, or MDG on S/4HANA.
- Knowledge of MDG-F and MDG-M modules.
- SAP MDG certification.
- Experience with Agile/Scrum delivery models.
- MBA or other postgraduate qualifications.
- Strong stakeholder management and facilitation skills.
- Experience in cross-functional technology or process improvement projects.
- Exposure to enterprise platforms such as ERP, PLM, workflow tools, cloud systems, and automation solutions.
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
Get referred to Accenture
See people who can refer or advise you
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.
Help us improve and share your feedback! Did you find this helpful?
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.