Executive Director, Enterprise Process & Innovation

Purpose

• Drive end-to-end process transformation across the value chain-spanning Operations Manufacturing Supply Chain and Commercial-by embedding AI at the point of work to improve quality service speed cost and patient impact.

• Shift the enterprise from function-centric workflows to decision-centric operating models thateliminatebottlenecks and reduce manual handoffs with a particular focus on high-value decisions in manufacturing execution quality planning procurement field engagement and revenue growth.

Accountabilities

• Redesign critical end-to-end processes with a value-chain lens. Focus on decision-centric models that integrate AI into daily work across Manufacturing (e.g. shop-floor decision support batch release deviation triage) Operations/Supply Chain (e.g. demand/supply planning inventory optimization logistics) and Commercial (e.g. next-best action customer engagement pricing/contracting). Remove structural bottlenecks and reduce decision latency to deliver measurable business outcomes.

• Act as a cross-functional integrator to incubate and scale AI-enabled use cases across Operations Manufacturing Quality Supply Chain Commercial Medical Legal Finance and Procurement. Establish repeatable pathways to move from pilot to scaled enterprise capabilities with proven impact on service levels cycle time yield and revenue.

• Advisory role and value realization: Partner with senior leaders in Operations Manufacturing and Commercial to frame problem statements quantify benefits and align AI solutions to outcomes such as OEE throughput COGS right-first-time forecast accuracy customer engagement effectiveness and growth. Collaborate with Finance to define value metrics track benefits realization and ROI and ensure sustained impact. Advise where AI shifts operating leverage versus where traditional optimization suffices.

• AI operating model and governance: Collaborate with Enterprise AI Data IT Risk Quality Legal/Compliance and GBS to ensure solutions are scalable secure compliant and ethical-fit for regulated manufacturing andGxPenvironments data privacy in Commercial and enterprise-grade risk controls. Codify pragmatic governance that accelerates delivery without compromising safety or trust.

• Change leadership and capability building: Lead adoption through new ways of working role redesign and clear decision rights-across plant operations global supply chain and field/commercial teams. Build enterprise understanding of AIs role in process transformation through executive storytelling and hands-on engagement on the shop floor and with go-to-market teams.Develop talent and communities of practice in process innovation AI product thinking and systems design; plan for succession.

• Delivery and scale: Lead or coordinate complex high-value AI-enabled improvement initiatives from idea to pilot to scaled capability. Orchestrate cross-functional squads to remove blockers and embed AI into routine operations (e.g.eBR/eDHRenhancements CPV analytics quality signal detection S&OP/IBP decision support territory/customer orchestration). Socialize strategicoutcomesdemonstratingcost quality service and financial improvements.

Essential Skills/Experience

• Proven leadership in redesigning end-to-end processes across Operations Supply Chain Manufacturing and Commercialenvironments transitioning from function-optimized workflows to AI-enabled decision-focused operating models. Demonstrated ability toidentifyand remove bottlenecks manual handoffs and slow decision points-and to build intelligence into workflows rather than layering tools.

• Strong integrator who connects business technology data and change capabilities to deliver enterprise innovation-incubating and expanding AI use cases in R&D Manufacturing/Quality Supply Chain Commercial Medical Legal Finance and Procurement-with repeatable methods to progress from pilot to scaled capability.

• Internal consultancy and value realization experience with executive stakeholders in Operations Manufacturing and Commercial: shaping problem statements; building value cases tied to OEE yield cycle time scrap/rework forecast accuracy service levels and revenue growth; partnering with Finance to define metrics track benefits and ROI and secure sustained impact; advising where AI changes operating leverage.

• AI operating model and governance: Experience partnering with Enterprise AI Data IT Risk Quality Legal/Compliance and GBS to deploy responsible AI in regulated environmentsGxPmanufacturing and quality as well as compliant Commercial use cases-balancing speed with safety and trust.

• Change leadership and capability building in operational and commercial contexts: driving adoption with new ways of working and decision accountability across plants supply chain functions and field forces; educating senior leaders; building talent and communities of practice in process innovation AI product thinking and architectural planning; thoughtful succession planning.

• Delivery and scale: Track record orchestrating cross-functional squads to embed AI into day-to-day operations (e.g. predictive maintenance batch release prioritization quality trending and signal detection IBP/S&OP decision support next-best engagement omnichannel optimization) and communicating benefits across cost quality service and growth dimensions to evidence ROI.

• Executive-level advisory experience translating ambiguous operational and commercial challenges into clear value cases and operating leverage with a consistent record of delivering line-of-business impact.

• Expertisein decision-centric operating models process engineering and systems design; familiarity with Lean Six Sigma TPM and digital/advanced manufacturing methods (e.g. CPVeBR PAT) as well as Commercial excellence practices (e.g. segmentation targeting incentive comp payer/access strategy).

• Proficiencyin AI product thinking ML engineering andMLOps large language models and orchestration and data platform integrationapplied to use cases such as maintenance and yield optimization deviation/root cause acceleration quality analytics demand forecasting supply planning and omnichannel/customer engagement.

• Experience establishing and operating governance for secure responsible AI in regulated manufacturing and compliant Commercial settings in partnership with risk quality and legal/compliance.

• Strong storytelling and education skills to engage senior operations and commercial leaders and mobilize multidisciplinary teams;demonstratedsuccession planning and talent development.

• Ability to orchestrate cross-functional squads and deliver from idea to pilot to scaled capability with measurable improvements in OEE cycle time cost-to-serve service levels and revenue growth.

Bachelors degree advanced degree preferred.

Why AstraZeneca:

Here your leadership directly influences how quickly and reliably we deliver therapies to patients. You will work at the intersection ofcutting-edgescience and advanced digital technologies shaping early-stage approaches and turning uncertainty into pragmatic scalable solutions. We bring unexpected teams together to unleash bold thinking valuing kindness alongside ambition and empower you to build partnerships and ecosystems that create new ways of working. With the investment and autonomy to succeed you will drive cross-company change at pace learn fast and see the impact of your decisions across the enterprise.

Call to Action:

Bring your leadership to rewire our enterprise and turn AI into everyday operating leveragestep forward and shape how life-changing medicines reach patients faster.

The annual base pay for this position ranges from $249618.40 - 374427.60 USD Annual. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and addition our positions offer a short-term incentive bonus opportunity; eligibility toparticipatein our equity-based long-term incentive program (salaried roles) to receive a retirement contribution (hourly roles) and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program 401(k) plan; paid vacation and holidays; paid leaves; and health benefits including medical prescription drug dental and vision coveragein accordance withthe terms and conditions of the applicable plans.Additionaldetails of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired employee will be in an at-will position and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.

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