This is a hands-on, high-impact position within an intricate, fast-paced cell therapy supply chain. You will partner with planning, procurement, manufacturing, finance, quality, master data, and digital teams to ensure trusted planning outputs today-and to design the data structures, decision logic, and guardrails that enable AI-orchestrated, human-governed planning in the near future. Can you see yourself turning data, parameters, and process subject area into stable, actionable plans that scale with innovation?

Accountabilities:
- SAP Planning Governance: Ensure SAP data, planning parameters, and transaction execution consistently produce reliable material requirements and supply signals.
- Planning Signal Health Monitoring: Track and strengthen signal quality across demand, supply, inventory, and procurement so planning outputs remain stable, accurate, and actionable.
- Data Integrity and Issue Resolution: Identify, investigate, and resolve data and transaction issues that distort material planning or downstream execution.
- Metrics and Audit Routines: Build dashboards, KPIs, and audit checks to measure planning signal strength, data quality, transaction compliance, and overall supply chain health.
- Decision-Ready Analysis: Deliver clear, concise insights for S&OE, S&OP, and Tier forums, surfacing risks, weak signals, data issues, trends, and improvement opportunities.
- Decision-Centric Process Mapping: Document decisions, inputs, and logic embedded in current planning workflows to create the blueprint for future AI-enabled planning.
- Data Governance and AI Readiness: Support master and transactional data governance for operational execution and planning performance; define standards for data quality, structure, completeness, and context that enable high-confidence, autonomous planning over time.
- Expert Planning Tools Enablement: Serve as an authority translating planning logic, SAP transactions, and master data settings into decision rules that future AI agents must replicate or improve.
- Exception Management Frameworks: Establish criteria for when AI-generated plans require human review, issue, or override, with special focus on GxP-critical materials and patient-specific supply chains.
- AI-Assisted Workflow Pilots: Test AI recommendations against current planning outputs, measure accuracy, identify gaps, and debrief to improve AI agent performance.
- Convert institutional planning know-how into organized, portable formats. These include decision trees, logic maps, and exception catalogues. They can be embedded into AI systems and safeguarded as automation scales.

Essential Skills/Experience:
- Strong proficiency in SAP and understanding of supply chain transactions, core data, and planning-relevant data structures
- Proficient knowledge in Microsoft Excel, including data analysis, reconciliation, and visualization
- Experience analyzing data integrity, transaction accuracy, and process compliance within supply chain systems
- Good understanding of end-to-end supply chain processes, including material planning, purchasing, inventory management, and production execution
- Ability to perform root cause analysis and translate findings into practical business actions
- Good interpersonal and teamwork skills to work across planning, procurement, manufacturing, finance, and master data teams
- Excellent oral and written communication skills, with the skill to communicate complex findings clearly to collaborators
- Understanding of business implications of system and process issues on supply continuity, inventory, and operational performance
- Knowledge of cGMP manufacturing and regulatory/compliance requirements for cell therapy and the pharmaceutical industry
- 6+ years with BS/BA in related field, or 4+ years with MS/MA or MBA in related field

Desirable Skills/Exp experience:
- Experience with SAP transaction auditing, controls, or data governance
- Highly knowledgeable with Power BI, Tableau, Power Query, Power Pivot, or similar analytics tools
- Expert experience with planning systems such as OMP
- ERP implementation, enhancement, or scaling experience
- Experience in pharmaceutical, biotech, or operations related to cell therapy product logistics
- Knowledge of Python or VBA for automation and analysis
- Professional certifications such as CPIM or ASCM/APICS
- Curiosity and interest in understanding how AI/ML models consume and interpret planning data
- Eagerness to learn and collaborate with AI tools, digital agents, and automation platforms
- Ability to articulate planning logic and decision rules in structured, transferable formats
- Comfort with ambiguity and evolving role scope as AI capabilities mature

Date Posted
26-Jun-2026

Closing Date
02-Jul-2026