AI Enablement & Engineering Manager
AI Enablement & Engineering Manager The Manager, AI Enablement & Engineering is responsible for driving enterprise adoption, operationalization, support, and value realization of AI tools and solutions across the organization. This role leads the enablement and operational engineering strategy for AI technologies including copilots, internal AI agents, workflow automations, enterprise AI productivity platforms, and emerging AI-enabled business solutions. This is a player-coach leadership role responsible for leading AI enablement engineers, analysts, automation specialists, and technical resources to deliver scalable AI adoption, automation, training, support, governance, and operational capabilities across the enterprise. The role partners closely with business stakeholders, IT leadership, Security, Infrastructure, Enterprise Applications, and AI engineering teams to ensure AI solutions are effectively deployed, governed, supported, adopted, and optimized for measurable business impact. The Manager, AI Enablement & Engineering combines technical leadership, operational management, user enablement, change leadership, and AI governance responsibilities to accelerate responsible AI adoption while improving employee productivity, operational efficiency, and business outcomes. The summary of essential job functions includes: AI Adoption, Enablement & Strategy AI Engineering & Solution Delivery Feedback, Analytics & Continuous Improvement Training & Organizational Change Management AI Support Operations & User Experience AI Governance & Responsible AI Team Leadership Vendor & Platform Management Required skills and experience include: Bachelor's degree in Engineering, Computer Science, or related field (or equivalent experience) required. Minimum of 5 years of experience in AI enablement, enterprise technology, digital transformation, automation, IT operations, or related roles. Minimum of 3 years of leadership or technical program management experience. Proven experience operating in a player-coach leadership role balancing strategic leadership with hands-on execution. Experience leading technical teams supporting AI, automation, digital workplace, enterprise productivity, or SaaS platforms. Hands-on experience implementing, configuring, supporting, or operationalizing AI-powered solutions such as copilots, AI agents, workflow automation tools, or generative AI platforms. Experience partnering with AI engineers, developers, infrastructure teams, enterprise application teams, and business stakeholders. Familiarity with enterprise AI ecosystems including Microsoft Copilot, OpenAI/ChatGPT Enterprise, automation platforms, knowledge management solutions, and AI productivity tools. Experience using analytics, operational metrics, and reporting to measure adoption, usage, productivity impact, and value realization. Understanding of AI governance, responsible AI practices, enterprise security, and compliance requirements. Experience supporting APIs, integrations, workflow automation, or enterprise SaaS technologies. Experience building enterprise training programs, operational support models, and enablement strategies. Experience managing or partnering with enterprise software vendors and technology providers. Experience supporting SaaS platform lifecycle management including licensing, renewals, adoption, and operational governance. Familiarity with enterprise vendor management processes including security reviews, compliance considerations, and contract coordination. Strong executive communication, presentation, and stakeholder management skills. Ability to translate technical AI concepts into clear business and user guidance. Strong analytical, organizational, and continuous improvement capabilities. Actual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary. Estimated Pay Range $142,727 - $150,000 USD The perks include: Comprehensive medical, dental and vision plans for you and your dependents 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability Competitive Compensation Training and development programs Major offices stocked with snacks and beverages Collaborative and cool culture Work-life balance and generous paid time off Our commitment At the core of Trace3's DNA is our people. We are a diverse group of talented individuals who understand the importance of teamwork and demonstrating leadership, character, and passion in all that we do. We're committed to fostering an inclusive workplace where everyone feels respected, valued, and empowered to grow. We recognize that embracing diversity drives innovation, improves outcomes, fosters collaboration, boosts teammate satisfaction, and builds a more inclusive culture. As an equal opportunity employer, Trace3 bases all employment decisions based on individual qualifications, merit, and business requirements. We do not engage in discrimination on the basis of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or any other characteristic protected by federal, state, or local law. If you require a reasonable accommodation to complete the application process or participate in an interview, please email recruiting@trace3.com. ***To all recruitment agencies: Trace3 does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Trace3 employees or any other company location. Trace3 is not responsible for any fees related to unsolicited resumes/CVs.