Director, AI Governance & Portfolio

Enlyte•UNAVAILABLE, UNAVAILABLE

1d•Remote

About The Position

The Director, AI Governance & Portfolio is responsible for establishing and maturing the governance, portfolio management, and operating rhythms that enable responsible, scalable AI adoption across Enlyte. This leader will own the enterprise AI governance framework and the authoritative AI portfolio view, ensuring AI investments are intentional, compliant, measurable, and aligned to business outcomes. This role will operate within Enlyte’s hybrid federated AI model, partnering closely with business-unit AI Catalyst leads, Legal, Compliance, Information Security, Privacy, Finance, data science, engineering, and executive stakeholders. The position begins as a senior individual contributor with a clear trajectory to build and lead a dedicated function as governance and portfolio capabilities mature. This role begins as a senior individual contributor with trajectory to build and lead a dedicated team as the function matures.

Requirements

Bachelor’s degree in Computer Science, Data Science, Information Systems, Business, or related field, or equivalent practical experience.
Experience building or operating governance, risk, data, technology, AI/ML, or portfolio management functions.
Familiarity with responsible AI practices and frameworks such as NIST AI RMF, ISO 42001, EU AI Act concepts, or similar models.
Working knowledge of AI/ML use case frameworks, business case development, delivery concepts, model development, evaluation frameworks, monitoring, drift detection, human oversight, and production readiness.
5+ years in technology, data, AI/ML, risk, governance, or portfolio-management roles, with experience building or maturing enterprise capabilities.
Proven ability to drive alignment across business, technical, legal, compliance, privacy, security, and finance stakeholders without relying solely on direct authority.
Ability to convert ambiguous enterprise needs into practical operating models, governance workflows, reporting rhythms, and measurable portfolio disciplines.
Ability to evaluate AI investments using business value, risk, feasibility, data readiness, operational complexity, and strategic alignment.
Ability to synthesize complex governance, risk, portfolio, and technical information into clear executive narratives.
Comfort operating in ambiguity, creating structure, and personally executing foundational work before a larger team is in place.
Ability to translate legal, compliance, and responsible AI expectations into practical governance controls.
Collaborative approach to working across federated business units while maintaining enterprise standards and accountability.

Nice To Haves

Master’s degree preferred.
Experience with portfolio management tools and practices such as ServiceNow OneTrust, Wrike, or similar platforms preferred.
Experience in insurance, healthcare, financial services, or another regulated industry is preferred.
Experience developing operating models, role definitions, hiring plans, or team structures for new organizational capabilities preferred.

Responsibilities

Mature Enlyte’s AI governance framework, including policies, standards, review processes, escalation pathways, and decision forums.
Evolve the AI use case intake, review, approval, and deployment lifecycle, including stage gates, risk classification, ownership, and accountability structures.
Operationalize responsible AI principles in partnership with Legal, Compliance, Information Security, and Privacy, while translating evolving regulatory expectations into practical controls.
Maintain and mature a single authoritative view of AI and ML initiatives across business units, lifecycle stages, investment categories, risks, and business outcomes.
Develop portfolio metrics and reporting that surface ROI, risk concentration, duplication, vendor sprawl, resource constraints, and strategic alignment opportunities.
Partner with business-unit AI Catalyst leads to ensure consistent enterprise governance while enabling appropriate business-unit autonomy.
Provide governance and portfolio insights for AI strategy, OKRs, executive updates, steering committees, and board-level reporting.
Build the foundational governance and portfolio function, then support the business case, operating model, and hiring roadmap for a dedicated team.