Senior AI Enablement Lead

Position Summary

The Senior AI Enablement Lead is a strategic and hands-on role responsible for driving the adoption, integration, and optimization of AI productivity tools — including Claude, ChatGPT, Microsoft Copilot, and other emerging platforms — across the organization. This role leads the AI Enablement Team, reporting directly to the CIO, and serves as the primary bridge between available AI capabilities and day-to-day operational needs across all departments.

This position is distinct from the Information Systems (IS) development group, which focuses on ML/AI integration into core systems for high-ROI enterprise objectives. The Senior AI Enablement Lead instead focuses on measurable operational efficiency gains through practical, end-user-facing AI tooling, automation, and workflow enhancement — without requiring deep software engineering expertise from end users.

About Us:

Driven by our mission to exceed the expectations of on-the-go consumers, Strategic Retail Partners has grown from a regional distributor of sunglasses founded in 1969 into an international leader of in-store merchandising solutions. We have built relationships with thousands of international, national, and regional retailers who rely on our customized solutions in more than 70,000+ locations across the U.S. and Canada. With warehouse facilities in several states and service representatives covering all regions of the country, there isn't a retail location we can't service.

Key Responsibilities:

Strategy & Leadership

• Develop and own the enterprise AI enablement roadmap, aligned with the CIO/CEO's operational efficiency goals

• Define success metrics and track operational execution savings attributable to AI tool adoption

• Manage and mentor the AI Enablement Implementor role and any future team additions

• Serve as the internal authority on end-user AI tools (Claude, ChatGPT, Copilot, etc.), including evaluating new platforms

• Maintain a clear boundary of scope with the IS development group, coordinating on shared data needs without duplicating engineering work

AI Tool Deployment & Adoption

• Identify, pilot, and roll out AI tools that reduce manual, repetitive, or low-value work across business units

• Design and document standard operating procedures and use-case playbooks for approved AI tools

• Collaborate with department heads to identify high-impact automation and efficiency opportunities

• Establish an AI use-case intake process for employees to submit ideas and requests

Data Access & Governance

• Identify and request appropriate access to organizational data needed to support end-user AI workflows

• Partner with IT, IS, and Data teams to ensure responsible, compliant data provisioning for AI tools

• Champion data privacy and security best practices in all AI enablement activities

• Maintain a registry of approved AI tools, their data access levels, and usage policies

Training & Change Management

• Design and deliver AI literacy and upskilling programs for employees at all technical levels

• Build internal champions and a community of practice around AI tool usage

• Manage change communication for new AI tool rollouts, addressing adoption barriers and concerns

• Produce regular reporting to the CIO & CEO on adoption rates, efficiency gains, and ROI indicators

Qualifications:

Required

• 5+ years of experience in technology enablement, digital transformation, enterprise IT, or a related field

• Demonstrated hands-on experience leading organizational implementation of AI productivity platforms (Claude, ChatGPT, Microsoft Copilot, or similar)

• Strong understanding of prompt engineering, AI workflow design, and automation best practices

• Proven ability to lead cross-functional initiatives and drive organizational change

• Excellent communication skills — able to translate AI capabilities into business value for non-technical audiences

• Experience in data access coordination and working within governance frameworks

Preferred

• Experience in a CIO-adjacent, IT Strategy, or Enterprise Architecture function

• Familiarity with Microsoft 365 ecosystem, enterprise SaaS platforms, and API-based integrations

• Background in training in design, change management, or organizational development

• Exposure to data governance, information security, or compliance frameworks (SOC2, GDPR, HIPAA, etc.)

• Prior experience building or scaling a small internal team

What Success Looks Like (12 Months)

• A growing, well-organized library of AI prompts and workflow guides is actively used by employees

• Training sessions have been delivered to multiple departments, with positive feedback scores

• End users can independently use AI tools for their core tasks, reducing dependence on manual processes

• Recurring friction points in AI tool adoption have been identified and escalated or resolved

• The individual has developed a strong working knowledge of 2+ AI platforms and their enterprise applications

Benefits and Perks:

• Hybrid role

• Medical, dental, and vision insurance

• Company paid short term disability and life insurance

• Paid holidays and floating holidays

• Flexible PTO plan

• 401(k) with company match

• Tuition Reimbursement

• Employees paid weekly

• Paid parking in downtown Denver

We do not discriminate on the basis of race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran (U.S.) status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, in accordance with applicable laws.

The gross salary range is $140,000 - $180,000 plus and excellent benefits package and bonus opportunity. This range represents the anticipated low and high end of the salary for this position. Actual salaries will vary and are based on factors such as a candidate’s qualifications, skills, and competencies.