Change Manager, AI & Automation

Job Description

Job Summary

The Change Manager, AI & Automation will lead and manage organizational change initiatives associated with the implementation of artificial intelligence and automation solutions. The role focuses on driving adoption, minimizing resistance, and ensuring that technology-enabled changes deliver intended business value. This position works closely with technology, operations, risk, and business teams to embed AI and automation capabilities into day-to-day operations in a controlled and sustainable manner.

Key Duties & Responsibilities

Change strategy and adoption planning:

• Develop and execute a structured change management strategy for AI and automation initiatives across the Bank.
• Define change impact assessments for automation initiatives, including people, process, skills, roles, and operating model implications.
• Create phased adoption plans aligned to automation rollouts, ensuring readiness before go-live.
• Support in developing an AI maturity model – 5 years plan.

Stakeholder engagement and alignment:

• Identify and map key stakeholders across Business Units, Operations, IT, HR, Risk, Compliance, and Audit.
• Act as a trusted liaison between technical automation teams and business leaders to ensure alignment and shared understanding.
• Facilitate leadership alignment sessions to clarify the intent, scope, and limitations of AI and RPA.
• Proactively identify and address resistance, misconceptions, and concerns related to automation and AI adoption.

Communication and awareness:

• Design and deliver targeted communication plans that demystify AI and RPA for different audiences (executives, managers, frontline staff).
• Translate technical automation concepts into simple, business-friendly language.
• Develop FAQs, briefing packs, success stories, and use-case narratives to build confidence and trust in automation initiatives.
• Actively participate in the show and tell sessions and support in clarifying issues raised.

Capability building and AI literacy:

• Support the development and rollout of AI and automation awareness programs, including introductory training, workshops, and roadshows.
• Work with HR and L&D teams to embed AI and automation literacy into learning curricula.
• Promote a culture of continuous improvement, innovation, and responsible use of AI.

Change risk and governance support:

• Identify people and adoption risks associated with automation initiatives and propose mitigation actions.
• Ensure change activities align with bank policies, ethical AI principles, and regulatory expectations.
• Support internal and external audit engagements by providing evidence of structured change management and adoption controls.

Benefits realization and feedback:

• Track adoption metrics (usage, compliance, satisfaction) post-implementation.
• Gather feedback from business users and stakeholders to inform continuous improvement.
• Partner with reengineering and automation teams to ensure automation delivers intended business outcomes.

Educational Qualifications, Experience, & Skills Required

• Bachelor’s degree in business administration, Human Resources, Communications, Psychology, Organizational Development, or a related field.
• Certified Change Management Professional (Prosci, ACMP, or equivalent).
• Agile Change Management certification.
• Training or certification in Digital Transformation or AI fundamentals
• 5–8 years’ experience in change management, organizational transformation, or enterprise adoption initiatives.
• Proven experience supporting technology-enabled change in banking or other regulated environments.
• Hands-on experience managing resistance and cultural change during digital, automation, or systems transformation.
• Experience working with senior leadership and cross-functional stakeholders.
• Exposure to AI, RPA, or digital transformation initiatives is strongly preferred.

Core Competencies & Skills

• Deep understanding of change management methodologies (e.g., Prosci ADKAR or equivalent).
• Strong stakeholder management, facilitation, and influencing skills.
• Excellent communication and storytelling abilities.
• High emotional intelligence and conflict management skills.
• Ability to simplify complex technical concepts for non-technical audiences.
• Strong planning, execution, and follow-through capability.
• Comfort operating in ambiguity and early-stage transformation environments.