Automation and Generative AI Supervisor​/Manager

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 life cycles as well as modern AI frameworks is required for success in this role.

ESSENTIAL COMPETENCIES AND EXPECTATIONS

* Strategic Leadership - Demonstrate the ability to translate organizational goals into clear development priorities;
Anticipates technological shifts in the Generative AI landscape and proactively identifies opportunities to transition from simple chatbots to complex "agentic" workflows;
Guides teams in aligning architectural decisions with long-term IT scalability strategies.

* People Leadership - Builds, develops, and mentors high-performing technical teams (employees and consultants), fostering a culture of accountability, innovation, and continuous learning;
Provides clear performance expectations, technical feedback, and career development support tailored to individual strengths;
Leads with consistency and professionalism, bridging the gap between distinct technical disciplines (e.g., RPA vs. Full Stack Web Dev).

* Cross Functional Collaboration - Promotes strong relationships with business units (e.g., Land, Finance, Operations) and other IT disciplines to ensure unified solution delivery;
Facilitates open communication between the custom development, generative AI and automation groups to prevent silos;
Demonstrates adaptability when coordinating across multiple technical stacks and changing project priorities.

* Decision Making and Judgment - Makes sound, data-driven decisions that balance technical innovation, security governance, and business value;
Exercises strong situational awareness, particularly regarding the risks of AI hallucination or automated process failures;
Influences decision-making by presenting clear technical trade-offs and architectural recommendations.

* Operational Excellence - Sets and enforces high standards for software quality, code auditability, and Dev Sec Ops  discipline;
Drives efficiency by identifying opportunities to reuse code components across the platform and leveraging emerging technologies to solve legacy problems.

* Communication and Stakeholder Engagement - Communicates effectively with technical and non-technical audiences, ensuring clarity regarding the capabilities and limitations of AI models;
Keeps leadership and stakeholders informed of project status, risks, and ROI in a timely and accurate manner;
Represents the technology team professionally in internal and external interactions, including with software vendors and contract partners.

COMPUTER AND SOFTWARE APPLICATIONS

The IT Supervisor must possess a strong proficiency in Microsoft Office suite applications, and experience in leading teams using modern development and automation software is key to the role. Additional experience with some or all of technologies below is strongly preferred:

* Automation: RPA Platforms (e.g., UiPath, Power Automate)

* Generative AI & Data:
Python, LLM Frameworks (e.g., Lang Chain), Vector Databases

* Custom Development:
JavaScript, React, SQL

* Dev Ops/Management:
Azure Dev Ops, Git, Jira

ROLE-SPECIFIC TECHNICAL KNOWLEDGE AND SKILLS

* 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.

* Knowledgeable about Oil & Gas business processes (upstream/midstream) to effectively translate business requirements into technical specifications.

EDUCATION:

A Bachelor of Science (BS) degree in Computer Science, Data Science, Engineering, Business, or Information Systems is required for this position.

REQUIRED EXPERIENCE:

Minimum of 8 years of related industry experience, including at…