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Senior Director, Innovation and Commercial AI Enablement

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteSeniorTeam 10,001+Since 2010H1B No SponsorCompany Site LinkedIn

Location

California

Posted

34 days ago

Salary

$207.8K - $277.8K / year

Seniority

Senior

Postgraduate Degree10 yrs expEnglishCloud

Job Description

• Lead the design, scaling, and adoption of AI-driven solutions across Commercial and Medical Affairs functions • Act as a senior thought partner to Commercial and Medical functional leaders • Drive adoption of AI-driven tools by embedding them into workflows, processes, and decision forums • Create a strategic roadmap for high value, high impact AI capabilities • Translate enterprise AI strategy into prioritized roadmaps • Oversee the evaluation, refinement, and performance monitoring of AI models • Lead the design, development, and scaling of AI-driven platforms and solutions • Own and manage a portfolio of AI and innovation initiatives • Establish clear success metrics and governance mechanisms to track • Lead and mentor multiple teams of data scientists, AI engineers, and other technology functions • Stay abreast of emerging AI methodologies, tools, and platforms • Collaborate with external partners, vendors, and internal centers of excellence as needed

Job Requirements

Master’s or PhD in AI, Engineering, Data Science, Statistics, Computer Science, or a related quantitative field
10+ years of experience in data analysis, AI, advanced analytics, data science, or related disciplines
Experience operating in regulated industries (life sciences, healthcare, pharma preferred)
Proven experience leading complex, cross-functional AI initiatives from concept through enterprise-scale deployment
Strong analytical skills with the ability to work with complex datasets, interpret trends, and translate analytical outputs into clear business insights
Strong working knowledge of generative AI, Retrieval-Augmented Generation (RAG), and agentic AI approaches
Experience guiding teams using NLP, machine learning, deep learning, and predictive analytics across structured and unstructured data
Familiarity with modern AI and data platforms (e.g., cloud environments, Databricks, Snowflake, vector databases, AI orchestration frameworks)
Ability to evaluate AI architectures and trade-offs without needing to be the primary hands-on developer
Strong business acumen and deep understanding of commercial market data, with the ability to translate business needs and market insights into scalable AI-enabled solutions
Demonstrated ability to translate complex AI concepts into business-relevant insights and recommendations
Strong stakeholder management and influencing skills across senior business, medical, and technology leaders
Excellent communication and executive storytelling skills.