Primary purpose

The Engineering Manager for the AI & Automation Squad is accountable for building and leading an engineering team that delivers scalable, secure, and business-driven AI and automation solutions across enterprise business applications.

Key Responsibilities

• Lead and grow the AI & Automation engineering squad within the Business Applications Tribe.
• Own engineering delivery, technical quality, reliability, and operational excellence for AI and automation solutions.
• Establish modern engineering practices aligned with Enterprise Engineering, including a product mindset, DevOps, and platform thinking.
• Partner closely with Product Management, Business Application Leads, Architecture, Security, and Data teams.
• Drive adoption of AI, automation, and low-code platforms to improve efficiency and decision-making across the organization.
• Ensure solutions are scalable, compliant, and reusable across Finance, HR, and other business domains.

What You Will Do

• Build, coach, and performance-manage engineers, including AI engineers, automation engineers, and low-code developers.
• Define the squad mission, roadmap, and technical priorities in alignment with tribe and enterprise strategy.
• Oversee the design and delivery of:
  • AI-powered assistants and copilots
  • Process automation, including workflow automation, RPA, and orchestration
  • Intelligent integrations across Google, Microsoft Dynamics 365, Power Platform, and other enterprise systems
• Establish and enforce engineering standards for coding, testing, security, monitoring, and CI/CD.
• Embed responsible AI practices, data governance, and compliance into solution design and delivery.
• Manage dependencies, risks, and technical debt.
• Act as the escalation point for delivery, quality, and operational issues.
• Support hiring, onboarding, and capability development as the squad grows.

Success measures (KPIs)

• Delivery predictability, including on-time and on-scope delivery of squad commitments.
• Engineering quality, including reliability, defect rates, and maintainability.
• Platform scalability and reuse, including shared components and automation reuse rate.
• Team health and engagement.
• Compliance and security adherence, including audit findings and policy violations.
• Experience managing a team of 3 engineers, with plans to scale through hiring.
• Experience building automations and AI agents in enterprise contexts.

Experience 

• 5+ years of experience in software or platform engineering roles.
• 2+ years of people leadership experience.
• Strong experience with enterprise business applications, preferably including:
  • Microsoft Dynamics 365, including Finance, HR, CE, or Business Central
  • Low-code platforms such as Power Platform, including Power Automate, Power Apps, and Copilot Studio
  • Google AppSheet
  • n8n
  • UiPath
• Hands-on understanding of automation patterns, including workflow automation, RPA, and event-driven automation.
• Working knowledge of AI and ML concepts and applied AI in enterprise contexts.
• Experience operating in product-centric or platform teams.
• Solid grasp of cloud platforms, preferably Azure or AWS.
• Strong understanding of DevOps practices and CI/CD pipelines.
• Experience with API-based integrations and enterprise architecture principles.
• Experience working in regulated environments with security, privacy, and compliance requirements.

Soft skills

• Strong people leader with a coaching and growth mindset.
• Excellent communication skills across technical and non-technical audiences.
• Business-oriented thinking with the ability to connect engineering outcomes to business value.
• Comfortable navigating ambiguity and driving change in transformation environments.
• Collaborative and pragmatic problem-solver.
• Ability to influence without authority across tribes and functions.
• High ownership, accountability, and a bias for action.