Senior Analyst, Planning Intelligence & Enablement

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 todayand 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

Why AstraZeneca:
Here supply chain is where science meets execution to reach patients at speed. You will join a diverse agile team that applies current technology and disciplined Lean ways of working to intricate real-world challenges. Expect to sit alongside manufacturing quality finance and digital specialistsunexpected teams in the same roomturning data into decisive action. We value kindness alongside ambition and we back ambitious thinking with the tools and support needed to make it real. With a pipeline of new therapies and an environment that prizes continuous improvement your work will directly shape how life-changing medicines move from our sites to those who need them most.

Step into this role to strengthen todays planning signals and help architect AI-enabled decisions that keep critical therapies flowingmake your impact now!

Date Posted

Closing Date

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