Senior Manager, AI Governance & Portfolio Management

New York City, Midtown Manhattan – Fashion District (On-Site)

IT

SVP, Technology & Digital Innovation

G-III excels at bringing excitement and confidence to customers through the fashion we create. We are global experts in design, sourcing, manufacturing, distribution and marketing, which enables us to fuel the growth of a substantial portfolio of brands. With more than 30 licensed and owned brands, including some of the most sought-after names in global fashion, our success is driven by our team’s entrepreneurial spirit and our deep relationships across the industry.

The Senior Manager, AI Governance & Portfolio Management will be responsible for operationalizing G-III’s enterprise AI strategy by establishing and executing the governance, operating model, measurement, and oversight frameworks required to scale AI responsibly across the organization.

This role goes beyond defining governance policies—it ensures governance is embedded into how AI is executed across the organization through clear ownership, operating cadence, measurable KPIs, risk management, and continuous improvement.

Working closely with the SVP, Technology & Digital Innovation, the AI Team, Data, IT, Legal, Security, Privacy, business leaders, and external transformation partners, this role will act as the control tower for AI initiatives, ensuring that AI adoption is scalable, consistent, measurable, and aligned with business value while managing risk, quality, and performance.

• Define and operationalize a layered governance model across data governance (quality, ownership, certification), AI governance (model behavior, monitoring, standards), and experience governance (usability, trust, adoption).
• Establish governance structures that connect enterprise AI strategy and standards with business execution.
• Maintain a central governance backlog of initiatives, actions, issues, risks, and priorities.

• Implement governance as an ongoing operating rhythm, including monthly governance reviews, quarterly maturity assessments, and continuous backlog tracking and prioritization.
• Coordinate and support the AI CoE Steering Committee, including agenda development, initiative reviews, decision tracking, and follow-up actions.
• Ensure governance is executed through measurable actions and accountability, not just policy definition.

• Design and manage structured intake processes for AI use cases across brands, functions, and divisions.
• Establish prioritization frameworks based on business impact, strategic alignment, feasibility, risk, compliance, and required investment.
• Maintain the enterprise AI use-case inventory, including status, owner, business value, risk, investment, adoption, and next decision point.

• Define standardized frameworks for AI pilots, including baseline measurement, success criteria, KPI design, and graduation thresholds.
• Ensure pilots are evaluated across operational efficiency, quality and accuracy, business impact, scalability, and risk.
• Track outcomes and identify initiatives that should scale, be refined, or stop.

• Define and monitor governance KPIs across AI adoption visibility, data quality and consistency, model accuracy and reliability, explainability and transparency, compliance adherence, and issue resolution.
• Establish and maintain governance maturity assessments aligned with the NIST AI Risk Management Framework, ISO/IEC AI governance standards, and enterprise data governance best practices.
• Provide regular visibility into governance performance, maturity, risks, and improvement…