Senior Director, Enterprise AI Enablement

Fortrea•Durham, CA

1d•$145,000 - $190,000

About The Position

The Senior Director, Enterprise AI Enablement establishes, governs, and scales artificial intelligence capabilities across Fortrea. As the enterprise leader for AI adoption, AI literacy, Responsible AI governance, and the operating framework for deploying AI and Agentic AI solutions, this role ensures capabilities are adopted responsibly, securely, ethically, and in alignment with business objectives, regulatory requirements, and technology standards. Working with executive leadership and cross-functional partners—including Enterprise Architecture, Information Security, Legal, Compliance, Data & AI, Human Resources, and Technology—the role drives AI awareness, workforce readiness, organizational adoption, and governance. The Senior Director develops enterprise AI strategy, governance models, policies, standards, operating procedures, adoption frameworks, learning programs, and deployment models. The role also establishes oversight and guardrails for autonomous and semi-autonomous AI agents, tracks enterprise AI capabilities and outcomes, manages strategic vendor relationships, and leads the team responsible for AI governance, adoption, literacy, and enablement. This position serves as a trusted advisor to executive leadership, communicates AI concepts and program outcomes to technical and non-technical audiences, and supports enterprise transformation and value realization. Work is performed in an office environment, with occasional travel to site locations and occasional domestic and international travel. Varied hours may be required.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Business Administration, Data Science, Artificial Intelligence, or a related field; relevant equivalent experience and successful project outcomes may be considered in lieu of education.
12+ years of progressive leadership experience in technology, digital transformation, data, AI, enterprise governance, change management, or related disciplines.
7+ years of experience leading enterprise-wide strategic programs, governance initiatives, or technology transformation efforts.
Demonstrated experience establishing governance frameworks, operating models, and organizational enablement strategies.
Experience leading change management and adoption initiatives across large organizations.
Proven ability to influence executive stakeholders and drive enterprise transformation.
Experience managing cross-functional teams and organizational capability-building initiatives.
Strong understanding of Artificial Intelligence, Generative AI, Responsible AI, and emerging technology trends.

Nice To Haves

Master’s degree in Business Administration, Data Science, Artificial Intelligence, Information Systems, or a related discipline.
Experience with Microsoft Copilot, Azure OpenAI, Azure AI Foundry, Microsoft Fabric, and Power Platform.
Experience establishing AI governance, Responsible AI, or Digital Transformation programs.
Experience in healthcare, life sciences, CRO, or regulated environments.
Professional certifications related to AI, cloud technologies, change management, or project leadership.

Responsibilities

Develop and execute Fortrea’s enterprise AI enablement strategy and multi-year roadmaps aligned with business objectives and technology priorities.
Establish frameworks for AI adoption, workforce readiness, value realization, and organizational transformation.
Drive enterprise-wide adoption of AI capabilities across business functions, technology teams, and operational organizations.
Identify opportunities for AI to improve productivity, operational efficiency, innovation, and business outcomes; advocate for responsible AI adoption.
Establish and maintain enterprise AI governance frameworks, policies, standards, and operating procedures.
Develop Responsible AI practices covering transparency, accountability, explainability, risk management, and human oversight.
Partner with Information Security, Legal, Compliance, Privacy, Risk Management, and Enterprise Architecture to support compliance with applicable requirements.
Define AI intake, review, approval, deployment, monitoring, and lifecycle-management processes; facilitate governance councils and executive oversight forums.
Monitor AI-related risks and develop mitigation frameworks for safe and responsible deployment.
Establish enterprise AI literacy and learning strategies, including role-based education for executives, managers, technical teams, and general employees.
Drive AI awareness and adoption through communications, learning programs, workshops, and change management; measure literacy, adoption, and organizational readiness.
Lead development of enterprise Agentic AI deployment, governance, and oversight frameworks, including standards and controls for autonomous and semi-autonomous agents.
Establish Agentic AI deployment guardrails and governance models for approval, monitoring, auditing, and ongoing management.
Partner with Architecture, Security, Engineering, and Product teams to align Agentic AI solutions with enterprise requirements and assess valuable use cases.
Maintain visibility of enterprise AI capabilities, platforms, tools, services, and strategic initiatives; establish processes for intake, prioritization, assessment, and adoption.
Partner with Data & AI leadership on capability expansion and optimization, support technology investment decisions, and report on utilization, adoption, maturity, and business impact.
Lead enterprise change management and establish operating models that support long-term AI enablement and governance.
Foster innovation, responsible technology use, continuous learning, and cross-functional alignment across Data, AI, Human Resources, Compliance, Technology, and business organizations.
Support AI enablement budgets and business cases; govern strategic relationships with AI platform providers and evaluate vendors and products for alignment with enterprise objectives.
Monitor investment effectiveness and value realization associated with enterprise AI initiatives.
Build, lead, coach, and develop the AI governance, adoption, literacy, and enablement team; manage performance, career development, workforce planning, talent acquisition, and succession planning.
Advise executive leadership on AI strategy, governance, adoption, and organizational readiness; prepare executive updates and facilitate steering committees, governance councils, and oversight forums.
Communicate complex AI concepts to technical and non-technical audiences and represent the AI enablement strategy in enterprise planning, transformation, and governance activities.