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.