Operations Analyst Lead - AI & ML

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

• 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.
• 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.
  • Cook 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 Management:
  • Manage the AI community of practice, including meeting cadence, agendas, content, and follow ups.
  • 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:
  • 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.

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.

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.

Expected Salary Range

$160,000 - $220,000