VP, Client Service Engineering - AI Automation First Abu Dhabi Bank FAB

Lead the redesign and governance of client and operational service journeys through AI-driven automation. Drive end-to-end optimization by embedding machine learning, natural language processing, robotics, and intelligent process automation solutions.

Ensure delivery and scalability of AI automation initiatives, coordinating cross-functional teams

Define, monitor, and report performance across KPIs such as adoption, ROI, scalability, client experience, and risk.

Engage with key stakeholders across business domains to align on service priorities and drive change. Champion a culture of agile delivery, innovation, and responsible AI adoption. Familiarity with change management frameworks (e.g., ADKAR, Kotter) is desirable.

Continuous Improvement & Innovation: Identify opportunities for ongoing process improvement and innovation and align with AI automation priorities. Contribute to the adoption of structured toolkits, playbooks, and frameworks for consistent service delivery.

Provide regular updates to senior management and governance forums on progress, risks, and key decisions. Prepare, contribute, present materials for GCOO, ExCo-X and other executive committees as required.

An ideal candidate for the role has the following competencies:

• Proven leadership: Demonstrated experience in leading large-scale AI and automation initiatives within Financial Services and/or large multinational institutions.
• Cross-functional Collaboration: Ability to collaborate effectively across business, digital, operations, and data/technology teams to deliver AI solutions.
• Analytical skills: Strong understanding of AI/ML models, RPA, NLP, and intelligent automation tools, with the ability to interpret data to drive decisions.
• Communication skills: Ability to convey AI opportunities, problem statements and opportunity cases to gain buy-in from stakeholders across the organization. Good communicator with very high awareness about stakeholder s standpoint, who can formulate messaging accordingly. Capable of building relationships and collaborating with stakeholders at and above his/her level.
• Results-orientated and hands-on delivery: Track record of delivering measurable value through automation and AI initiatives
• Team management: Experience managing small teams and influencing larger cross-functional squads in agile and conventional setups
• Banking & Technologic knowledge: Solid understanding of banking products, operations, and regulations, with proven ability to leverage digital and AI technologies
• Professional certifications AI/ML, Data Science, RPA/automation tools, project management (PMP, Prince2), Agile, or change management are highly desirable.

The VP will directly lead a small team of 1 2 analysts and POCs with internal resource (DAAI) and-or external vendors. While not responsible for a large team, the role requires strong leadership, technical acumen, and collaboration skills to drive cross-functional AI initiatives and coordinate with stakeholders across business lines, technology, and support functions.

The VP will engage with stakeholders across Business Lines, Group Technology, DAAI, Risk, Finance, Legal, Compliance, Audit, GCOO and vendors to drive AI automation priorities, intelligent process redesign, and governance. This is an execution-focused role; tangible results in adoption, ROI, scalability, and risk mitigation will be key in defining success.