Senior Director, AI Enterprise Process & Innovation Center

Senior Director, AI Enterprise Process & Innovation Center

We're building a connected, end-to-end Enterprise AI engine that unites data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. At the heart of that engine sits process intelligence: the discipline of seeing how our enterprise actually runs, through process mining and task mining, and using that ground truth to reinvent what work should look like when AI is the starting point rather than the afterthought. Success depends on being exceptional connectors: you'll actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities, and where the measure of success is adoption and scale rather than innovation alone, you'll have the platform (and sponsorship) to make it real!

Introduction to role

Are you ready to own the charge in transforming AstraZeneca into a digital, data-led, and process-intelligent enterprise? As Senior Director of our AI Enterprise Process & Innovation Center, you will establish process mining and task mining as a foundational enterprise capability and use it to help business areas fundamentally re-imagine their process capabilities and workflows through an AI-first lens. Rather than optimising processes as they are, you'll partner with functions to expose how work truly flows (the variants, the rework, the handoffs, the bottlenecks) and then redesign those workflows around AI, automation, and decision intelligence. You'll turn event-log and desktop-interaction data into a living, evidence-based picture of the enterprise, quantify the value at stake, and convert it into scalable, compliant, value-realising solutions within our regulated environment. Join us in this pivotal role and make a real impact.

Accountabilities

• Stand up and scale process mining and digital twins as an enterprise capability. Deploy process intelligence platforms to create a continuously refreshed, data-driven view of how critical end-to-end processes actually operate across the value chain.

• Diagnose from ground truth, not assumption. Mine system event logs and user task-level interaction data to surface structural bottlenecks, rework loops, process variants, conformance gaps, and the highest-value candidates for AI and automation.

• Partner with business areas to re-imagine their processes AI-first. Act as a trusted advisor to functional leaders, co-creating reinvented, decision-centric target operating models and workflows where AI, GenAI, and automation are designed in from the outset.

• Quantify and prioritise the value opportunity. Translate process-intelligence insight into a ranked pipeline of interventions, and partner with Finance to baseline, track, and defend realised value.

• Embed process excellence disciplines at scale. Bring Lean, Six Sigma, BPM, and value-stream thinking together with modern process and task mining to drive measurable, sustained improvement in speed, quality, cost, and decision-making.

• Enable continuous monitoring and conformance. Move beyond one-off analysis to always-on process observability, so improvements stick and drift is caught early.

• Integrate across the enterprise. Connect business, technology, data, and change functions to move mined opportunities into deployed, adopted AI use cases.

• Ensure scalable, compliant solutions. Partner with Enterprise AI, IT, Data, Risk, Quality, and Legal/Compliance so every solution meets GxP, validation, privacy, and Responsible AI expectations.

• Build the community and the craft. Lead adoption of new ways of working and grow a community of practice in process mining, task mining, and AI-enabled process excellence, upskilling business teams to sustain the capability themselves.

Essential Skills/Experience

• Master's degree in a scientific or business field (or equivalent experience).

• 10+ years in enterprise transformation, process excellence, process mining/intelligence, digital/AI strategy, or consulting in regulated sectors.

• Demonstrable, hands-on experience delivering process mining and/or task mining programmes (e.g. Celonis, SAP Signavio, UiPath Process/Task Mining, Microsoft Process Mining), spanning data connection through to insight, redesign, and realised value.

• Proven track record redesigning end-to-end processes and delivering AI-enabled process transformation and value at scale.

• Deep fluency in process excellence methodologies (Lean, Six Sigma, BPM, value-stream mapping) and the ability to fuse them with data-driven process intelligence.

• Strong cross-functional leadership and senior partner management, with the credibility to help business leaders re-imagine their own processes.

• Strong grasp of AI, analytics, automation, and digital platforms, with the ability to translate capability into tangible business outcomes.

• Governance and compliance fluency, including GxP, validation, privacy, and Responsible AI.

Desirable Skills/Experience

• PhD or equivalent experience in a scientific or business field.

• Process mining certification (e.g. Celonis or Signavio) or Lean Six Sigma Black Belt.

• Experience building process digital twins and always-on conformance/monitoring capabilities.

• Familiarity with GenAI/LLMs, NLP, CV, RAG, knowledge graphs, and MLOps/LLMOps, and how they reshape process design.

• Knowledge of emerging regulatory expectations for AI in regulated industries.

• Risk, monitoring, bias/fairness, and incident-response expertise for AI systems.

• Awareness of the latest thinking in systems design, AI product management, and decision-centric operating models.

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

At AstraZeneca, we are driven by a singular purpose: to push the boundaries of science and develop life-changing medicines. Our work directly impacts patients' lives by transforming our ability to innovate through ground breaking science combined with leading digital technology platforms. We empower our teams to perform at their peak and lead new ways of working. With a focus on employing technology to save lives, AstraZeneca offers a multifaceted environment where you can explore new solutions and tackle challenges that have never been addressed before.

Join us on this exciting journey as we disrupt the industry and make a meaningful impact.

#EAI

Ready to take on this challenge? Apply now to be part of our transformative journey!

Date Posted

07-Jul-2026

Closing Date

15-Jul-2026

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.