Associate Director, AI Operations & Enablement

Flagship Pioneering, Inc.•Cambridge, MA

About The Position

The Enterprise AI team sits within Flagship's Information Technology organization and is responsible for AI strategy, governance, tooling, and enablement across the Flagship ecosystem. The team works cross-functionally within IT, Legal, Finance, HR, Communications, and the firm's business and scientific functions to ensure AI is adopted safely, responsibly, and with measurable impact. Flagship is hiring an Associate Director, AI Operations & Enablement to accelerate the impact of the Enterprise AI function. Reporting to the Senior Director, AI Transformation Lead, this person 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. This is an inaugural role on a small, high-visibility team. The successful candidate will operate as a senior individual contributor with broad cross-functional reach, partnering closely with developers, scientists, and business leaders. The role is execution-heavy and ideal for someone who has led enterprise AI programs in a consulting or in-house capacity and is energized by building a function from the ground up.

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.
Use case portfolio management. 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.
Bachelor's degree in a technical, business, or scientific field.

Nice To Haves

Prior experience in life sciences, biotech, or healthcare; comfort with the regulatory and IP-sensitivity considerations of these sectors.
Experience administering Claude Enterprise, ChatGPT Enterprise, or M365 Copilot at scale.
Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and GxP / research integrity considerations.
Experience with MCP servers, agentic platforms, and AI workflow automation tools (Zapier, Workato).

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.
Design and execute AI learning programs across the company that drive adoption while shaping responsible, secure, and cost-effective use of AI.
Build and oversee operations for the AI change champion network to scale AI adoption.
Develop reusable AI enablement assets and partner with Communications and Learning & Development to amplify.
Provide hands-on coaching to teams adopting AI tools across the business.
Provide support on AI tool evaluation, procurement, and lifecycle management across enterprise-wide and function-specific applications.
Support ownership, administration, and governance of core enterprise AI platforms, including settings configuration, feature rollout, internal communications, and ongoing user support.
Support vendor relationships and contracts in partnership with Procurement and Legal; track usage, license utilization, and consumption against contracted commitments.
Coordinate with InfoSec on AI-specific risk reviews, ZDR posture, agentic sandbox governance, and shadow AI monitoring.
Maintain the AI tool intake and approval process and the AI Product / Use Case records in Flagship's GRC system of record.