Manager AI Enablement

Posted 11 Days Ago
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Headquarters, AZ, USA
In-Office
Entry level
Automotive • Retail
The Role
Leads enterprise AI adoption by establishing governance, standards, intake, portfolio management, security controls, evaluation practices, and enablement patterns. Partners with Legal, Privacy, Security, Technology, FinOps, and business teams to identify automation opportunities, manage AI platforms and use cases, monitor value and risk, and support scalable solution delivery. Builds and develops a geographically distributed AI Enablement team while evaluating emerging technologies and improving enterprise AI capabilities.
Summary Generated by Built In

The Manager, AI Enablement leads implementation of the O’Reilly AI strategy by establishing an operating model for governance, standards, and delivery practices that enable the adoption and use of AI across O’Reilly. This role partners with technology, information security, Legal, risk, and business teams to identify opportunities for automation, guide AI-enabled transformation, and coordinate the implementation of AI technologies in accordance with approved standards and practices. The position also helps establish and develop a global AI Enablement team responsible for building scalable AI capabilities, supporting innovation, and driving continuous improvement across AI platforms and services.

This is an on-site position located in Springfield, MO. Remote work is not an option for this role.

ESSENTIAL JOB FUNCTIONS
  • Develop and maintain the enterprise AI governance framework in coordination with accountable Legal, GRC, Privacy, Information Security, and business partners, including AI use-case classification standards, approval pathways, risk-tiering, and readiness practices. 
  • Establish and oversee a centralized enterprise AI intake and portfolio-management process that captures business objectives, accountable sponsors, intended outcomes, dependencies, risk signals, and prioritization needs for AI initiatives across the organization.
  • Drive a federated model for AI adoption and solution delivery by enabling Technology and business teams with approved platforms, standards, solution patterns, and skill development. Provide centralized governance, portfolio visibility, and reporting to monitor AI use, adoption, benefits, risk signals, and cost and consumption trends where available, while accountable domain teams build, deliver, operate, and realize value from solutions within their areas.
  • Define and maintain common AI platform and solution patterns, implementation standards, evaluation requirements, controls, and templates in partnership with accountable architecture, data, security, and platform teams.  
  • Lead the development and continuous improvement of repeatable enablement and delivery patterns for approved enterprise AI platforms and technologies, enabling accountable domain teams to design, build, and operate AI solutions using consistent best practices.
  • Partner with business leaders to identify and assess opportunities for automation and AI-enabled process improvement, with clear business sponsorship, intended outcomes, and alignment to operational priorities.
  • Lead AI use-case discovery with business stakeholders, apply approved solution patterns with accountable domain teams, and communicate the benefits, risks, and limitations of AI capabilities.
  • Define AI-specific identity, access, and security requirements for agents, integrations, and platform services in coordination with accountable Identity, Information Security, architecture, and platform teams.
  • Partner with FinOps and accountable platform owners to monitor AI usage, licensing, and consumption trends; support forecasting, show back where available, optimization, and periodic value reviews.
  • Maintain a catalog of approved AI use cases, prototypes, and production services to improve visibility, governance, and knowledge sharing across the enterprise.
  • Coordinate common AI initiative lifecycle practices, including design, evaluation, readiness, and reassessment, while accountable business sponsors and domain teams lead solution delivery and operations within their areas. 
  • Establish performance measures and reporting that demonstrate adoption, effectiveness, value realization, and operational performance of AI solutions.
  • Evaluate emerging AI technologies and lead continuous improvement efforts that strengthen AI capabilities, governance, and business outcomes.
  • Lead and develop a geographically distributed team by establishing clear expectations, building technical capability, and fostering collaboration across global locations.
  • Coordinate AI-specific evaluation, governance, and readiness practices with accountable Information Security, Privacy, Legal, GRC, and business partners to support compliance with applicable requirements.

SKILLS/EDUCATION/EXPERIENCE

REQUIRED

  • Experience leading AI, automation, digital transformation, enterprise AI platform management, technology governance, or related technology initiatives.
  • Demonstrated success leading technical teams and developing talent within a complex and evolving technology environment.
  • Strong working knowledge of AI technologies, generative AI capabilities, architecture and integration patterns, and AI evaluation and operational-quality practices, with the ability to apply them within business operations.
  • Knowledge of AI governance, privacy, information security, vendor risk management, identity and access management, and regulatory compliance practices.
  • Ability to evaluate business needs and translate them into scalable technology solutions that balance innovation, risk, and operational value.
  • Experience establishing standards, processes, and enablement practices that improve the consistent adoption of AI and other applicable technology solutions
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Experience managing multiple priorities, balancing competing demands, and driving results through cross-functional teams.

DESIRED

  • Bachelor’s degree in Information Technology, Computer Science, Business, or a related field; equivalent relevant working experience will be considered.
  • Experience with enterprise AI platforms, automation tools, AI application-development services, and related technologies.
  • Experience supporting AI adoption, change management, and enterprise enablement programs. Familiarity with AI architecture, agent frameworks, and AI platform management concepts.

O’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization. 

Total Compensation Package:

  • Competitive Wages & Paid Time Off

  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One

  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)

  • Team Member Health/Wellbeing Programs

  • Tuition Educational Assistance Programs

  • Opportunities for Career Growth

O’Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.

Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: [email protected] or call (800) 471-7431 option , and provide your requested accommodation, and position details.

Skills Required

  • Experience leading AI, automation, digital transformation, enterprise AI platform management, technology governance, or related technology initiatives.
  • Demonstrated success leading technical teams and developing talent within a complex and evolving technology environment.
  • Strong working knowledge of AI technologies, generative AI capabilities, architecture and integration patterns, and AI evaluation and operational-quality practices.
  • Knowledge of AI governance, privacy, information security, vendor risk management, identity and access management, and regulatory compliance practices.
  • Ability to evaluate business needs and translate them into scalable technology solutions balancing innovation, risk, and operational value.
  • Experience establishing standards, processes, and enablement practices that improve consistent adoption of AI and applicable technology solutions.
  • Ability to communicate complex technical concepts to technical and non-technical audiences.
  • Experience managing multiple priorities, balancing competing demands, and driving results through cross-functional teams.
  • Bachelor's degree in Information Technology, Computer Science, Business, or a related field; equivalent relevant experience considered.
  • Experience with enterprise AI platforms, automation tools, AI application-development services, and related technologies.
  • Experience supporting AI adoption, change management, and enterprise enablement programs.
  • Familiarity with AI architecture, agent frameworks, and AI platform management concepts.

O’Reilly Auto Parts Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about O’Reilly Auto Parts and has not been reviewed or approved by O’Reilly Auto Parts.

  • Equity Value & Accessibility — Equity-style upside is strengthened by an Employee Stock Purchase Plan that allows eligible full-time team members to buy ORLY shares via payroll deductions at a discount, improving access to ownership. This creates a tangible wealth-building lever that is positioned as stronger than many retail peers’ stock purchase offerings.
  • Inclusive Benefits Coverage — Retirement access is broadened because both part-time and full-time team members are immediately eligible to enroll in the 401(k). Whole-person support also extends beyond full-time staff through O’Care Solutions, which is described as available to full- and part-time team members at no cost.
  • Wellbeing & Lifestyle Benefits — Wellness and support benefits are expanded through the Live Life Well program, which can reduce medical premium share when specific health criteria are met. O’Care Solutions adds lifestyle and wellbeing coverage through counseling and practical supports like legal/financial consults and caregiving resources.

O’Reilly Auto Parts Insights

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The Company
HQ: Springfield, MO
21,231 Employees
Year Founded: 1957

What We Do

O’Reilly Auto Parts started as a single store and has grown into a leading retailer in the automotive aftermarket industry with more than 6,100 locations and counting. With more than 94,000 team members, O’Reilly has expanded into 48 states, Puerto Rico, Mexico, and Canada. O’Reilly, headquartered in Springfield, Missouri, has a deep commitment to serving our customers, community, and our team members. Our culture values make O’Reilly the best place to work and grow! Whether you're interested in running a local store, managing a distribution center, or climbing the corporate ladder, O’Reilly has a career path in which you can truly thrive. Find out what it means to Live Green at our Fortune 500 Company and come work at the O! Mission: O'Reilly Automotive intends to be the dominant supplier of auto parts in our market areas by offering our retail customers, professional installers, and jobbers the best combination of price and quality provided with the highest possible service level.

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