Senior Analyst, Planning Intelligence & Enablement

AstraZeneca • Gaithersburg, MD

6d

About The Position

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?

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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.

Benefits

• We value kindness alongside ambition, and we back ambitious thinking with the tools and support needed to make it real.
• An inclusive culture where you will connect different thinking to generate new and valuable opportunities.
• A commitment to lifelong learning, growth and development for all.
• Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients.
• We want colleagues to wake up excited about their day at the office, in the field, or in the lab.
• A promise to help you realize the full breadth of your potential.
• Work that has the potential to change your life and improve countless others.
• Shape a culture that unites and inspires us every day.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior