AI Lead, Manufacturing & Supply Chain

This is what you will do:

Alexion is seeking a visionary AI lead to shape and execute the AI strategy across our manufacturing quality and supply chain this pivotal role you will partner with global operations teams to turn complex production and quality challenges into intelligent AIpowered solutions that drive efficiency enhance reliability and ensure patients receive lifechanging therapies safely and on time.

You will lead the design development and adoption of advanced AI/ML capabilities that optimize drug production strengthen quality systems streamline distribution and enable datadriven operational excellence. This role blends deep technical expertise with strong product thinking manufacturing insight and exceptional stakeholder leadership.

You will be responsible for:

• AI Strategy & Portfolio: Identify and prioritize highimpact AI use cases in manufacturing quality control and supply chain optimization. Govern the portfolio from proofofconcept through validation to scaled products with clear stage gates success metrics and value tracking.
• Ownership & Delivery: Act as the product owner for AI solutions (e.g. yield optimization anomaly detection batch release acceleration demand and supply forecasting inventory optimization network planning etc.). Set problem statements adoption thresholds and benefits realization plans; oversee delivery with internal teams and partners.
• Business Interface & Partnerships: Serve as the primary interface between manufacturing quality and supply chain teams and external AI partners. Translate business needs into AI solutions. Evaluate buybuildpartner options and manage vendors/consortia.
• Workflow Integration & Change: Lead crossfunctional integration of AI into MES ERP LIMS/ELN QMS APS WMS and logisticsplatforms maintaining a strong focus on GMP/GxP compliance. Ensure AIdriven insights are actionable in daily operations supporting root cause analysis and continuous process change management (stakeholder engagement training/upskilling superuser networks SOP/role updates communications feedback loops) to accelerate adoption and scale.
• Data & Platforms: Partner with the Head of Data and tech teams to ensure data quality and secure integration across manufacturing and supply chain data sources. Influence platform choices and manage buybuildpartner decisions with clear success criteria and vendor governance.
• Governance GMP/GxP and Responsible AI: Ensure adherence to GMP/GxP data integrity (ALCOA) validation (CSV/CSA) privacy and audit responsible AI practices including model validation explainability monitoring and drift management change control rolebased access and inspectionready documentation.
• Impact & Communication: Define OKRs/KPIs tied to business outcomes (e.g. uptime efficiency/yield batch release cycle time deviation recurrence schedule adherence inventory turns etc.). Track and communicate progress impact and value to business teams and executive leadership with clear narratives and evidence.
• Talent & Culture: Drive upskilling change management and a culture of AI adoption on the shop floor and in the supply a crossfunctional network of superusers and AI champions; set standards and best practices.

You will need to have:

• Education: BS in Computer Science Engineering Industrial Engineering Information Systems or a relevant field required. MS or MBA preferred with strong exposure to biopharma/biotech manufacturing quality and supply chainand meaningful AI familiarity (coursework certifications executive programs or applied initiatives).
• Experience: 10 years in biopharma or biotech Manufacturing Quality Technical Operations or Supply Chain; 5 years leading crossfunctional technologyenabled portfolios with measurable outcomes. Demonstrated success sponsoring/directing AI initiatives from concept to scaled adoption; not responsible for handson coding or model development.
• Business Domain Expertise: Deep understanding of GMP manufacturing quality systems tech ops and endtoend supply chain. Proven ability to translate operational needs into AIenabled solutions that improve reliability cycle time and cost.
• Product and Portfolio Leadership: Proven ability to define roadmaps prioritize portfolios manage budgets and deliver measurable impact.
• Stakeholder Management: Credible partner to Plant Ops Quality/QA Supply Chain Engineering Procurement Finance Digital/IT and Data/Tech; influences without authority and aligns internal and external partners.
• Workflow Integration & Change: Track record embedding AI into MES ERP LIMS/ELN QMS APS WMS and logistics workflows; adept at change leadership training and benefits realization with human in the loop controls.
• Data & Governance Fluency: Familiarity with key data domains (Manufacturing process and equipment batch records planning QC and lab etc.) and principles for quality access controls and lineage/traceability; experienced in vendor management.
• Regulatory & Compliance: Working knowledge of GMP/GxP validation (CSV/CSA) audit requirements and documentation standards; familiarity with responsible AI and model risk management in GMP contexts.
• Technical Fluency (noncoding): Comfortable engaging with AI/ML concepts relevant to operations (predictive modeling anomaly detection forecasting and optimization NLP for deviations and CAPA computer vision for inspection). Able to assess value risk and feasibility; understand AI and platform considerations to make informed decisions and ask the right questions without needing to code or build models.
• Communication & Storytelling: Exceptional ability to simplify AI concepts business audiences; craft outcomefocused narratives and adoption cases; report progress impact and value to business and executive leadership with clear evidence and tradeoffs.

We would prefer for you to have:

• Rare disease or biologics manufacturing including small batch operations and specialized logistics.
• Experience acting as business product owner for AI solutions driving adoption and measurable outcomes.
• Portfolio financial acumen (investment cases ROI) and partnership governance (buybuildpartner success measures IP/publications stance)
  

In-Office/Hybrid Statement:

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Compensation and other factors:

The annual base pay (or hourly rate of compensation) for this position ranges from $ -$ positions offer eligibility for various incentivesan opportunity to receive short-term incentive bonuses equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs paid time off (i.e. vacation holiday and leaves) as well as health dental and vision coverage in accordance with the terms of the applicable plans.

At AstraZenecas Alexion division for Rare Diseases you will find an environment where work is more than just a jobits a mission. Our closeness to patients brings us closer to our work and each other. With a rapidly growing portfolio in a nimble biotech atmosphere supported by global resources tailored development programs are crafted to improve your skills. These programs encourage a deep understanding of our patients journeys. Here diversity is valued; inclusion is championed; innovation is celebrated; all while making a profound impact on patients lives.

Ready to make a difference Apply now!

Date Posted

Closing Date

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and furtherance of that mission we welcome and consider applications from all qualified candidates regardless of their protected characteristics. If you have a disability or special need that requires accommodation please complete the corresponding section in the application form.