Senior Director, AI Business Partner – Enabling Functions
CompanyAstraZeneca
Location
Cambridge, England, United Kingdom
Employment TypeFull-time
Posted At5/4/2026
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Occupation TypeHuman resource managers and directors
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£52,900
(£27.13 per hour)
Occupation rate applies
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Description
Cambridge, UK
Competitive Salary And Benefits
Introduction to role
The AI Business Partner – Enabling Functions acts as the critical link between AstraZeneca’s core enabling capabilities and our enterprise AI agenda. Covering Legal, Procurement, Finance, Business Development, Audit, and Compliance, this position combines functional domain insight, hands-on delivery, and technical fluency to turn complex business processes into scalable AI solutions that deliver measurable outcomes. This is not a coordination role. It is a builder and owner role, working at the intersection of risk, regulation, and operational complexity to move AI from idea to impact responsibly and at pace. How will AI reshape the way we contract, spend, report, partner, audit, and stay compliant? This role exists to answer that question in practice.
Accountabilities
Lead strategy and portfolio ownership for AI across Enabling Functions, holding end-to-end accountability from roadmap definition through to value realisation. Shape and maintain a clear AI roadmap aligned to the priorities of Legal, Procurement, Finance, Business Development, Audit, and Compliance, balancing rapid experiments with longer-term transformation. Build robust business cases and value narratives that resonate with senior functional leaders, framing ROI in terms of risk reduction, process efficiency, cost avoidance, and decision quality. Embed reuse principles so that solutions built for one function can be adapted and scaled across others, maximising impact from each investment.
Act as a high-fidelity translator between business and technology, engaging functional leaders, process owners, and subject matter experts to surface unmet needs and high-value decision points where AI can drive meaningful outcomes. Translate these needs into well-scoped AI use cases with clear problem statements, success metrics, data requirements, and risk tiering, while also explaining technical constraints and possibilities in language that drives decisions. Maintain sufficient technical depth to interrogate solution designs, challenge assumptions, and ensure approaches are right-sized for sensitive domains such as contract analysis, financial modelling, or regulatory monitoring.
Drive hands-on delivery by partnering closely with enterprise AI teams and working directly with tools and data to accelerate progress. Lead r
Competitive Salary And Benefits
Introduction to role
The AI Business Partner – Enabling Functions acts as the critical link between AstraZeneca’s core enabling capabilities and our enterprise AI agenda. Covering Legal, Procurement, Finance, Business Development, Audit, and Compliance, this position combines functional domain insight, hands-on delivery, and technical fluency to turn complex business processes into scalable AI solutions that deliver measurable outcomes. This is not a coordination role. It is a builder and owner role, working at the intersection of risk, regulation, and operational complexity to move AI from idea to impact responsibly and at pace. How will AI reshape the way we contract, spend, report, partner, audit, and stay compliant? This role exists to answer that question in practice.
Accountabilities
Lead strategy and portfolio ownership for AI across Enabling Functions, holding end-to-end accountability from roadmap definition through to value realisation. Shape and maintain a clear AI roadmap aligned to the priorities of Legal, Procurement, Finance, Business Development, Audit, and Compliance, balancing rapid experiments with longer-term transformation. Build robust business cases and value narratives that resonate with senior functional leaders, framing ROI in terms of risk reduction, process efficiency, cost avoidance, and decision quality. Embed reuse principles so that solutions built for one function can be adapted and scaled across others, maximising impact from each investment.
Act as a high-fidelity translator between business and technology, engaging functional leaders, process owners, and subject matter experts to surface unmet needs and high-value decision points where AI can drive meaningful outcomes. Translate these needs into well-scoped AI use cases with clear problem statements, success metrics, data requirements, and risk tiering, while also explaining technical constraints and possibilities in language that drives decisions. Maintain sufficient technical depth to interrogate solution designs, challenge assumptions, and ensure approaches are right-sized for sensitive domains such as contract analysis, financial modelling, or regulatory monitoring.
Drive hands-on delivery by partnering closely with enterprise AI teams and working directly with tools and data to accelerate progress. Lead r
apid prototyping and proof-of-concept development using low-code and no-code platforms or in close collaboration with engineering teams, iterating quickly to validate ideas before full-scale build. Own the full solution lifecycle from pilot design through scaled deployment, adoption planning, KPI tracking, outcome measurement, and decommissioning where appropriate. Ensure robust evidence frameworks are in place to quantify value across areas such as contract cycle time reduction, audit exception detection rates, or forecast accuracy improvements.
Lead change management for AI adoption in process-critical and risk-aware environments. Partner with functional leaders to embed AI-augmented practices into day-to-day operations rather than delivering isolated pilots. Identify required process shifts in workflows, approvals, document handling, and evidence standards, ensuring they are implemented sustainably and aligned with internal controls. Navigate the cultural dynamics of Enabling Functions where professional standards and regulatory accountability shape how change is received. Support AI literacy and upskilling by working with learning and HR teams on targeted capability-building programmes tailored to each function’s risk appetite and ways of working.
Champion data, governance, and compliance as first-order responsibilities. Partner with data and technology teams to ensure data used in AI solutions is AI-ready and compliant with enterprise standards and relevant regulations such as GDPR, HIPAA, the EU AI Act, SOX controls in Finance, and legal privilege considerations in Legal. Ensure each AI use case follows the enterprise governance framework, including registry-before-scale, model and data cards, ongoing monitoring, and human-in-the-loop oversight for high-stakes decisions. Maintain alignment with quality, legal, compliance, and safety requirements throughout the solution lifecycle so that AI outputs do not create regulatory or reputational exposure.
Build and manage an ecosystem of partnerships that support Enabling Function priorities. Represent Enabling Functions in discussions with external partners such as legal technology vendors, procurement platforms, financial systems providers, and regulatory bodies. Shape pilots and joint programmes with strategic technology partners in areas like AI-assisted contract intelligence, automated spend classification, or continuous compliance monitoring. Feed market insights back into the roadmap so emerging capabilities in legal AI, procurement intelligence, or financial automation can accelerate AstraZeneca’s internal agenda.
Integrate Enabling Functions into the broader enterprise AI organisation. Serve as the primary interface between Enabling Functions and enterprise AI teams to clarify ownership, priorities, and hand-offs. Contribute actively to enterprise forums on reuse, standards, and operating model evolution by sharing lessons learned from Enabling Function deployments that others across the business can adopt.
Essential Skills/Experience
Lead change management for AI adoption in process-critical and risk-aware environments. Partner with functional leaders to embed AI-augmented practices into day-to-day operations rather than delivering isolated pilots. Identify required process shifts in workflows, approvals, document handling, and evidence standards, ensuring they are implemented sustainably and aligned with internal controls. Navigate the cultural dynamics of Enabling Functions where professional standards and regulatory accountability shape how change is received. Support AI literacy and upskilling by working with learning and HR teams on targeted capability-building programmes tailored to each function’s risk appetite and ways of working.
Champion data, governance, and compliance as first-order responsibilities. Partner with data and technology teams to ensure data used in AI solutions is AI-ready and compliant with enterprise standards and relevant regulations such as GDPR, HIPAA, the EU AI Act, SOX controls in Finance, and legal privilege considerations in Legal. Ensure each AI use case follows the enterprise governance framework, including registry-before-scale, model and data cards, ongoing monitoring, and human-in-the-loop oversight for high-stakes decisions. Maintain alignment with quality, legal, compliance, and safety requirements throughout the solution lifecycle so that AI outputs do not create regulatory or reputational exposure.
Build and manage an ecosystem of partnerships that support Enabling Function priorities. Represent Enabling Functions in discussions with external partners such as legal technology vendors, procurement platforms, financial systems providers, and regulatory bodies. Shape pilots and joint programmes with strategic technology partners in areas like AI-assisted contract intelligence, automated spend classification, or continuous compliance monitoring. Feed market insights back into the roadmap so emerging capabilities in legal AI, procurement intelligence, or financial automation can accelerate AstraZeneca’s internal agenda.
Integrate Enabling Functions into the broader enterprise AI organisation. Serve as the primary interface between Enabling Functions and enterprise AI teams to clarify ownership, priorities, and hand-offs. Contribute actively to enterprise forums on reuse, standards, and operating model evolution by sharing lessons learned from Enabling Function deployments that others across the business can adopt.
Essential Skills/Experience
The ideal candidate brings a combination of capabilities that is genuinely rare — someone who understands the operational and regulatory fabric of Enabling Functions, can hold a strategic conversation with a General Counsel or CFO, prototype a low-code solution the same week, and navigate the governance requirements that make responsible AI deployment in these functions non-negotiable.
AstraZeneca offers an environment where technology talent works side by side with scientific expertise to disrupt an industry and change lives through data, analytics, AI and machine learning; where experimentation is encouraged through hackathons and modern engineering practices; where there is real investment in learning every day through coaching, feedback and exposure to cutting-edge tools; where diverse minds collaborate across functions to solve problems that have never been tackled before; and where the impact of optimising core operations is felt directly in the ability to deliver life-changing medicines to patients worldwide.
Ready to take ownership of an AI portfolio that sits at the heart of how AstraZeneca runs? Apply now.
#EAI
Date Posted
- Domain expertise in one or more Enabling Functions — Legal, Procurement, Finance, Business Development, Audit, or Compliance — with a strong appreciation of how the others interconnect
- Hands-on experience with low-code and no-code platforms, and a genuine comfort working directly with data to explore, assess, and shape solutions
- Proven ability to translate between business process complexity and AI capability in both directions, with high fidelity and without oversimplification
- Delivery track record across complex, cross-functional programmes involving AI, automation, or digital transformation in process-intensive environments
- Strong stakeholder and change management skills, with the credibility to influence senior functional leaders who operate in risk-aware, compliance-driven environments
- Familiarity with AI governance, responsible AI principles, and the specific regulatory frameworks relevant to Enabling Functions — including data privacy, financial controls, and legal and ethical AI use
AstraZeneca offers an environment where technology talent works side by side with scientific expertise to disrupt an industry and change lives through data, analytics, AI and machine learning; where experimentation is encouraged through hackathons and modern engineering practices; where there is real investment in learning every day through coaching, feedback and exposure to cutting-edge tools; where diverse minds collaborate across functions to solve problems that have never been tackled before; and where the impact of optimising core operations is felt directly in the ability to deliver life-changing medicines to patients worldwide.
Ready to take ownership of an AI portfolio that sits at the heart of how AstraZeneca runs? Apply now.
#EAI
Date Posted
04-May-2026
Closing Date
18-May-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.
Closing Date
18-May-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.