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Accenture

Advises businesses and runs their technology

R&D Process Transformation Consultant - Digital Engineering

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeTaguig, Metro Manila, PhilippinesNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Business Administration or a related field is required for the Data Transformation & 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, product data consulting, or related roles is required for the Data Transformation & Analytics section.
  • Strong stakeholder management and communication abilities are required.
  • 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.
  • Exposure to enterprise platforms such as ERP, PLM, workflow tools, cloud systems, and automation solutions is required for the Artwork and Labeling section.
  • Requirements gathering and stakeholder facilitation, including gathering, analyzing, and validating business and system requirements through workshops and interviews, is required.
  • Process mapping using BPMN, Visio, or equivalent is required to document current and future workflows and identify gaps and improvement opportunities.
  • Business analysis and functional documentation skills are required to develop business requirements documentation, functional specifications, and user stories.
  • Testing support skills for SIT and UAT are required, including preparing test cases, coordinating testing, and tracking defects.
  • Basic data analysis using Excel, BI, or equivalent is required.
  • Familiarity with Agile or Waterfall methodologies and tools such as JIRA or Microsoft Project, or equivalent, is required.
  • Deep knowledge of Master Data Governance and the Material Master object is required.
  • Functional experience with the SAP Master Data Governance application, including configuration and development, and knowledge of Material Master field and table customization are required.
  • Experience with SAP MDG 8.0, 9.0, and/or 9.2 and the S/4HANA MM module is required.
  • Experience implementing SAP MDG solutions for master data objects such as Material and Vendor is required, including Data Model Enhancement, Data Transfer (DIF/DEF), Data Replication Framework (DRF), and Business Rules Framework Plus (BRF+).
  • Experience configuring rule-based workflows and integrating business process requirements with SAP Master Data Governance technical implementation is required.
  • Knowledge of user interface modeling, including value restrictions, data quality, validation, and derivation rules, is required.
  • Knowledge of process modeling, including entities, business activity changes, request types, workflows, data replication techniques, ALE connections, key and value mapping, data transfer, and master data conversion, is required.
  • Expertise in activating and configuring the MDG-M module and its components is required.
  • 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 with MDG data modeling and the governance framework, BRF+, DRF, workflow design and configuration, and data replication and integration between MDG and SAP and non-SAP systems is required.
  • Familiarity with S/4HANA MDG and Central Governance versus Consolidation scenarios is required.
  • A Bachelor's degree in Information Technology, Computer Science, or Business Administration is required for the Master Data Governance section.
  • 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 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 the overall product lifecycle management process 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 or Product Compliance, including SVT, DG, SDS, GLM, Chemical Risk Assessment, or Chemical Approval, is required.
  • Knowledge of SAP HSE and Product Compliance modules and capabilities across multiple industries is required.
  • Thorough knowledge of HSE and Product Compliance processes and industry best practices is required.
  • In-depth experience with SAP HSE and 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 a discrete or process industry is required.

Responsibilities

  • For PIM engagements, lead workshops to define product taxonomy, data models, attribute frameworks, hierarchies, and workflows.
  • Translate AI capabilities into business value, define roadmaps, and manage delivery of AI-powered solutions across industries.
  • Design solutions and advise on PIM strategies.
  • Engage in business discussions by applying technical expertise and communication skills.
  • Interview and consult with stakeholders to identify pain points and formulate business requirements focused on PIM capabilities.
  • Use knowledge of PIM out-of-the-box functionality versus customization to advise on and implement client engagements.
  • Connect business stakeholders, project managers, and functional and technical consultants on data modeling, data migration, process redesign, and integration.
  • Support clients in selecting software and implementation vendors.
  • Analyze legacy architecture to assess migration requirements and identify potential challenges.
  • Review data models and recommend future-state designs based on best practices.
  • Analyze business processes, identify harmonization and simplification opportunities, and define future process workflows.
  • Support end-to-end data migration by analyzing, preparing, extracting, transforming, validating, and loading data.
  • Help clients define business rules to automate attribute definitions.
  • Develop and execute functional test plans, including user acceptance testing, to validate functional and process accuracy.
  • Document processes, workflows, and best practices.
  • Advise clients on AI strategy by identifying high-impact use cases and developing 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, user adoption of AI tools, and a culture of innovation.
  • Perform functional consulting for advisory and implementation projects focused on data migration and data quality.
  • Connect business stakeholders, project managers, and functional and technical consultants on data migration and 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.
  • Gather and formulate business requirements through interviews and user discussions.
  • Support business users with migration questions, including data analysis and preparation, extraction, transformation, 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 data integrity after migration.
  • Design and implement data transformation rules, maintain data integrity, and execute migration strategies, including ETL, validation, and reconciliation.
  • Collaborate with clients and stakeholders to collect and document requirements for data transformation and migration projects.
  • Analyze business processes, identify improvements, and define data-related process workflows.
  • Develop functional specifications and ensure alignment with technical solutions; communicate clear requirements to technical teams.
  • Serve as the primary contact among clients, business units, and technical teams to ensure alignment and clarity.
  • Develop and execute functional test plans, including UAT, to validate data accuracy and process functionality.
  • Provide end-user training and document processes, workflows, and best practices.
  • 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 SIT and UAT 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-gap needs for artwork and labeling transformation programs.
  • Design future-state processes for artwork and labeling creation, review, approval, and release, including governance models and workflow enhancements.
  • Collaborate with Regulatory, Quality, Marketing, Packaging, and Supply Chain teams to recommend efficiency, compliance, and traceability improvements.
  • Contribute to the design, configuration, and deployment of artwork and labeling platforms such as Esko, Loftware, TEKLYNX, and BarTender.
  • 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, including SAP, Siemens, PTC, and Dassault systems.
  • Support SIT and UAT planning, execution, defect analysis, and sign-off during implementation cycles.
  • Validate end-to-end artwork and labeling workflows against business requirements.
  • Assist project managers in tracking deliverables, timelines, risks, dependencies, and stakeholder communications.
  • Prepare business development materials, including proposals, RFP/RFI responses, presentations, and solution documents.
  • Assist with project scoping and effort estimation to develop realistic schedules and budgets.
  • Prepare client case studies and success stories that demonstrate delivered value.
  • 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 requirements documentation, functional specifications, and user stories to guide solution delivery.
  • Prepare test cases, coordinate testing, and track defects to verify requirements.
  • Perform data analysis and reporting to support insights and decisions.
  • Work within structured Agile or Waterfall delivery frameworks to manage timelines and deliverables.
  • Gather requirements and translate them into functional design specifications for Master Data Governance.
  • 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 achieve successful delivery of the defined solution.
  • Coordinate with cross-functional teams to resolve issues affecting 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 via 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 UAT), 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 for Specification Management, Recipe Development, Labeling, Document Management (DMS), BOM, and ECM.
  • Integrate SAP PLM with SAP modules such as MM, PP, and QM, and third-party systems including CAD tools such as SAP ECTR.
  • Conduct workshops with business stakeholders to gather and analyze requirements.
  • Analyze product development practices and recommend improvements using SAP functionality.
  • Document business requirements, process flows, and functional specifications.
  • Deliver product safety, stewardship, and compliance transformation programs that drive client innovation and process enablement.
  • Develop product compliance assets and offerings in collaboration with Managers and Senior Managers.
  • Apply product compliance expertise in Substance Volume Tracking, Product Safety and 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 to client needs and co-develop use cases, assets, and solutions with business teams.
  • Enable transformation by creating business processes for compliance management and integration.
  • Support proposals and build expertise and visibility in HSE and Product Compliance capabilities.
  • Contribute to the growth and development of Accenture's Compliance offering and support recruitment, training, and coaching.
  • Support management with RFPs, estimation, and work breakdown.

Desired Qualifications

  • 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.
  • Familiarity with controlled documentation environments such as FMCG, Pharma, Chemicals, or Manufacturing.
  • Experience delivering mid- to large-scale label and artwork management implementations using Loftware, Esko, BarTender, and Prisym 360, with integrations across ERP, RIM, and PLM systems for compliance and business continuity.
  • 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.
  • Postgraduate qualifications such as an MBA are highly desirable.
  • Experience in SAP MDG for Customer/Vendor, MDG Consolidation, or MDG on S/4HANA.
  • Knowledge of MDG-F and MDG-M modules.
  • SAP MDG certification is a plus.
  • Experience with Agile or Scrum delivery models.
  • Experience working on cross-functional technology or process improvement projects.
  • Exposure to enterprise platforms including ERP, PLM, workflow tools, cloud systems, and automation solutions.
  • 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 and Oracle.
  • Familiarity with cloud platforms such as AWS, Azure, and Google Cloud and with data warehousing concepts.
  • Ability to analyze complex datasets and design effective transformation rules.
  • Knowledge of industry-specific data standards and regulatory requirements.

About the Company

Accenture

Advises businesses and runs their technology

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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