Director, Global Customer Platforms Engineering

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 use—data handling, model and prompt usage, safety checks, and traceability of AI-generated assets—suitable 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.

• 12+ years in software/product engineering with 5+ years leading Salesforce-centric platforms (Health Cloud, Life Sciences Cloud, Experience Cloud, Marketing Cloud, Analytics); healthcare or pharmaceutical experience strongly preferred.
• Validated application of AI in the Salesforce SDLC (code generation, test automation, documentation synthesis, incident triage) with measurable cycle-time and quality improvements; familiarity with responsible AI practices.
• Hands-on with Apex, Lightning Web Components, Flows, SOQL, platform events; integration via MuleSoft/APIs; CI/CD with development coordinated through version control; observability via Event Monitoring/Health Check; performance tuning and governor-limit management.
• Strong grasp of secure development (OAuth/JWT, field-level security, Shield encryption), privacy-by-design (consent, data minimization), accessibility, audit readiness, and validated environments when applicable.
• Track record of translating insights into shipped features with real impact; portfolio or examples showing attention to design, usability, and HCP/patient-centric workflows.
• Ability to engage commercial collaborators, field users, PSPs, and MLR partners to shape roadmap and drive adoption.
• Judgment, creativity, resilience in ambiguous, fast-paced environments; operates as a builder who prototypes and ships—not just writes specs.

• Leadership of global engineering teams delivering customer platforms at enterprise scale.
• Salesforce Certified (e.g., Platform Developer I/II, Health Cloud, Service Cloud, Experience Cloud, Integration Architect, Application Architect/System Architect).
• Background in supervised healthcare and life sciences contexts, with validated audit readiness across privacy, security, and accessibility.
• Proficiency with CI/CD tools, pipeline security, and test automation frameworks; expertise in performance engineering at scale.
• Practical experience implementing responsible and generative AI guardrails, model evaluation, prompt design, and safe data handling.
• Familiarity with identity and consent management, master data management, and data model governance practices.
• Ability to convert production telemetry and incidents into automation, standards, and patterns; experience with SRE practices and stability engineering.
• Strong collaborator partnership skills, translating business outcomes into technical roadmaps and measurable impact.

When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're 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 technology—responsible AI, modern engineering, and real-time signals—to 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 caregivers—share your resume to start the conversation today.

Date Posted

Closing Date

Alexion 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 lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (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 an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify.