Solution Analyst II- AI

Join our team as a Solutions Analyst II and be at the forefront of driving technical innovation and strategic business solutions. Your role will be key to transforming complex challenges into efficient tailored solutions fostering both personal and professional growth.

As a Solutions Analyst II in Global Private Bank Tech Investments team you will play a pivotal role in bridging the gap between product owners business operations and software developers by leveraging your technical and analytical reasoning skills. Youll elicit and document business and data flow requirements translating them into well-structured and technically feasible solutions. Your adaptability and ability to lead through change will be crucial in ambiguous situations and in effectively handling dependencies. Your strong foundation in data analytics will be instrumental in developing innovative architecture designs and operating systems. Excellent verbal and written communication skills will ensure clear and compelling exchanges with diverse stakeholders fostering collaboration and driving the success of the companys projects and programs.

Job responsibilities

• Contribute to data-driven decision-making by extracting insights from large diverse data sets and applying data analytics techniques
• Collaborate with cross-functional teams to provide input on architecture designs and operating systems ensuring alignment with business strategy and technical solutions
• Assist in managing project dependencies and change control by demonstrating adaptability and leading through change in a fast-paced environment
• Promote continuous improvement initiatives by identifying opportunities for process enhancements and applying knowledge of principles and practices within the Solutions Analysis field

• Guide the work of others ensuring timely completion and adherence to established principles and practices

Required qualifications capabilities and skills

• Experience in solutions analysis with a focus on eliciting and documenting business and data flow requirements
• Demonstrated proficiency in data fluency including experience with data extraction interpretation and making data-informed decisions
• Developing technical fluency in relevant platforms software tools and technologies with a curiosity to continuously expand technical knowledge
• Experience in data visualization and analytics including understanding of vendor products and managing vendor relations

• Strong written communication skills with a proven ability to effectively translate complex information for diverse stakeholder audiences

Preferred qualifications capabilities and skills

• Experience integrating large language models into enterprise workflows via APIs (e.g. Claude API OpeAI APIs)
• Practical expertise with retrieval-augmented generation patterns including embeddings and vector stores and grounding strategies to reduce hallucinations.
• Proficiency in prompt engineering and evaluation with acceptance criteria for non-deterministic outputs human-in-the-loop review design and risk controls for model failures.
• Familiarity with LLM orchestration frameworks (e.g. LangChainl)
• Background in enterprise platforms with Agile delivery (Scrum/Kanban) using JIRA/Confluence Python/SQL/REST APIs and data visualization tools to drive product decisions.