Workstream Project Manager – Innovation & PLM and Data

Remote role with internal travel required.

About the Role

The Workstream Project Manager – Innovation & PLM & Data is accountable for driving day-to-day delivery execution across the S4+ Innovation, Product Lifecycle Management, and Data workstreams. This includes coordinating delivery across process design, product and engineering data, enterprise data governance, analytics, integration, testing, migration, cutover, and transition to future operating model ownership. The role supports harmonized delivery across value streams including Concept to Launch, Acquisition to Obsolescence, Data to Insight, and related cross-domain processes.

The Board Paper identifies enhanced Engineering and Product Lifecycle Management, harmonized data, centralized data management, predictive analytics, and real-time reporting as core technology and performance outcomes for S4+. The role is critical to ensuring S4+ builds a clean, harmonized, and high-quality data foundation across key business functions. The program aims to enable future advanced analytics, AI, and intelligent enterprise capability through SAP S/4 and connected platforms.

Responsibilities

• Workstream Delivery & Execution
  • Drive day-to-day delivery across Innovation, PLM, and Data workstreams.
  • Ensure workstream plans, deliverables, and milestones align with the integrated program plan.
  • Coordinate activities across design, data migration, data governance, integration, build, test, cutover, and hypercare.
  • Track progress against agreed milestones and escalate delivery risks early.
  • Maintain clear ownership of deliverables across Weir, Deloitte, SAP, and third-party teams.
  • Lead corrective actions where workstream delivery is delayed or blocked.
• Innovation, PLM & Engineering Process Coordination
  • Coordinate delivery across Innovation, Engineering, and Product Lifecycle Management scope.
  • Support alignment between S/4HANA, PLM platforms such as Teamcenter, product data, engineering processes, and downstream manufacturing or supply chain processes.
  • Ensure process design supports harmonized global ways of working rather than local variants.
  • Support end-to-end linkage from product concept, design, launch, lifecycle management, and obsolescence.
  • Ensure Innovation and PLM workstream delivery aligns with Product Domain ownership and future-state operating model.
• Data Delivery & Governance
  • Coordinate data-related activities across master data, transactional data, migration, data quality, data governance, and reporting dependencies.
  • Work with Data Leads, Product Domains, and Functional Leads to ensure data ownership and quality requirements are clear.
  • Support data readiness for design validation, build, testing, cutover, and go-live.
  • Ensure data issues, cleansing actions, migration dependencies, and ownership gaps are actively managed.
  • Support the creation of a single source of truth for data and reporting.
• Planning, Dependencies & RAID Management
  • Own detailed planning and dependency management for Innovation, PLM, and Data delivery activities.
  • Manage dependencies across process, application, data, integration, testing, reporting, security, and change teams.
  • Ensure dependencies with Teamcenter, analytics platforms, S/4HANA, reporting, and other enterprise systems are visible and managed.
  • Maintain accurate RAID logs and escalate issues with clear mitigation options.
  • Provide timely and accurate reporting into PMO governance.
• Testing, Migration, Cutover & Readiness
  • Coordinate workstream readiness for data migration cycles, process validation, SIT, UAT, cutover rehearsals, and go-live.
  • Track testing progress, data defects, migration issues, and readiness criteria.
  • Ensure data loads, reconciliation, validation, and business sign-offs are planned and governed.
  • Support cutover sequencing for PLM, data, and related integration activities.
  • Ensure hypercare plans address data quality, reporting, process adoption, and operational support needs.
• Stakeholder & Partner Management
  • Work closely with Innovation, Engineering, Data, Product Domain, Technology, Deloitte, SAP, and third-party application teams.
  • Ensure clear alignment between business process needs, data ownership, and technical delivery.
  • Support decision-making by preparing clear status updates, issue summaries, and recommendations.
  • Hold teams accountable for delivery progress, evidence, and quality.
  • Promote collaboration across global teams and domains.

Requirements

• Proven experience managing workstreams within large-scale ERP, SAP S/4HANA, PLM, data, or enterprise transformation programs.
• Strong understanding of data migration, data governance, data quality, or enterprise reporting dependencies.
• Experience coordinating delivery across design, build, test, cutover, and hypercare.
• Ability to manage complex dependencies across business, data, technology, and third-party teams.
• Strong RAID management, planning, and program reporting skills.
• Experience working in a multi-party delivery model.
• Strong stakeholder management across business and technology teams.
• Ability to operate effectively in complex, ambiguous, and high-pressure environments.

Skills

• Structured, proactive, and delivery-focused leadership style.
• Strong advocate for data discipline, ownership, and quality.
• Comfortable challenging unclear ownership, poor data quality, or local divergence.
• Able to simplify complex cross-domain dependencies into clear plans and actions.
• Collaborative, resilient, and pragmatic.

Nice to Have

• Experience with SAP S/4HANA data migration, SAP MDG, SAP BTP, SAP Datasphere, or equivalent.
• Familiarity with Teamcenter, PLM, engineering data, or product lifecycle processes.
• Experience with Collibra, LeanIX, Signavio, SAP Cloud ALM, or equivalent governance tools.
• Knowledge of Concept to Launch, Data to Insight, or Acquisition to Obsolescence value streams.
• Experience in manufacturing, engineering, mining, industrials, or asset-intensive organizations.
• Relevant certifications such as PRINCE2, PMP, Agile, DAMA, SAP Activate, or data governance certifications.

Physical Demands

The need to collaborate across different time zones requires flexibility and autonomy. Global travel to all business regions is expected.