Join AstraZeneca: Where AI Meets Life-Changing Impact
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 rigor of seeing how our enterprise actually runs. We analyze workflows and examine task activities. This ground truth helps us reimagine work with AI as the starting point, not 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.
As Director within our AI Enterprise Process & Innovation Center, you will help build and expand process mining and task mining. You will use these capabilities to help business areas 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 help 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 important role and make a real impact!
Accountabilities- Deploy and scale process mining and digital twins. Implement process intelligence platforms to create a continuously refreshed, data-driven view of how critical end-to-end processes actually operate, contributing to the enterprise capability as it grows 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. Work closely with functional teams and their leaders, co-creating reinvented, decision-centric workflows and target operating models 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.
- Apply process excellence disciplines. 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.
- Connect across the enterprise. Work with business, technology, data, and change teams to move mined opportunities into deployed, adopted AI use cases.
- Deliver 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.
- Grow the community and the craft. Support adoption of new ways of working and help grow a community of practice in process mining, task mining, and AI-enabled process excellence, upskilling business teams to sustain the capability themselves.
- Bachelor's or Master's degree in a scientific or business field (or equivalent experience).
- Strong experience in enterprise transformation, process excellence, process mining/intelligence, digital/AI strategy 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.
- Consistent track record redesigning end-to-end processes and delivering AI-enabled process transformation with measurable value.
- Strong knowledge of process excellence methodologies (Lean, Six Sigma, BPM, value-stream mapping) and the ability to fuse them with data-driven process intelligence.
- Strong cross-functional collaboration and stakeholder management, with the credibility to partner with business teams to re-imagine their 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.
We are AstraZeneca’s Enterprise AI Unit—a global community of people from across the business who are groundbreaking how AI transforms healthcare. We are building an AI empowered organisation from the ground up, which means we need people from every discipline-scientist, leaders, strategists, operators and technologists—united by an aim to apply AI where it matters most.
If you are ready to lead enterprise-scale AI projects that deliver measurable business value and meaningful patient impact, send your CV. Show us how you will bring it to life.
#EAI
Date Posted
10-Jul-2026Closing Date
17-Jul-2026Our 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.Skills Required
- Bachelor's or Master's degree in a scientific or business field (or equivalent experience).
- Strong experience in enterprise transformation and process excellence 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).
- Track record redesigning end-to-end processes and delivering AI-enabled process transformation with measurable value.
- Strong knowledge of Lean, Six Sigma, BPM, and value-stream mapping integrated with process mining.
- Strong cross-functional collaboration and stakeholder management skills to partner with business teams.
- Strong grasp of AI, GenAI, analytics, automation, and digital platforms and ability to translate into business outcomes.
- Governance and compliance fluency, including GxP, validation, privacy, and Responsible AI expectations.
- Ability to quantify, prioritize, and partner with Finance to baseline and track realised value.
- Experience building communities of practice and upskilling business teams in process mining and AI-enabled process excellence.
AstraZeneca Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AstraZeneca and has not been reviewed or approved by AstraZeneca.
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Fair & Transparent Compensation — Pay is considered competitive across many roles when total rewards are factored in. Senior scientific and leadership bands are described with high ranges that reinforce competitiveness at upper levels.
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Strong & Reliable Incentives — Bonuses, equity eligibility in many salaried roles, and solid sales on‑target earnings with upside are emphasized as meaningful parts of compensation. These elements boost overall value even where base pay is not the very highest.
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Retirement Support — A 401(k) program with a strong company match and immediate vesting is repeatedly cited as a standout. Generous retirement support is viewed as enhancing the total package relative to peers.
AstraZeneca Insights
What We Do
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