JOB SUMMARY

The AI & ML Operations Analyst Lead drives the adoption and responsible use of AI across the organization. The role partners with department leaders and staff to identify opportunities, coordinate the intake and prioritization of AI use cases, and enables the workforce through training, a champions network, and a community of practice. This position also focuses on transparency and quality by developing monitoring, dashboards, and reporting that give leadership and the broader enterprise visibility into AI usage, value, and impact.

The role has a focus on practical outcomes over experimentation and operates within ERCOT's AI governance framework. This is an enablement role, not an engineering role.

JOB DUTIES

Driving Adoption and Measurable Outcomes

• Drive meaningful adoption of AI across the organization, moving the broader organization toward confident, productive use of AI tools.
• Track adoption metrics, usage patterns, and workflow impact to evaluate the effectiveness of AI implementations, and report findings to leadership.
• Develop and maintain dashboards that give visibility into AI usage, value, and impact.
• Establish and report on expected value, business outcomes, and success measures for AI initiatives, in alignment with governance expectations.

Department Discovery and Business Process Analysis

• Partner with department leaders and staff to map current workflows, identify inefficiencies, and surface high value opportunities where AI can reduce manual effort, improve quality, or accelerate outcomes.
• Translate business needs into clear requirements for AI solutions, serving as the bridge between non-technical staff and technology capabilities.

Intake, Backlog, and Governance Coordination

• Operate the intake process for AI applications and requests, ensuring submissions are captured, triaged, and tracked.
• Manage the AI backlog, prioritizing items against organizational value, risk, and readiness.
• Prepare use cases for risk tiering and review by the appropriate governance body, and support registration of AI capability in the AI System Registry.
• Coordinate with technical, governance, security, and architecture functions to move items through the pipeline.
• Ensure AI System Registry is updated and current.

Community and Champions Network

• Manage the AI community of practice, including meeting cadence, agendas, content, and follow ups.
• Build and sustain the AI champions network across business units, equipping champions to support adoption locally.
• Surface use cases, questions, and friction points from the community and route them to the right owners.
• Provide and support coaching and office hours to help staff embed AI into their daily routines.

Platform and Feature Monitoring

• Monitor new features, models, and capabilities released across approved AI platforms such as Claude and ChatGPT.
• Evaluate and pilot AI tools and features against organizational needs, security requirements, and governance standards.
• Maintain awareness of platform changes that affect cost, security posture, or governance requirements, and communicate what matters in plain language.

Training and Enablement

• Tap into the needs of the organization and transparently provide the tooling, guidance, and resources people require.
• Create internal enablement resources such as quick start guides, FAQs, video walkthroughs, and use case examples that make AI tools approachable for non-technical audiences.
• Determine training plans based on demonstrated needs across roles and skill levels.

EXPERIENCE & EDUCATION

Required

• 8 years of experience in one or more of the following: IT, business process improvement, digital transformation, AI/ML implementation, or technology consulting.
• Bachelor's degree in a related field, or a combination of education and experience that provides equivalent knowledge.
• Demonstrated ability to analyze business processes, identify automation and AI opportunities, and drive solutions from idea through adoption.
• Working knowledge of generative AI tools and concepts such as prompt engineering, agents, context windows, and model differences.
• Experience with enterprise generative AI platforms such as Claude, ChatGPT, Microsoft Copilot or similar platforms
• Strong written and verbal communication skills, especially the ability to explain technical concepts to non-technical audiences.
• Strong organizational skills with demonstrated ability to manage intake, backlog, and competing priorities.
• Ability to earn the trust of cautious stakeholders and build confidence in AI use within a regulated, security conscious environment.
• Sound judgment about where AI does and does not fit, including the willingness to advise against AI when it is not the right tool.
• Experience administering intake workflows, review boards, decision logs, risk registers, control follow-ups, or similar governance operations.

Preferred

• Familiarity with AI governance, data protection, privacy, or information security concepts.
• Experience facilitating communities of practice or champion networks.
• Familiarity with SharePoint and common collaboration and reporting tools.
• Knowledge of Power BI, GitHub Copilot, Azure AI Foundry, and Databricks

The foregoing description reflects the minimum qualifications and the essential functions of the position that must be performed proficiently with or without reasonable accommodation for individuals with disabilities. It is not an exhaustive list of the duties expected to be performed, and management may, at its discretion, revise or require that other or different tasks be performed as assigned. This job description is not intended to create a contract of employment with ERCOT. Both ERCOT and the employee may exercise their employment-at-will rights at any time. #LI-IV1 #Hybrid

Expected Salary Range:
$160,000 - $220,000