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Overview

The AI Business Analyst plays a critical role to partner the business in identifying, evaluating, and advocating for AI-driven solutions that align with the bank's strategic goals and stakeholders needs. This role involves engaging with AI vendors, assessing their solutions, and driving adoption by securing buy-in from key decision-makers across the organisation. The ideal candidate is both technically proficient and business-savvy, with strong persuasion and relationship-building skills.

Responsibilities:

• Explore AI Solutions: Stay updated with emerging AI technologies and vendor offerings to identify solutions that align with the bank's objectives.

• Vendor Management: Engage and build relationships with AI vendors, evaluating their solutions for potential implementation within the bank.

• Business Alignment: Work closely with business units, technology teams, and other stakeholders to understand their needs and challenges, recommending AI solutions that drive value.

• Stakeholder Engagement: Present AI solutions to business and technology leaders, articulating the benefits and potential impact on banking operations.

• Influence & Persuasion: Drive adoption by obtaining buy-in from stakeholders, addressing concerns, and demonstrating the value proposition of AI technologies.

• Implementation Support: Collaborate with relevant teams to facilitate the onboarding, integration, and execution of selected AI solutions.

• Performance Monitoring: Assess the success and effectiveness of implemented AI solutions, ensuring they meet business objectives and deliver expected outcomes.

• Compliance & Risk Considerations: Work with compliance, risk, and legal teams to ensure AI solutions adhere to regulatory and internal policies.

Skills and Experiences We Are Looking For:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• Strong analytical and problem-solving skills, with the ability to interpret complex data and identify patterns.

• Excellent organisational and time management skills, with the ability to prioritise tasks and meet deadlines.

• Proficiency in Microsoft Office Suite and other productivity software.

• Excellent written and verbal communication skills, with the ability to communicate technical information to non-technical stakeholders.

• Ability to work independently with minimal supervision, while also collaborating effectively with team members.

• Detail-oriented and able to maintain accuracy and attention to detail when processing and analysing data.

• Willingness to learn new technologies and processes quickly, adapting to changing requirements and priorities.