Trace3 · 2 weeks ago
AI Enablement & Engineering Manager
United States
Full-time
Remote
Lead/Staff
$143K/yr - $150K/yr
5+ years expTrace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to clients. The Manager, AI Enablement & Engineering is responsible for driving enterprise adoption and operationalization of AI tools and solutions, leading a team to deliver scalable AI adoption, training, and governance across the organization.
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Responsibilities
Define and execute the enterprise AI enablement and operationalization strategy
Develop programs to drive AI awareness, adoption, productivity, and measurable business value
Partner with executive leadership to align AI initiatives with organizational priorities and transformation goals
Establish success metrics, KPIs, and operational standards for AI adoption and value realization
Drive enterprise AI best practices, governance alignment, and standardized usage guidance
Lead AI enablement engineers and technical specialists responsible for deployment, configuration, integration, and operational support of enterprise AI solutions
Oversee implementation and operationalization of AI copilots, internal AI agents, workflow automations, and AI-enabled productivity tools
Partner with AI engineering, infrastructure, and enterprise application teams to prioritize integrations, enhancements, and AI platform capabilities
Establish scalable operational processes, support models, technical standards, and documentation practices for AI-enabled services
Support evaluation, pilot programs, and rollout of emerging AI technologies and platforms
Ensure AI solutions align with enterprise architecture, security, governance, and compliance standards
Drive operational maturity, scalability, and continuous optimization of enterprise AI services
Collect and analyze user feedback, adoption trends, support metrics, and operational analytics
Measure and report on AI adoption, productivity improvements, operational efficiencies, and business value realization
Develop executive reporting and dashboards demonstrating ROI and impact of enterprise AI initiatives
Identify gaps in usability, operational support, training effectiveness, or technical solution performance
Partner with engineering and business stakeholders to improve AI capabilities using data-driven insights
Drive continuous improvement initiatives focused on user experience, operational excellence, and AI effectiveness
Oversee development and delivery of enterprise AI training programs, onboarding, and enablement resources
Ensure effective education and support for tools including Microsoft Copilot, ChatGPT Enterprise, internal AI agents, automation platforms, and enterprise AI solutions
Lead organizational change management initiatives to accelerate adoption and responsible AI usage
Standardize enterprise AI usage guidance, playbooks, and best practices
Promote AI literacy and responsible AI behaviors across business and IT organizations
Own the enterprise AI support model and end-user experience strategy
Manage AI support operations, ticketing processes, escalation workflows, and issue resolution coordination
Identify recurring user issues and drive proactive operational or technical improvements
Partner with engineering teams to troubleshoot and resolve complex AI platform issues
Ensure a high-quality, scalable, and secure user experience for enterprise AI capabilities
Partner with Security, Legal, Compliance, and IT leadership teams to enforce responsible AI governance standards
Support governance processes for evaluating, approving, and operationalizing enterprise AI tools
Ensure AI usage aligns with data protection, privacy, compliance, and acceptable use policies
Promote secure and compliant usage of enterprise-approved AI technologies
Assist in development and communication of enterprise AI policies, standards, and operational procedures
Lead and develop a multidisciplinary AI Enablement & Engineering team including enablement engineers, automation specialists, business analysts, and support resources
Establish team priorities, operational KPIs, delivery roadmaps, and service expectations
Manage workload prioritization, resource planning, and execution of AI initiatives
Provide technical and professional mentorship to team members supporting enterprise AI platforms and services
Foster a culture of innovation, experimentation, accountability, and continuous learning
Manage relationships with AI platform vendors, technology partners, and service providers
Coordinate vendor onboarding, operational reviews, escalations, and ongoing platform governance
Partner with Procurement, Security, Legal, and IT leadership on vendor evaluations, renewals, risk reviews, and licensing management
Monitor vendor performance, platform adoption, support responsiveness, and roadmap alignment with business objectives
Collaborate with vendors to identify optimization opportunities, feature enhancements, and best practices
Support proof-of-concepts, pilot programs, and evaluation of emerging AI technologies and strategic partnerships
Assist with forecasting, budgeting, and consumption management for enterprise AI platforms and services
Qualification
Required
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
Benefits
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
Company
Trace3
Trace3 is a technology consultancy that provides IT strategies, business transformation solutions, and services for the clients.
1001-5000 employees
H1B Sponsorship
Trace3 has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
82%
Represents job field similar to this job
Engineering and Development
Management and Executive
Sales
Trends of Total Sponsorships
*2026 (1)
2025 (4)
2024 (8)
2023 (1)
2022 (6)
2021 (2)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
H.I.G. Capital
2025-08-11Acquired
2017-06-15Private Equity
Leadership Team
J
Joe Quaglia
Chief Executive Officer
Mark Butler
VP Security Solutions
Recent News
2026-07-16
EIN Presswire
2026-05-18
Company data provided by crunchbase