Principal Analyst, CGT Process Automation & AI

Position Overview

Principal Analyst – CGT Process Automation & AI. This role will play a key part within the Commercial CGT DTE (Data, Technology & Engineering) team, leading efforts to document, assess, manage and implement business automations across the organization. The candidate will partner closely with business stakeholders to understand current ways of working, identify opportunities for standardization and efficiency, and lead the design and implementation of sustainable process improvements.

The role will evaluate or support opportunities involving AI, automation, or other digital tools, focusing on process clarity, documentation, governance, project management, and change adoption. The ideal candidate brings strong business process expertise, the ability to translate complex workflows into clear documentation, and experience leading cross‑functional initiatives.

• Lead projects related to process improvements and AI implementations for the Commercial CGT DTE organization, including user onboarding/activation, change management, ITSM (Service Now), SDLC, and agentic solutions.
• Hands‑on delivery of agentic solutions.
• Lead the documentation, analysis, and management of ways of working across the Commercial CGT DTE organization.
• Partner with stakeholders across the broad DTE landscape to understand current‑state workflows, identify process gaps, and define future‑state improvements.
• Develop and maintain clear, accurate, and user‑friendly process documentation, including process maps, SOPs, business rules, work instructions, and related materials.
• Establish and promote standards for process documentation, version control, and ongoing process governance.
• Assess improvement opportunities that may include workflow redesign, standardization, or automation with a focus on applying AI tools.
• Coordinate across business, technology, and operational teams to ensure alignment on process changes, dependencies, and impacts.
• Drive stakeholder engagement and change management activities to support adoption of updated processes and tools.
• Monitor process effectiveness and recommend enhancements based on business feedback, operational needs, and evolving priorities.

• Bachelor’s degree in Business, Information Systems, Engineering, Life Sciences, Computer Science, or a related field.
• 5+ years of relevant experience in process documentation, process improvement, business analysis, project management, operations, or digital transformation.
• Demonstrated experience documenting complex business processes and translating them into clear, actionable materials.
• Strong experience leading cross‑functional initiatives involving multiple stakeholders and operational work streams.
• Proven ability to assess current‑state processes and recommend practical, scalable improvements.
• Experience managing projects or work streams from planning through implementation and adoption.
• Excellent written and verbal communication skills, with strong attention to detail and documentation quality.
• Strong organizational, analytical, and problem‑solving skills.
• Ability to influence stakeholders, build alignment, and manage change in a matrixed environment.

• Deep understanding of process documentation, workflow analysis, and business process management.
• Experience building agentic AI solutions;
  Salesforce Agentforce knowledge is a plus.
• Experience creating and maintaining:
  • Process maps
  • Standard operating procedures (SOPs)
  • Work instructions
  • Business requirements
  • Governance documentation
  • Training and communication materials
• Strong proficiency with Microsoft Word, Excel, PowerPoint, Visio, Teams, and SharePoint.
• Experience using process mapping or workflow tools to document and visualize business operations.
• Familiarity with project management tools such as Jira, Smartsheet, Asana, or Microsoft Project.
• Ability to support process improvement initiatives that may include automation, reporting, AI‑enabled tools, or digital workflow solutions where appropriate.
• Experience using data and operational insights to identify inefficiencies and support process decisions.

• Experience in the…