AI and Automation Senior Section Manager

Hawaii State Federal Credit Union•Honolulu, HI

4d•$108,900 - $142,905•Onsite

About The Position

The AI and Automation Senior Section Manager is responsible for leading the credit union's Artificial Intelligence (AI) and Automation function, driving innovation through evaluation, piloting, development and implementation. As the key resource for AI and Automation, you will operate to support solutions that improve employee productivity, operational efficiency, business processes, and member experiences. This role serves as an internal consultant to business units, identifying opportunities to leverage emerging technologies and delivering solutions that create measurable business value. As the Senior Section Manager, you'll lead and develop a small, focused team of AI & Automation Engineers and Specialists while actively participating in the design, development, implementation, and support of AI-powered solutions, intelligent agents, robotic process automation (RPA), and low-code/no-code applications. The Senior Section Manager researches and evaluates emerging technologies, develops proof-of-concepts, and executes the AI and Automation roadmap. This will be completed through the implementation and management of enterprise AI and automation platforms, the Citizen Developer Program, and related governance practices, to ensure solutions are secure, scalable, and aligned with organizational objectives. This position is primarily located at our HSFCU Headquarters in Downtown Honolulu.

Requirements

Bachelor's degree in Information Technology, Computer Science, or related field or equivalent experience
5+ years of experience in administrating, supporting, and maintaining enterprise platforms.
3+ years of experience managing technical teams and managing enterprise IT projects.
Experience partnering with business stakeholders to identify opportunities, define requirements, and deliver technology solutions that improve business outcomes.
Experience implementing and supporting enterprise technology platforms and vendor solutions.
Experience evaluating, developing, or supporting low-code/no-code, automation, or emerging technology solutions.
Ability to identify business challenges, analyze processes, and recommend innovative AI and automation solutions that deliver measurable business value.
Ability to translate business requirements into technical designs, solution architectures, and implementation plans.
Ability to lead, develop, coach, and mentor technical professionals while fostering a culture of innovation, continuous learning, and accountability.
Ability to evaluate emerging technologies and determine their practical application within a regulated financial services environment.
Advanced oral, written, presentation, and facilitation skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences.
Ability to build collaborative relationships and influence decision-making across all levels of an organization.
Advanced knowledge of Artificial Intelligence (AI), Generative AI, AI Agents, and AI-assisted productivity solutions.
Advanced knowledge of automation technologies, robotic process automation (RPA), workflow orchestration, and process automation methodologies.
Advanced knowledge of software development concepts, application integrations, APIs, scripting, and modern development practices.
Advanced knowledge of low-code/no-code development platforms and solution design methodologies.
Advanced knowledge of business process analysis, process improvement, and automation opportunity identification.
Advanced knowledge of solution architecture, technical design, and implementation of enterprise AI and automation solutions.
Proficient knowledge of project management methodologies and tools.
Proficient knowledge of information security, privacy, governance, and risk management principles.
Proficient knowledge of applicable regulations, laws, and industry standards affecting financial institutions.

Nice To Haves

Project Management Professional (PMP)
ITIL Foundation
Lean Six Sigma
Microsoft Certified: Power Platform Solution Architect Expert
Microsoft Certified: Power Platform Functional Consultant Associate
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Applied Skills for Copilot Studio
UiPath Certified Professional
Relevant Artificial Intelligence, Automation, Low-Code/No-Code, or Cloud Platform certifications

Responsibilities

Works with the Enterprise Platforms Department Manager to execute the AI and Automation roadmap in support of departmental and organizational objectives.
Leads the AI & Automation Section, fostering a culture of innovation, continuous improvement, experimentation, and responsible use of emerging technologies.
Oversees recruitment, retention, coaching, performance management, and professional development of AI & Automation Engineers and Specialists.
Collaborates with department leadership to evaluate, prioritize, and resource AI and automation initiatives based on business value, complexity, risk, and organizational readiness.
Establishes technical standards, development practices, and solution delivery methodologies while building organizational capabilities through mentorship and continuous learning.
Research, evaluates, and pilots emerging technologies to identify opportunities that improve operational efficiency, employee productivity, and member experiences.
Assesses the business value, technical feasibility, risks, and organizational readiness of emerging technology solutions.
Develops recommendations for technology adoption, expansion, or retirement based on business needs and strategic objectives.
Partners with stakeholders to identify opportunities for emerging technology solutions.
Leads and actively participates in the design, development, implementation, and support of enterprise technology solutions, including intelligent agents, process automation, and low-code/no-code applications.
Provides technical leadership on solution architecture, integrations, platform capabilities, and development best practices.
Oversees the lifecycle of technology solutions, ensuring quality, scalability, maintainability, and supportability.
Serves as an internal consultant to business units, facilitating discovery sessions, process assessments, and stakeholder engagement activities.
Analyzes business processes and workflows to identify opportunities for simplification, standardization, productivity improvement, and automation.
Assists stakeholders in evaluating solution options, expected benefits, implementation considerations, and associated risks.
Supports organizational adoption of new technologies through education, consultation, and implementation guidance.
Leads the planning, coordination, and delivery of AI, automation, and low-code initiatives in support of departmental and organizational objectives.
Collaborates with stakeholders, technology teams, vendors, and project resources to define scope, priorities, timelines, and success criteria.
Manages project activities, dependencies, risks, and resource allocation to support successful solution delivery.
Provides project status updates, risks, issues, and recommendations to department leadership and stakeholders.
Ensures projects are delivered in accordance with established governance, change management, security, and compliance requirements.
Ensures solutions are developed and implemented in compliance with established governance, security, privacy, and regulatory requirements.
Works with Information Security, Risk Management, Compliance, and Data Governance teams to identify and mitigate technology risks.
Ensures appropriate documentation, testing, approval, and change management practices are followed.
Recommends improvements to governance processes and controls related to emerging technology solutions.
Serves as the product owner for enterprise AI and automation platforms, ensuring capabilities align with business needs and organizational objectives.
Manages platform roadmaps, evaluates new features and capabilities, and recommends enhancements that improve business value and user adoption.
Maintains relationships with AI and automation vendors, participating in roadmap discussions, capability reviews, and implementation planning.
Promotes platform adoption and expansion through effective governance, education, and use case development.
Monitors platform utilization and adoption, recommending improvements to maximize business value and return on investment.