AAET Enterprise Support Supervisor

SM-Energy Company•Denver, CO

6d•$132,600 - $193,200•Onsite

About The Position

We're looking for an Enterprise Support Supervisor to lead the technical and day-to-day operations of SM Energy's enterprise analytics and automation support function, and to help re-envision the function itself. In this role, you'll lead a team of developers who maintain and continuously improve a broad portfolio of solutions spanning full-stack development (including Palantir, Power BI, Spotfire, Alteryx, Power Automate, Python, React and SQL). This is an opportunity to reimagine the support model from the ground up: identifying where intelligent automation can cut burden, scale your team's capacity, and shift support from reactive firefighting to proactive building. Reporting to the Enterprise Delivery Manager, you'll sit at the intersection of today's support operations and an evolving automated support model, serving as a key cross-functional partner across IT and the business.

Requirements

5+ years of experience in business intelligence, analytics, or automation roles, with demonstrated progression into leadership.
Experience with development and/or support of analytics in the upstream oil and gas / energy industry.
Demonstrated experience leading a technical team.
Experience with or demonstrated curiosity toward agentic AI platforms — such as Copilot, Gemini, or Claude — and a drive to explore how emerging tools can modernize support operations.
Strong familiarity with the enterprise analytics and automation platforms the team supports.
Experience with development or support in some or all of the following technologies: Power BI, Spotfire, Alteryx, Power Automate, Python, SQL, Copilot, Gemini, Claude.
Working proficiency across the enterprise analytics stack — sufficient depth to guide developers, evaluate their work, and engage meaningfully in troubleshooting conversations.
Ability to assess current-state support workflows, identify manual or repetitive tasks, and design scalable agent-based solutions to address them.
Understanding of how to evaluate, pilot, and operationalize agentic AI workflows within an enterprise support context.
Familiarity with project-to-support handoff processes, including documentation standards and knowledge transfer practices.

Nice To Haves

Development experience in the Palantir platform.
Working knowledge of React.
A Bachelor’s degree in computer science, data analytics, engineering, or a related field is preferred.
Equivalent professional experience will be considered.

Responsibilities

Lead the technical and day-to-day operations of SM Energy's enterprise analytics and automation support function.
Lead a team of developers who maintain and continuously improve a broad portfolio of solutions spanning full-stack development.
Reimagine the support model from the ground up, identifying where intelligent automation can cut burden, scale team capacity, and shift support from reactive firefighting to proactive building.
Serve as a key cross-functional partner across IT and the business.
Supervise, develop, and motivate a technical team.
Build team culture and individual accountability.
Provide clear performance expectations, technical feedback, and career development support.
Lead a team through significant operational change, communicating a compelling vision and managing uncertainty.
Engage meaningfully in analytics and automation conversations, participate in troubleshooting, evaluate solutions, and provide informed direction.
Assess opportunities, guide strategies, and oversee execution of agentic solutions.
Assess current-state workflows, identify inefficiencies, and design scalable processes.
Translate technical issues and solutions for non-technical business audiences and articulate a forward-looking vision for how support operations are evolving.
Manage competing demands across support and strategic work.
Make sound triage decisions under pressure and balance reactive support needs with proactive improvement initiatives.
Identify patterns in support demand and surface insights that inform upstream delivery and process improvement.