Senior AI Enablement Lead

Strategic Retail Partners•Denver, CO

1d•$120,000 - $140,000•Hybrid

About The Position

The Senior AI Enablement Lead is a hands-on role that works directly with end-users, teams and business leaders to identify opportunities and deploy solutions to improve efficiency, automate repetitive processes, and enhance decision-making through practical AI solutions including Claude, ChatGPT, Microsoft Copilot, and other emerging platforms. This position reports to the CIO and is responsible for governance, training, tracking business impact, ROI, and providing updates and recommendations to executive leadership.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.