Manager, Automation and AI Delivery

Job Description

First Command is seeking a delivery‑focused leader to manage the Intelligent Automation capability, unifying Robotic Process Automation (RPA) and AI engineering into a single high‑performing team.

First Command is seeking a delivery‑focused leader to manage the Intelligent Automation capability, unifying Robotic Process Automation (RPA) and AI engineering into a single high‑performing team.

• Oversee execution of rule‑based, probabilistic, and hybrid automation solutions.
• Ensure alignment with enterprise priorities and maintain strong delivery discipline.
• Reinforce responsible innovation and embed risk‑aware practices across the automation lifecycle.

The role is accountable for managing a multidisciplinary engineering team, maintaining product and backlog hygiene, partnering with business stakeholders to identify and prioritize high‑impact opportunities, and supporting ongoing team development across both RPA and AI functions.

• Lead, mentor, and develop a cross‑functional team of RPA developers and AI engineers.
• Foster a culture of innovation, responsible AI practices, collaboration, and continuous improvement.
• Provide coaching, performance management, career development, and resource allocation.
• Promote alignment on engineering best practices across RPA and AI development disciplines.
• Embed responsible automation principles into team development and onboarding.

• Serve as Product Owner for the Intelligent Automation capability.
• Maintain the automation roadmap across rule‑based, probabilistic, and hybrid solutions.
• Ensure backlog hygiene with clear feature definitions, refined user stories, and acceptance criteria.
• Prioritize work based on business value, risk, impact, and strategic objectives.
• Partner with Architecture and Quality teams to uphold engineering standards and lifecycle processes.
• Ensure all automation solutions comply with privacy, security, and regulatory requirements.
• Maintain documentation and audit trails supporting compliance and incident.

• Collaborate with business leaders to identify automation opportunities across RPA, advanced analytics, and AI-driven workflows.
• Facilitate discovery workshops and intake sessions to understand business requirements and pain points.
• Translate business needs into actionable technical requirements for both RPA and AI engineering teams.
• Communicate roadmap progress, risks, KPIs, and delivery timelines to stakeholders and senior leadership.

• Oversee development, deployment, monitoring, and continuous improvement of automation solutions.
• Ensure adherence to best practices across RPA, AI model development, security, and responsible AI guidelines.
• Monitor production performance, KPIs, and scalability of deployed automation.
• Guide integration of AI solutions and RPA workflows into cohesive intelligent automation products.
• Drive reusability, standardization, and documentation across automation assets.
• Implement ongoing assessments and reviews to mitigate technical, ethical, and operational risks.
• Support continuous feedback loops and report compliance‑related metrics to executive leadership.

• Lead a team of between 3 and 8 engineers providing day‑to‑day supervision and as well as ongoing performance and career management.
• Support recruiting, interviewing, and onboarding of new team members.
• Promote professional development and continued upskilling in both RPA and modern AI engineering practices, embedding governance literacy and compliance awareness into training.
• Track team performance metrics, including adherence to governance, risk, and compliance standards, and report outcomes to Senior Leadership.
• Ensure onboarding and performance management processes incorporate documentation, risk awareness, and compliance with internal and external policies throughout the employee lifecycle.

• Preferred:
  Bachelor's Degree in Information Systems, Computer Science, Engineering,…