AI & Data Solutions Analyst

• Fundamentally rethink and redesign processes end-to-end, leveraging AI/ML and data as enablers
• Develop solution designs that challenge existing ways of working, identifying where AI can eliminate manual effort, improve decision-making, or unlock new capabilities
• Collaborate with stakeholders to document current-state processes, identify gaps and inefficiencies, and translate the target-state vision into user stories and functional deliverables
• Facilitate ideation and scoping workshops to prioritize new AI and data use cases for the Enterprise Data & Solutions platform
• Define and present conceptual approaches and solution options, driving stakeholder decision-making
• Prepare training materials and lead change management efforts to drive adoption of new tools and solutions
• Translate business requirements into clear technical specifications for AI/ML solutions, acting as the bridge between business and technology teams
• Support the configuration, testing, and deployment of AI tools and data-driven platforms; build and test prototypes to validate technical and business feasibility
• Prepare test cases, execute user acceptance tests, and obtain sign-off from business stakeholders
• Stay current with generative AI and ML developments and proactively identify opportunities to apply them within the firm
• Act as product owner for AI/data solutions, maintaining and prioritizing the product backlog, defining acceptance criteria, and ensuring delivered increments meet business objectives
• Manage the end-to-end delivery process in close collaboration with AI/ML engineers and data specialists – organizing sprints, tracking progress, removing blockers, and keeping stakeholders aligned

• University degree in Business, Economics, Business Informatics, Information Technology, Data Science, or a related field
• At least 2–3 years of professional experience in AI/ML solution design, data-driven transformation, or AI product delivery in financial services, technology, or consulting
• Solid understanding of AI/ML concepts, including generative AI and large language models
• Proven analytical and problem-solving skills with the ability to quickly grasp business needs and technical constraints
• Experience working with data including data modeling, analysis, and interpretation to support requirements prioritization and solution design
• Comfortable working hands-on with tools and prototypes; basic familiarity with Python, SQL or React is a plus
• Proactive personality who takes ownership, uses initiative, and delivers reliably with high integrity
• Constructive challenger of the status quo, always looking for better ways to improve processes and outcomes
• Strong team player, able to collaborate effectively at all levels of the organization
• Excellent written and verbal communication skills

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