Senior Legal AI & Analytics Specialist, Legal Operations

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. Position Summary: We are seeking a hands-on Senior Legal AI & Analytics Specialist to serve as the Legal department's AI technologist, legal technology owner and analytics lead within the Legal Operations Team. In this role, you will translate Legal's AI priorities into secure, governed and well-adopted solutions, and turn Legal's operational and financial data into insight leaders can act on. You will configure and support enterprise AI and legal-tech platforms, build and maintain approved agents, assistants, prompts and automated workflows, and own Legal's reporting and dashboards, including outside counsel spend and accruals, budget versus actuals, matter and contract cycle time, intake volumes and AI adoption. You will work closely with the Legal AI COE, the Chief AI Officer's Enterprise AI team, IT, Information Security, Privacy, Finance, Procurement and the architecture/AI review board. The ideal candidate brings practical generative-AI and legal-technology experience, strong BI and financial-analysis skills, and a firm grasp of AI governance and data quality, with the ability to give the Chief Legal Officer and the Legal Leadership Team one trusted view of performance and of the value delivered by the Legal Ops Team. Key Responsibilities: • AI & Legal-Tech Roadmap: Run the Legal AI and legal-technology roadmap with the Legal Ops COE Lead and the Legal AI COE: define requirements, sequence use cases and deliver measurable outcomes. • Solution Evaluation: Coordinate evaluation, selection and onboarding of AI and legal-tech solutions. Prepare intake documentation and manage reviews with Privacy, Information Security, Information Governance, Procurement and the AI review board. • Platform Administration: Configure, administer and support Legal's AI and legal-tech platforms (for example Microsoft 365 Copilot and Copilot Studio, the Enterprise AI Portal, CLM, e-billing and knowledge repositories): access, permissions, integrations, testing, releases, issue resolution and vendor management. • Development and Testing: Build, test, document and maintain AI agents, assistants, prompt libraries and automated workflows for approved Legal use cases, such as a policy navigator, contract playbooks, NDA/CDA triage, legal intake assistance and knowledge search. • Responsible AI Controls: Put in place human-review controls, logging, data-classification and retention requirements, and quality and accuracy testing in line with Illumina's AI policies and applicable regulations. • Content Readiness & Adoption: Make Legal content AI-ready through template governance, clause and playbook libraries, document organization and metadata. Drive adoption through training, office hours, champions enablement, user guides and AI best-practice communications. • Dashboards & Reporting: Build and maintain Legal KPI/KRI dashboards and recurring reports in Power BI, Excel or comparable tools, drawing on e-billing (CounselLink), procurement (Ariba), CLM (Icertis), ERP/finance, intake and survey data. • Spend, Budget & Rate Analytics: Produce monthly outside counsel spend, accrual-support and budget-variance analytics, and support the annual budget and forecast process with Finance. Analyze law-firm rates, staffing and invoices to support rate governance, fee-offer review, billing-guideline compliance, preferred-provider decisions and firm performance scorecards. • Data Quality & Operational Metrics: Define metric definitions, a data dictionary and data-quality rules, and partner with system owners to fix data gaps and standardize taxonomies (matter types, practice areas, vendors). Measure contract and matter cycle times, throughput, bottlenecks and workload to support resource planning. • Monitor and Measure Success: Maintain an AI use-case inventory and report usage, adoption, time saved and value realization. Support benchmarking against CLOC, Gartner and peer data, and analyze stakeholder satisfaction and workload surveys. • Executive Communication & Market Awareness: Prepare clear, executive-ready visualizations and narratives for leadership meetings and board materials as requested. Track the legal-AI market, vendor roadmaps and enterprise platform changes, and recommend fit-for-purpose options that avoid shadow AI and duplicate tools. Qualifications: • Technical Skills: 5+ years implementing, configuring or supporting enterprise SaaS, legal-technology, knowledge-management, workflow-automation or business intelligence platforms, including 2+ years of hands-on work with generative AI. • AI Expertise: Practical experience with large language models, agent and assistant configuration, prompt design, retrieval and grounding, and evaluation and testing of AI outputs. • Analytics Skills: Advanced Excel (pivot tables, Power Query, lookups) and hands-on dashboard development in Power BI (DAX/data modeling) or Tableau, with experience extracting, reconciling and validating data from e-billing, procurement, ERP or contract systems. • Integration & Security: Understanding of integration concepts (APIs, connectors, data pipelines) and of identity and access management, including SSO and role-based permissions. • Governance & Data Quality: Experience supporting technology governance, risk, privacy or security reviews and enter