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Ready to rethink what enterprise support looks like in an agentic AI world? 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). But this role is much more than just keeping the lights on. 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. The way enterprise organizations support their analytics portfolios is changing fast, and SM Energy is looking for the right leader to drive that shift.

Essential Competencies and Expectations

• People Leadership & Coaching – Demonstrated ability to supervise, develop, and motivate a technical team. Skilled at building team culture and individual accountability. Provides clear performance expectations, technical feedback, and career development support tailored to individual strengths.
• Change Management – Ability to lead a team through significant operational change — communicating a compelling vision, managing uncertainty, and bringing people along as the support model evolves from traditional to agent-assisted operations. The right candidate sees this transition as an exciting opportunity to build something genuinely new.
• Technical Credibility – Strong enough technical background to engage meaningfully in analytics and automation conversations, participate in troubleshooting, evaluate solutions, and provide informed direction without taking over the work.
• Agentic & AI Acumen – A genuine curiosity about where AI is headed and how it can transform enterprise support. Able to assess opportunities, guide strategies, and oversee execution of agentic solutions — including familiarity with platforms such as Copilot, Gemini, and Claude — with a clear focus on what’s practical, scalable, and valuable for SM Energy.
• Process Design – Ability to assess current-state workflows, identify inefficiencies, and design scalable processes — whether human- or agent-driven — including a repeatable model for evaluating, piloting, and operationalizing agentic workflows.
• Stakeholder Communication – Clear, direct communicator who can translate technical issues and solutions for non-technical business audiences and articulate a forward-looking vision for how support operations are evolving.
• Prioritization & Judgment – Comfortable managing competing demands across support and strategic work; able to make sound triage decisions under pressure and balance reactive support needs with proactive improvement initiatives.
• Resilience & Adaptability – Thrives in a fast-changing environment where tools, platforms, and priorities evolve rapidly. Energized by ambiguity and motivated by the opportunity to shape what modern enterprise support looks like at SM Energy.

Computer and Software Applications

The Enterprise Support Supervisor must possess strong familiarity with the enterprise analytics and automation platforms the team supports. Experience with development or support in some or all of the technologies below is required

• Analytics & Reporting: Power BI, Spotfire
• Automation & Workflow: Alteryx, Power Automate
• Development & Data: Python, SQL
• AI Platforms: Copilot, Gemini, Claude
• Nice to Have:
  • development experience in the Palantir platform
  • working knowledge of React

Role-Specific Technical Knowledge and Skills

• 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.
• Ability to identify patterns in support demand and surface insights that inform upstream delivery and process improvement.
• Understanding of upstream oil and gas / energy industry operational concepts.

Education

A Bachelor’s degree in computer science, data analytics, engineering, or a related field is preferred for this position. Equivalent professional experience will be considered.

Required Experience

• 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