Associate Director, AI Operations & Enablement

About the role

The Associate Director, AI Operations & Enablement will accelerate the impact of the Enterprise AI function at Flagship Pioneering. Reporting to the Senior Director, AI Transformation Lead, this role will own day-to-day execution across three core capability areas: AI education and capability building, AI strategy and use case portfolio management, and AI tool and vendor management.

Responsibilities

• Translate Flagship's enterprise AI strategy into function-level execution by partnering with leaders across the firm on AI roadmap creation and delivery.
• Run a regular cadence of engagement with each business and scientific function to surface, intake, and prioritize use cases.
• Partner with the AI engineering team to shape use cases, supporting use case owners in identifying the right data, technology, and stakeholders for efficient and effective design.
• Track use case value/ROI throughout the life cycle and for the AI program overall.
• Drive solution reuse across functions by maintaining visibility into what has been built, by whom, and what is reusable.
• Operate the AI Operational Governance Forum by surfacing relevant AI product, feature, and use case developments and supporting decision-making and tracking around risk management.
• Support the evolution of Flagship’s AI strategy, policies, and roadmap by staying up to date on relevant industry trends and internal needs.

Requirements

• At least 5 years of progressive experience in technology, AI, digital transformation, or management consulting roles, including meaningful recent experience leading enterprise AI, digital, or technology enablement initiatives.
• Hands-on AI fluency.
• Power user of leading LLM platforms (Claude, ChatGPT, Gemini) with practical understanding of capabilities, limitations, and appropriate use by task type.
• Comfortable rapidly prototyping with low-code tools and AI features.
• Agentic AI fluency. Working understanding of agentic AI concepts and current capabilities, including autonomous and long-running agents, multi-step tool use, MCP and connector ecosystems, and human-in-the-loop design patterns. Able to evaluate where agentic approaches are appropriate, where they introduce risk, and how to deploy them safely.
• Demonstrated experience running structured intake, prioritization, and ROI tracking processes for AI or digital initiatives across a federated organization.
• Vendor and tool management. Experience evaluating, contracting, and administering enterprise SaaS, ideally including AI/LLM platforms. Comfort working with Procurement, Legal, and InfoSec on contract review, DPAs, and risk assessments.
• Enablement and program delivery. Track record running training programs, hackathons, or change management initiatives for non-technical audiences at scale.
• Cross-functional execution. Demonstrated effectiveness operating without direct authority across IT, InfoSec, Legal, Finance, HR, and business stakeholders.
• Communication. Strong written and verbal communication; able to translate between technical and business audiences and produce executive-ready materials.
• Client-facing experience. Previous experience in a client-facing consulting, customer success, or IT business partner role.

Qualifications

• Bachelor's degree in a technical, business, or scientific field.

Skills

• Agentic AI fluency.
• Vendor and tool management.
• Enablement and program delivery.
• Communication.
• Client-facing experience.