Associate Director, Generative AI

Role Summary

Associate Director, Generative AI will lead building Generative AI solutions and define the product roadmap for in-house AI capabilities, deploying Gen AI across commercial functions. Based in Parsippany, NJ; Foster City, CA; or Raleigh, NC, and reporting to the Senior Director, Data Science – AI & Optimization. This role drives Gen AI initiatives across marketing, sales, and strategy, ensures alignment with regulatory frameworks (e.g., EU AI Act) and ethical standards, and establishes enterprise AI governance. It is an individual contributor role supported by offshore data scientists, with occasional travel.

Responsibilities

• Gen AI strategy and solution development
  • Lead the development of Gen AI and AI capabilities by bringing in sustainable methodologies
  • Assist business owners with AI procurement (buy) initiatives alongside IT and lead technical feasibility discussions for commercial.
  • Partner with other functions (GCO and business owners when different) to support the governance of AI and Tech integration of futuristic AI solutions.
  • Pressure test explainability, sustainability, and roadmap for model evolution of external solutions.
  • Manage and work with IT on choice of platform, and design for internally built solutions.
• Cross-functional AI initiatives
  • Work with EDSC to plan and develop cross-functional use cases and act as point of contact for commercial on AI policy and governance workstreams.
  • Liaise with affiliates (US and ex-US) to understand the different AI requirements and help shape AI use cases, be the SME for AI use cases with all the affiliates and support by pressure testing build or buy from a data science standpoint.
  • Partner with GDI and US teams in supporting AI rollouts and manage the sustainability of AI products.
  • Bring in industry-wide best practices in DS and AI focusing on commercial use cases and work with EDSC on training and tools work streams.
  • Lead the content for AI literacy as a member of the EDSC working group and assist in bridging commercial-specific content.

Qualifications

• Required: Bachelor's Degree and Ten Years’ Experience
• Required: Masters' Degree and Eight Years’ Experience
• Required: PhD and Two Years’ Experience
• Preferred: Bachelor’s degree with 10+ years, or Master’s degree with 8+ years, or PhD with 6+ years of relevant data science / analytics / computer science / development experience.
• Preferred: Proven success in deploying Gen AI solutions in commercial settings.
• Preferred: Experience scaling AI products and platforms from pilot to production.
• Preferred: Excellent communication skills and ability to navigate the organization while simplifying the complexity in the AI space.

Skills

• Technical Skills: Expertise in developing Gen AI (e.g., LLMs, GANs) products for insights & content generation.
• Proficiency with cloud platforms (e.g., AWS, Databricks).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of AI-related regulatory frameworks (e.g., HIPAA, GDPR, FDA, EU AI Act).
• Non-technical Skills: Recognized as a credible data science expert and partner to commercial and cross-functional teams; mentoring and training capabilities; strong written and verbal communication; stakeholder management and leadership.
• Competencies: Structured Problem Solving; Collaborative Influence; Results Orientation; Strategic; Measurement-Driven; Enterprise Thinking.
• Additional: Proven ability to scout, evaluate and pilot external AI solutions.

Education

• Education: Bachelor's degree required; advanced degrees (Master’s or PhD) preferred.

Additional Requirements

• Travel: Occasional travel to global locations may be required.