AI Enablement Lead

Coordinate AI Steering Committee activities, including agendas, materials, notes, action tracking, follow-up items, and status updates. Support leadership in maintaining the enterprise AI roadmap by organizing priorities, documenting decisions, and translating direction into practical workplans. Identify workflow pain points, manual processes, adoption barriers, and potential AI or automation use cases with business partners. Maintain AI intake materials, collect required information, and prepare prioritization summaries for leadership review. Track approved AI use cases from intake through discovery, pilot planning, implementation support, adoption, and outcome reporting. Support AI pilots and experiments by documenting goals, success measures, user feedback, issues, lessons learned, and recommendations. Maintain project documentation, workplans, milestone tracking, issue logs, dependency lists, decision logs, and adoption support materials. Coordinate with business owners, Technology, vendors, project teams, and control functions to advance approved AI work. Define baseline measures and track AI initiative results, including adoption, utilization, productivity, service, risk, and other outcomes. Prepare recurring reports and scorecards showing use case status, adoption progress, key issues, decisions needed, and measured results. Maintain an inventory of approved AI tools, use cases, pilots, vendors, business owners, risks, controls, and implementation status. Research AI trends, financial services use cases, regulatory guidance, vendor capabilities, and peer activity. Provide practical AI enablement support to business teams. Partner with Information Security, Legal, Compliance, Risk, Technology, and business units on responsible AI requirements, risks, controls, and ownership. Monitor AI-related regulatory expectations and share updates with stakeholders. Coordinate employee enablement efforts, including communications, training logistics, responsible use materials, adoption playbooks, and practical resources. Reinforce responsible use expectations for confidential information, member and employee data, intellectual property, and unapproved AI tools. Support updates to AI policies, standards, guidelines, and governance materials. Assist with AI vendor and platform evaluations by collecting information, documenting requirements, summarizing risks, and preparing comparison materials. Perform other related duties and special projects as assigned. Requirements 4 Year / Bachelors Degree preferred. Degree in business, finance, technology, analytics, operations, or a related field preferred, or equivalent experience. Minimum: 4+ years of experience in strategy execution, transformation, business analysis, technology enablement, analytics, innovation, AI enablement, product delivery, program management, or a related role. Preferred: 4 - 6+ years of experience in financial services, credit unions, banking, compliance, risk, operations, technology transformation, or regulated environments. Demonstrated experience leading complex, cross-functional initiatives from concept through implementation, adoption, measurement, and continuous improvement. Demonstrated experience evaluating, implementing, enabling, or driving adoption of AI, automation, advanced analytics, emerging technologies, or related technology solutions in a business environment. Strong practical understanding of generative AI, enterprise AI and productivity tools, and emerging AI capabilities. Ability to work effectively with executive leaders and translate strategic direction into practical execution plans. Ability to translate AI concepts, emerging technologies, business needs, workflows, and operational pain points into practical use cases, business cases, roadmaps, experiments, pilots, adoption plans, and measurable outcomes. Working knowledge of AI adoption, responsible AI practices, governance, risk considerations, change management, value measurement, enterprise productivity tools, data considerations, and vendor evaluation. Strong communication, facilitation, project and program leadership, stakeholder management, analytical thinking, executive presentation, problem-solving, and change leadership skills. Ability to influence and drive accountability across functions without direct reporting authority. Ability to operate effectively in a rapidly changing environment, learn emerging technologies quickly, and balance innovation and speed with appropriate governance and risk management. Experience in financial services, credit unions, banking, compliance, risk, operations, technology transformation, or another regulated environment preferred. Core Competencies Demonstrates expertise in AI enablement, strategy execution, and program management, with a strong focus on translating complex AI concepts into practical business applications and measurable outcomes. Proficient in stakeholder management, project leadership, and navigating regulatory environments within financial services. Highest-signal resume keywords AI Enablement Program Management Stakeholder Management Financial Services Experience Change Management Hard Skills Business Analysis Technology Enablement Advanced Analytics AI Adoption Project Documentation Workflow Analysis Risk Management Governance Practices Data Considerations Vendor Evaluation Soft Skills Communication Analytical ThinkingProblem-Solving Facilitation Executive Presentation Industry Keywords Financial Services Compliance Risk Management Technology Transformation Regulated Environments Tools & Technologies Enterprise AI Tools Productivity Tools Automation Solutions Emerging Technologies AI Pilot Programs #J-18808-Ljbffr