Own and support prioritization of the AI use-case pipeline based on value, effort, and trade-offs
Identify high-value AI use cases by working directly with Legal, Public Affairs, and Internal Audit teams to uncover high ROI use cases and target priority workflows
Build fast, test with users, and move proven solutions to production in weeks—not quarters—in partnership with Technology and Enterprise AI
Redesign workflows end to end, including agentic workflows, with clear autonomy limits, evaluation standards, monitoring, and human review where it matters
Drive lasting adoption by equipping users and managers, activating AI Champions, and quickly resolving friction
Onboard use cases on the AI Risk Review process to embed controls, complete required validation, and maintain AI safety once in production
Measure adoption, efficiency, savings, and return on investment—and act quickly when results fall short
Build workforce readiness through focused learning, employee engagement, manager enablement, champion networks, communications, and workflow integration
Scale proven solutions through reusable patterns that improve productivity, quality, financial value, and risk outcomes
Required Qualifications:
7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of demonstrated ability to turn business strategy into an executable roadmap, a prioritized use-case pipeline, clear delivery plans, and measurable results
4+ years of experience building business cases and financial or cost models, estimating investment and benefits, and partnering with Finance to track budgets, operating costs, savings, cost avoidance, and return on investment
4+ years of proven ability to align senior leaders and cross-functional partners, make progress without direct authority, resolve competing priorities, and drive work through execution
4+ years of experience driving user adoption and lasting change through training, manager enablement, and hands-on problem solving
4+ years of experience with clear, direct communication with senior leaders, including the ability to explain risk, decisions, and results in plain language
Desired Qualifications:
Hands-on experience building and testing generative AI and AI-agent prototypes, from prompt and workflow design through evaluation
Proven track record of moving AI or automation use cases into production and delivering measurable time or cost savings
Experience getting work done in Legal, Audit, Communications, or other control functions within a regulated environment
Product management experience, including backlog ownership, rapid iteration, decision-making, and post-launch measurement