AI Science Innovation Strategy Lead

Were building a connected end-to-end Enterprise AI engine - uniting data foundations AI technology process reinvention and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: youll 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 not just innovation - youll have the platform (and sponsorship) to make it real.

About the team

AI Strategy & Innovation (AISI) sits at the centre of AstraZenecas R&D AI transformation. Our remit is to transform pipeline outcomes across discovery translational science biomarkers and clinical development. AISI is organised around an AI Centre of Excellence an AI Frontier research function an Operations spine and a Strategy group.

This role sits in Strategy. We drive the strategy that shapes the frontier: setting direction across the four scientific pillars brokering external partnerships running competitive intelligence and building R&Ds AI literacy. The work moves the portfolio.

Role summary

This role works at the intersection of business science and AI. You find where AI can solve real business problems and shape the right solution given the science and the data.

You own the strategy with the science and engineering teams. You go deep on the area work out what data and AI solutions exist decide the plan and drive execution.

Our principle: you cannot own a strategy you do not understand. The facts constraints and opportunities have to be yours before any plan is worth the paper. This role demands serious learning agility and a default to collaboration. Not authoring from a distance.

The bar is high. We need someone who can:

• Sit with a senior R&D scientific leader and understand the disease asset and decision in front of them.
• Hold their own with AI engineers on foundation models generative chemistry and agentic systems.
• Translate both into a sequenced AI bet that gets funded and shipped.
• Most strong candidates clear one. Some clear two. We are hiring for the few who clear all three. Many stakeholders are new to modern AI; bringing them along without dumbing down or overselling is the hard part.
  

What you will own

• Read the business and the science. Cover an area deeply enough that scientific leaders treat you as a peer. Spot the AI bets that move pipeline decisions not the ones that look clever in a deck.
• Shape the solution before delivery starts. Survey what exists internally and externally. Decide what to build buy or partner for. Pressure-test the data. Define the plan.
• Bring stakeholders along. Turn curiosity into committed sponsorship.
• Set strategy and run partnerships. Co-author the rolling AISI strategy across the four scientific pillars. Run diligence and deal-shaping with external partners; hand them over so AISI can execute.
• Tell the story. Narratives decks and investment cases for AISI R&D leadership and external audiences.
  

What you bring

Essential

• Advanced degree in a quantitative or life-sciences discipline. PhD preferred.
• 5 years across AI/ML and / or life sciences with time owning strategy capability or partnership decisions.
• Working fluency in modern AI/ML foundation models and agentic systems. Enough to set direction and pressure-test partner claims.
• Experience translating AI into drug discovery translational science biomarkers clinical development regulatory or RWD with concrete impact.
• Learning agility. You pick up a new disease area modality or AI capability fast enough to lead the conversation inside three months. References will back this up.
• A default to collaboration. You build understanding by sitting with the people who hold the knowledge.
• Track record of bringing AI-nascent stakeholders along without patronising them.
• Sharp opportunity-spotting. You see the AI bet that creates outsized impact not just the novel one.
• Matrixed global organisation no direct reports. You influence through clarity and momentum.

Desirable

• Time inside a pharma R&D AI function AI-native biotech or similar.
• Familiarity with foundation models for biology and chemistry.
• Working knowledge of GxP AI/ML regulatory expectations and responsible-AI frameworks.
  

Why this role

One of the highest-leverage seats in AZs R&D transformation. Get this right and AZ ships better medicines sooner.

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.

The annual base pay for this position ranges from $-Annual USD. 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 to participate in our equity-based long-term incentive program. Benefits offered include a qualified retirement program 401(k) plan; paid vacation and holidays; paid leaves; and health benefits including medical prescription drug dental and vision coverage in accordance with the terms and conditions of the applicable plans.
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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.