GCL : F
Introduction to role:
Are you ready to harness responsible AI and modern engineering to elevate global customer platforms that directly improve patient and caregiver experiences You will be responsible for the engineering strategy behind our enterprise-scale platforms in this role. You will apply healthcare pharmaceutical-focused customer engagement and data analytics cloud solutions. This will build measurable business results and real impact for those living with rare and devastating diseases.
Here you will compose how we build release and evolve capabilities guided by live signals and real-world performance. You will set the standards controls and guardrails that ensure security privacy accessibility and reliability so our teams can adapt quickly with confidence and our patients benefit. Can you envision leading a high-performing team to turn telemetry into rapid improvement and shift incidents into automation designed to avoid their recurrence
AI-Enabled Platform Delivery: Build and deliver AI-enabled capabilities across healthcare-focused clouds life sciences-specific cloud environments customer experience platforms and analytics ensuring solutions meet defined business outcomes and user performance targets.
Iterative Releases and Live Optimization: Use short delivery cycles and incremental releases to improve solutions based on live signals (support tickets telemetry user feedback) prioritizing changes that increase patient and customer value.
End-to-End Engineering Ownership: Lead the engineering lifecycle from development initiation through environment strategy branching/versioning CI/CD pipelines and release validation; make delivery repeatable audit-ready and resilient.
Standards Security and Quality Gates: Set and uphold engineering standards and quality gates for security privacy accessibility and performance inside pipelines; drive practical test automation (unit integration end-to-end) and performance checks that protect users and accelerate delivery.
AI-Assisted SDLC Enablement: Operationalize AI-assisted workflows across discovery design build test release and maintenance with defined guardrails and evaluation metrics; improve developer experience and release pace without compromising safety.
Responsible AI Rules: Define clear rules for responsible AI usedata handling model and prompt usage safety checks and traceability of AI-generated assetssuitable for audits and regulated contexts.
Embedded AI Controls: Embed AI controls in delivery and runtime including pre-release checks protection of critical data and safe use of Einstein and generative features to ensure credible outcomes.
Shared Services and Tooling Partnerships: Partner with collaborators to evolve shared services (identity consent data model governance via Data Cloud/MDM) integration accelerators and developer experience tooling that shorten time-to-value across teams.
Service Readiness and Reliability: Work with Service Delivery Managers to provide technical readiness gates risk assessments and stability plans; convert incident and problem findings into standards fixes and automation in the backlog to drive long-term reliability.
When we put unexpected teams in the same room we fuel 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 bold world.
You will join a mission-driven community where closeness to patients shapes every decision and fuels innovation that matters. We bring unexpected teams together to unleash daring thinking and apply cutting-edge technologyresponsible AI modern engineering and real-time signalsto create customer platforms that advance care for those with rare and devastating diseases. We value kindness alongside ambition encourage diverse perspectives and empower you to build solutions that are both technically excellent and deeply human connecting your work to a larger purpose.
Step into this leadership role to shape responsible AI platforms at global scale and see your impact reach patients and caregiversshare your resume to start the conversation today.
Date Posted
06-Feb-2026Closing Date
30-Mar-2026Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment training compensation promotion and other terms and conditions of employment based on race color religion creed or lackthereof sex sexualorientation age ancestry national origin ethnicity citizenship status marital statuspregnancy (including childbirth breastfeeding or related medical conditions) parental status (including adoption or surrogacy) military status protected veteran status disability medical condition gender identity or expression genetic information mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin aninteractive dialogue with Alexion regarding an accommodation please contact . Alexion participates in E-Verify.
Required Experience:
Director
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more