Principal, Enterprise AI Platform & Strategy | Onsite San Diego HQ
San Diego, CA - USA
Job Summary
Neurocrine Biosciencesis a leading biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering developing and commercializing life-changing treatments for patients with under-addressed neurological psychiatric endocrine and immunological disorders. The companys diverse portfolio includes FDA-approved treatments for tardive dyskinesia chorea associated with Huntingtons disease classic congenital adrenal hyperplasia hyperphagia in Prader-Willi syndrome endometriosis* and uterine fibroids* as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For more than three decades we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve brave science. For more information visit and follow the company onLinkedInX Facebook and YouTube. (*in collaboration with AbbVie)
AI Platform Leadership & Product Ownership
Owns the strategy roadmap and lifecycle for Neurocrines AI/ML platformsincluding model orchestration RAG pipelines embeddings services prompt governance vector search and model performance monitoring.
Leads evaluation selection and integration of foundation models third-party AI services and emerging technologies to support enterprise AI use cases.
Defines platform requirements success metrics technical capabilities and prioritization aligned with business value and risk considerations.
Develops ROI models for AI use cases and builds executive presentations and updates
Enterprise AI Strategy & Advisory
Serves as the companys primary AI technical SME advising leadership and cross-functional teams on AI feasibility solution patterns risks and architectural alignment.
Partners with business units to shape AI concepts into actionable initiatives ensuring platform capabilities and governance frameworks are consistently applied.
Identifies new opportunities for scalable AI adoption across functions proactively recommending platform enhancements and enterprise best practices.
Responsible AI Governance & Compliance
Leads the development and ongoing stewardship of Neurocrines Responsible AI governance framework including council facilitation policy creation risk assessments and guardrails for safe and compliant use of AI technologies.
Partners with Legal Cybersecurity Data Privacy Tech Enablement & Adoption and Compliance to ensure platform standards meet regulatory ethical and organizational requirements.
Defines operational readiness and auditability criteria for AI-enabled solutions across the enterprise.
Cross-Functional Program Execution
Drives the end-to-end execution of AI and platform initiativesrequirements dependency management engineering coordination release readiness and enterprise rollout.
Orchestrates work across engineering data cybersecurity infrastructure and product teams to deliver integrated scalable and secure platform capabilities.
Implements and reinforces Agile/Scrum practices to improve transparency delivery velocity and alignment across multi-team programs.
Identifies and mitigates platform bottlenecks or risks related to scalability security cost or developer experience.
Continuously evaluates industry trends to recommend platform evolutions that improve long-term sustainability and enterprise value.
Platform Health Telemetry & Continuous Improvement
Establishes and monitors platform KPIsincluding availability performance adoption SLOs usage patterns and business impactto guide roadmap and operational improvements. Key areas include:
Business impact (time saved revenue uplift cycle time reduction etc.)
Quality of Response (Accuracy hallucination rate latency quality etc.)
Management of usage and tokenization optimization
Identifies and mitigates platform bottlenecks or risks related to scalability security cost or developer experience.
Continuously evaluates industry trends to recommend platform evolutions that improve long-term sustainability and enterprise value.
Collaboration With Technology Enablement & Adoption
Partners closely with the Technical Enablement & Adoption Manager to ensure consistent onboarding training and communication for new AI capabilities.
Contributes subject-matter expertise to enablement content adoption campaigns and enterprise trainingwithout serving as the primary owner of these functions.
Bachelors degree in Computer Science Information Technology or related field or equivalent combination of education and experience
PMP certification (or in progress) strongly preferred
10 years of relevant experience including a combination of education and professional experience in IT or related disciplines ideally within the pharmaceutical industry or similar regulated environment
Working knowledge of enterprise AI components:
RAG pipelines
Embedding services
LLM orchestration and evaluation
Prompt governance
Model performance monitoring
Understanding of foundation models vector databases third-party AI services and AI safety/responsible AI concepts
Experience delivering automation frameworks integration platforms and reusable services
Understanding of telemetry observability SLOs performance tuning and platform reliability practices
Familiarity with data privacy security requirements and governance frameworks
Understanding of platform governance modelsAPI lifecycle versioning access policies auditability
Ability to define platform vision multi-year roadmaps and measurable KPIs
Experience evaluating emerging technologies and making strategic recommendations
Strong ability to drive complex multi-team initiatives with clarity and momentum
Skilled at influencing without authority across engineering data cybersecurity and business stakeholders
High-quality communication (written verbal executive-level summarization)
Expert in Agile/Scrum delivery backlog management milestone tracking and risk mitigation
Demonstrated ability to run end-to-end program lifecyclesrequirements prioritization delivery rollout and adoption
Skilled in structured decision-making and cross-functional alignment
Ability to translate ambiguous business needs into actionable technical roadmaps
Strong analytical mindset with a bias toward data-driven decisions
Comfortable using metrics/telemetry to diagnose issues and measure outcomes
Experience driving enterprise-wide adoption onboarding and training
Able to facilitate complex discussions manage competing priorities and resolve blockers
Neurocrine Biosciences is an EEO/Disability/Vets employer.
We are committed to building a workplace of belonging respect and empowerment and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications dont line up to exactly what we have outlined in the job description.
The annual base salary we reasonably expect to pay is $132700.00-$182000.00. Individual pay decisions depend on various factors such as primary work location complexity and responsibility of role job duties/requirements and relevant experience and addition this position offers an annual bonus with a target of 30% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match) paid vacation holiday and personal days paid caregiver/parental and medical leave and health benefits to include medical prescription drug dental and vision coverage in accordance with the terms and conditions of the applicable plans.
About Company
Neurocrine Biosciences is dedicated to providing breakthrough treatments for patients in need with rare and under-addressed diseases.