Digital Business Process & Product Lead – Digital and Business Systems

AstraZeneca is seeking an experienced Digital Business Process & Product Lead to shape and deliver digital capabilities that enable efficient, compliant, and data-driven operations across Cell Therapy Technical Operations. The role will lead business process and product strategy across platforms including OMP, SAP, PAS-X, Trak Cell, Nexus, Tulip, LIMS, QMS, One Lab, MODA, and related planning, manufacturing, laboratory, quality, supply chain, workflow, and data systems.

Acting as the voice of Operations, Manufacturing, Quality, Supply Chain, Laboratory, and site stakeholders, you will translate business needs into scalable digital products, integrated processes, and prioritized roadmaps. You will partner with Global IT, Data & AI, Engineering, Quality, Validation, business teams, and technology vendors to deliver measurable improvements across the end-to-end value chain. You will be based in Rockville or Gaithersburg, MD and report to the Senior Director, Cell Therapy Tech Ops - Digital and Business Process Strategy.

• Define the product vision, strategy, roadmap, and prioritization approach for a portfolio of digital and business systems.
• Manage backlogs, requirements, user stories, acceptance criteria, dependencies, and delivery priorities.
• Balance business value, regulatory commitments, technical dependencies, operational risk, and available capacity.
• Track benefits and performance indicators such as planning accuracy, schedule adherence, cycle time, laboratory turnaround, batch review duration, data quality, exception rates, and user adoption.

• Lead end-to-end process design and improvement across planning, procurement, manufacturing, labs, quality, inventory, release, supply chain, and logistics.
• Harmonize processes across sites while allowing justified local needs.
• Translate stakeholder needs into future-state processes, requirements, system designs, and digital capabilities.
• Define process maps, system interactions, information flows, roles, controls, and governance.
• Use data, feedback, and metrics to drive continuous improvement.

Provide business process and product leadership for:

• OMP:
  Planning, scheduling, demand and capacity management, supply planning, and system integration.
• SAP:
  Materials, procurement, inventory, finance, manufacturing, quality, master data, and supply chain processes.
• PAS-X:
  Recipes, master batch records, electronic batch records, production execution, workflows, exception handling, and batch review.
• Tulip:
  Connected worker solutions, digital work instructions, training, standard work, and shop-floor data capture.
• LIMS and One Lab:
  Sample management, testing, results review, stability, laboratory operations, data integrity, and release activities.
• MODA and related platforms:
  Quality, manufacturing, laboratory, and operational workflows.
• Integration and lifecycle management:
  Interfaces, data flows, releases, upgrades, incidents, remediation, platform performance, and decommissioning.
• AI & Data Analytics – Embed data and AI capabilities into Business Processes to accelerate scaling and maximize productivity

• Serve as a strategic digital partner to Operations, Manufacturing, Quality, Laboratory, Supply Chain, Planning, and site leadership.
• Facilitate workshops and governance forums to align stakeholders on priorities, scope, process design, and implementation plans.
• Lead cross-functional Agile delivery teams through discovery, design, configuration, development, testing, validation, deployment, hypercare, and support transition.
• Manage risks, dependencies, resources, release sequencing, operational readiness, communications, training, SOP updates, and adoption.
• Present recommendations, investment needs, risks, roadmap decisions, and benefits to senior leaders.
• Manage relationships with software vendors, implementation partners, and systems integrators.

• Partner with Data & AI and IT teams to improve master data, transactional data, metadata, lineage, ownership, and access controls.
• Promote consistent data models, interfaces, identifiers, event standards, and business rules across platforms.
• Enable reporting, operational analytics, predictive insights, planning optimization, and performance management.
• Identify automation opportunities that reduce manual effort, improve data capture, reduce errors, and accelerate decision-making.
• Ensure processes and…