Director of AI Strategy, Architecture and Solutions

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Location San Diego, CA. Not a remote role. Position Summary The Director, Strategy, Architecture and Solutions owns the front half of the enterprise AI lifecycle: from business intent to a designed, architected, and validated solution ready for Engineering and Delivery to build. This leader is the single point of accountability for what the function builds and why: how opportunities are surfaced and prioritized, how they are shaped into secure and scalable architectures, how they are proven through solution engineering and prototyping, how they are designed for adoption, and how their value is defined and tracked into the P&L. The role sits between the business and the build. It holds enough technical depth to set architecture standards, decide build versus native platform capability (Salesforce, SAP, Databricks, AWS and Bedrock, the Illumina Digital Workforce platform), and hand Engineering a design that survives contact with production. Four capabilities report into it: Business Partners, Architecture, Solution Engineering, and Experience (UX/UI). This is a leadership role, not a project management role. Success is measured by the quality of the portfolio entering build, the reuse of approved patterns, adoption of what ships, and the credibility of the AI function with senior business leaders. Vendor and commercial management sits with the Director, Governance, Trust and Vendors; this role is the primary internal customer of that function. Responsibilities Strategy and Business Partners Own the AI strategy and roadmap for the enterprise portfolio: where the function invests, in what sequence, and against which enterprise priorities, refreshed on an annual planning cadence with quarterly adjustments. Own the business partner model across all functions (Commercial, Finance, Global Operations, Manufacturing, HR, Service, Legal, Corporate) and act as the escalation point for enterprise AI demand. Run a structured intake and demand shaping process: capture, qualify, and prioritize AI opportunities against enterprise criteria rather than first come, first served. Build and defend the value case for every funded initiative: baseline, benefit hypothesis, quantification method, owner, and realization timeline. Partner with Finance to move benefits from slideware into the P&L, agreeing the treatment (cost avoidance, cost takeout, revenue enablement, capacity release) before build starts. Track realized value post go-live and report it on a fixed cadence to the VP, the CIO, and functional leadership. Feed recommendations into the AI Council and drive cross-business-unit reuse so the same capability is not built twice. Maintain the executive narrative: portfolio status, value delivered, risks, and asks, in a form ready for CIO and executive committee consumption. De-scope or stop initiatives that no longer clear the value bar, and make that case credibly to the sponsoring business leader. Architecture Own the enterprise AI architecture: principles, reference architectures, reusable patterns, technology standards, and decision records for agents, AI products, data flows, integrations, and cloud services. Own the build versus native decision framework: when a capability belongs in Salesforce, SAP, Databricks, or another platform's native AI, and when it belongs on the Illumina Digital Workforce platform. Document and defend each decision. Define integration and connector standards so agents and solutions consume enterprise data and systems through approved, governed paths rather than point-to-point builds. Run the architecture review process for prioritized initiatives, with clear entry and exit criteria, and hold the right to block designs that do not meet standards. Ensure architectures support observability, resilience, secure data handling, responsible AI controls, performance, cost efficiency, and lifecycle management from the first design, in partnership with the Director, Governance, Trust and Vendors. Partner with the Data organization and Enterprise Architecture on data platform, master data, and integration decisions that AI solutions depend on. Maintain a pattern library and target the majority of new solutions being assembled from approved patterns rather than designed from scratch. Solution Engineering Own the Discover and Design stages of the lifecycle: translate qualified opportunities into scoped, feasible, and architected solution designs. Lead feasibility assessment and rapid prototyping to prove technical viability, data readiness, and user fit before an initiative is funded for full build. Produce the build-ready package for each initiative: solution design, integration map, data requirements, non-functional requirements, acceptance criteria, and adoption plan. Own the handoff into Engineering and Delivery, and stay accountable for design intent through build, including design reviews, trade-off decisions, and production readiness sign-off. Decompose designs with Engineering into executable roadmaps and resolve trade-offs across speed, cost, security, scalability, and maintainability. Intervene directly on the highest-risk or highest-visibility solutions from proof of concept through first production release. Build engineering leverage by promoting modular components, shared services, and cross-business-unit reuse over one-off implementations. Experience (UX/UI) Lead the UX function (UX lead and designers) covering research, interaction design, visual design, and content design for all AI products and agents. Establish and enforce a single enterprise AI design system: components, patterns, accessibility standards, and conversational and agentic interaction guidelines. Embed user research into the lifecycle: discovery interviews, usability testing, and post-launch behavioural analysis, with findings that change the product rather than decorate the deck. Set adoption as a design requirement. Own the definition of a usable release and hold the right to flag releases that will not be adopted. Partner with Engineering and Delivery so design intent survives implementation, and with Adoption and Change so training reflects the shipped experience. Ensure accessibility, inclusive design, and multi-region usability across the global user base. Leadership and Cross-Functional Lead, coach, and develop a multi-geography team spanning business engagement, architecture, solution engineering, and design. Set objectives, performance standards, and career paths for direct reports and their teams. Operate as a peer to the Directors of Adoption and Change, Engineering and Delivery, and Governance, Trust and Vendors, resolving trade-offs without escalation whe