About The Position

The IT Supervisor/Manager –Automation, Generative AI and Custom Development is responsible for the technical leadership and execution of the organization’s automation, custom development, and generative AI initiatives. This includes the review and continuous monitoring of development roadmaps to ensure alignment with the IT division's objectives. The Supervisor ensures that digital products—ranging from the enterprise assistants to robotic automation processes—are designed and delivered to meet established business goals and audit needs where relevant, focusing on code quality, security governance, user experience, and operational scalability. Serving as an interdisciplinary coordinator, the Supervisor works to guarantee efficient project execution across automation developers, data scientists, and front-end engineers. Additional responsibilities encompass technical mentorship, code reviews, making recommendations regarding hiring or changes in personnel status, as well as championing programs for AI literacy. A thorough understanding of automation and front-end development lifecycles as well as modern AI frameworks is required for success in this role.

Requirements

  • Strong proficiency in Microsoft Office suite applications, and experience in leading teams using modern development and automation software is key to the role.
  • Demonstrated ability to apply broad and deep knowledge of software engineering principles, with the ability to guide "hands-on" technical work such as code reviews and solution architecture.
  • Strong understanding of the convergence between Robotic Process Automation (RPA) and Artificial Intelligence, specifically how to architect "Agentic" workflows.
  • Proficient in evaluating and mitigating risks associated with emerging technologies, including data privacy and model governance.
  • A Bachelor of Science (BS) degree in Computer Science, Data Science, Engineering, Business, or Information Systems is required for this position.
  • Minimum of 8 years of related industry experience, including at least 2+ years of direct supervisory or team-leadership experience within technology or software development.
  • Proven experience overseeing technical teams, managing developer performance, and guiding professional development.
  • Experience coordinating cross-functional projects and leading technical decision-making processes in an agile environment.

Nice To Haves

  • Automation: RPA Platforms (e.g., UiPath, Power Automate)
  • Generative AI & Data: Python, LLM Frameworks (e.g., LangChain), Vector Databases
  • Custom Development: JavaScript, React, SQL
  • DevOps/Management: Azure DevOps, Git, Jira
  • Knowledgeable about Oil & Gas business processes (upstream/midstream) to effectively translate business requirements into technical specifications.

Responsibilities

  • Translate organizational goals into clear development priorities
  • Anticipate technological shifts in the Generative AI landscape and proactively identifies opportunities to transition from simple chatbots to complex "agentic" workflows
  • Guide teams in aligning architectural decisions with long-term IT scalability strategies
  • Build, develop, and mentors high-performing technical teams (employees and consultants), fostering a culture of accountability, innovation, and continuous learning
  • Provide clear performance expectations, technical feedback, and career development support tailored to individual strengths
  • Lead with consistency and professionalism, bridging the gap between distinct technical disciplines (e.g., RPA vs. Full Stack Web Dev)
  • Promote strong relationships with business units (e.g., Land, Finance, Operations) and other IT disciplines to ensure unified solution delivery
  • Facilitate open communication between the custom development, generative AI and automation groups to prevent silos
  • Demonstrate adaptability when coordinating across multiple technical stacks and changing project priorities
  • Make sound, data-driven decisions that balance technical innovation, security governance, and business value
  • Exercise strong situational awareness, particularly regarding the risks of AI hallucination or automated process failures
  • Influence decision-making by presenting clear technical trade-offs and architectural recommendations
  • Set and enforce high standards for software quality, code auditability, and DevSecOps discipline
  • Drive efficiency by identifying opportunities to reuse code components across the platform and leveraging emerging technologies to solve legacy problems
  • Communicate effectively with technical and non-technical audiences, ensuring clarity regarding the capabilities and limitations of AI models
  • Keep leadership and stakeholders informed of project status, risks, and ROI in a timely and accurate manner
  • Represent the technology team professionally in internal and external interactions, including with software vendors and contract partners

Benefits

  • SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations.
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