Workstream Project Manager – Innovation & PLM and Data

Purpose of 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.

Remote with Internal Travel Required

Purpose of 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 harmonised 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, harmonised data, centralised 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, harmonised and high-quality data foundation across key business functions. The programme is intended to enable future advanced analytics, AI and intelligent enterprise capability through SAP S/4 and connected platforms.

Objectives & Measurement - Key Responsibilities

Workstream Delivery & Execution

• Drive day-to-day delivery across Innovation, PLM and Data workstreams.
• Ensure workstream plans, deliverables and milestones are aligned to the integrated programme plan.
• Coordinate activities across design, data migration, data governance, integration, build, test, cutover and hypercare.
• Track progress against agreed milestones and escalat
• 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 harmonised 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. Global Product Domains are accountable for the data that underpins processes and the platforms and systems that enable them.

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 escalat
• 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

Essential

Knowledge, Skills, Capability and Experience

• Proven experience managing workstreams within large-scale ERP, SAP S/4HANA, PLM, data or enterprise transformation programmes.
• 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 programme 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.

Leadership Style Required

• Structured, proactive and delivery-focused.
• 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 organisations.
• Relevant certifications such as PRINCE2, PMP, Agile, DAMA, SAP Activate or data governance certifications.

Physical Demands

The need to collaborate across different time zones means that there is a large degree of flexibility and autonomy. It is expected that there will be global travel to all business regions.