Manager, Artificial Intelligence & Automation
Listed on 2026-07-01
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IT/Tech
AI Business & Operations, AI Engineer (Applied/Software), IT Project Manager, Change Management
We are looking for talented individuals who are passionate about making an impact in the company and the community.
Apply now and become part of the dynamic energy industry!
We’re looking for a forward-thinking leader to serve as the face of AI and automation within our organization. In this role, you’ll build and lead our enterprise AI & Automation Center of Excellence (CoE), guiding how we evaluate, govern, and scale AI solutions to deliver real business value.
This is a high-impact role for someone who thrives in fast-moving, ambiguous environments, enjoys solving complex problems, and brings both strategic vision and hands‑on execution to AI innovation.
What You’ll Do- Lead enterprise AI strategy by identifying, prioritizing, and scaling high-value use cases across the business
- Build and run the AI & Automation CoE, including governance, intake, and delivery frameworks
- Serve as a trusted advisor to leaders, helping determine the right AI solutions while managing risk and security considerations
- Establish and enforce responsible AI and governance practices
- Drive adoption of tools like Microsoft 365 Copilot, Power Platform, and other AI technologies
- Partner across IT, data, security, and business teams to ensure scalable, secure delivery
- Develop and lead a team, fostering collaboration, growth, and innovation
- 5+ years of experience in AI, analytics, automation, or related fields
- 5+ years of people leadership experience with strong coaching and team‑building skills
- Proven success delivering AI or automation solutions from concept to production
- Strong enterprise and systems thinking with the ability to assess risk and long‑term impact
- Experience translating business challenges into practical technology solutions
- Confidence working across teams and influencing senior stakeholders
- Experience with AI platforms (e.g., Copilot, Palantir, or similar)
- Background in governance, cybersecurity, or regulated environments
- Familiarity with data platforms, MLOps, or automation frameworks
- Be at the forefront of AI transformation
- Shape how AI is used responsibly and strategically across the enterprise
- Lead high‑visibility initiatives with enterprise‑wide impact
- Work in a collaborative environment that values innovation, curiosity, and continuous learning
The Manager, Artificial Intelligence & Automation is responsible for establishing and leading the enterprise AI and automation capability Center of Excellence (CoE), delivering measurable business value through disciplined execution, strong foundations, and responsible governance. This role builds the structure, operating model, and delivery engine required to scale AI and automation across the organization. As the AI / Automation CoE matures, this role is expected to operate with enterprise‑wide scope and influence, functioning as a senior IT role aligned with the broader IT strategy.
The role operates as a key contributor to senior IT leadership, working closely with IT and business leaders to help establish and execute the enterprise IT vision and roadmap aligned with corporate strategy. The Manager, AI & Automation ensures AI and automation initiatives are integrated with enterprise application strategy, data platforms, infrastructure, security, and governance.
ResponsibilitiesKey Responsibilities Establish AI / Automation Center of Excellence (CoE)
- Build and operate the enterprise AI / Automation CoE, defining its mission, scope, operating model, and delivery cadence.
- Establish clear intake, prioritization, governance, and delivery processes for AI and automation initiatives.
- Coordinate a federated network of AI and automation champions embedded across business units and IT domains.
- Serve as the central point of accountability for enterprise AI and automation standards, reusable patterns, and best practices.
- Partner with Enterprise Data & Analytics to ensure AI‑ready data foundations, including data quality, lineage, access, and MLOps enablement.
- Own the AI platform build and run, including:
- Model lifecycle management, orchestration, and…
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