AI Solutions Specialist

Responsibilities

• Partner with business lines to assess transformation opportunities and determine AI applicability through structured intake and evaluation, quantifying potential ROI, efficiency gains, and business impact.
• Translate business needs into clear, outcome-driven AI use cases in alignment with the AI Center of Excellence and enterprise governance standards.
• Contribute to enterprise transformation initiatives beyond AI by applying data-driven analysis, design thinking, and solution delivery methods that enhance efficiency and business performance.
• Collaborate across all levels of the enterprise, from executive leadership to front-line operations, and cross-functional teams including Technology, Risk, Compliance, and Operations, to prototype, test, and validate AI solutions that demonstrate measurable business value and transformation potential.
• Lead discovery sessions and design workshops with subject-matter experts to identify AI-enabled opportunities for efficiency and decision improvement.
• Develop and refine knowledge bases and conversational AI agents, defining interaction logic and solution parameters for responsible AI deployment.
• Present solution recommendations to leadership teams, supporting informed decision-making and organizational readiness for adoption.
• Drive stakeholder adoption and organizational readiness through training facilitation, communication of AI value propositions, and building AI literacy that supports successful implementation and ownership transfer.
• Support the Transformation Office Director in establishing frameworks, playbooks, and repeatable methods for AI-enabled transformation, including knowledge transfer and capability building for sustainable business line ownership.
• Ensure AI solutions are implemented in alignment with the bank's ethical, regulatory, and security frameworks while maintaining consistency with Transformation Office principles, capability building, transfer-first design, and cross-functional orchestration.

Qualifications and Education Requirements

• Education: Bachelor’s degree in Science, Business, Technology, or related field required.
• Professional Experience: Minimum 4+ years of progressive experience in digital transformation, business analysis, or technology-enabled solution design within complex organizational environments. Minimum 3+ years of experience leading or contributing to enterprise transformation or automation initiatives with measurable efficiency, scalability, or client experience outcomes, driving alignment across multiple business functions.
• Demonstrated Ability: Demonstrated comfort learning and applying emerging technologies in a fast-paced, evolving environment. Understanding of governance standards and the ability to ensure initiatives align with enterprise policy, risk management, and regulatory expectations. Analytical expertise in evaluating initiatives to determine business value, efficiency gains, and measurable performance outcomes.

Key Measures of Success/Key Deliverables

• Deliver AI solutions or proofs of concept that demonstrate measurable efficiency gains or risk reduction within defined business processes.
• Document value realization through quantitative outcomes such as cost avoidance, cycle time reduction, or productivity improvement.
• Maintain alignment of AI initiatives with Transformation Office priorities and enterprise governance standards.
• Maintain strong stakeholder and executive confidence in AI enablement delivery and cross-functional collaboration outcomes.
• Contribute to the responsible AI framework and knowledge base to support scalable, future enterprise adoption.