Responsibilities

• Collaborate with cross-functional teams (including product owners, developers, and data scientists) to gather, analyze, and document business requirements.
• Lead Agile/Scrum ceremonies and manage the backlog using tools like Jira.
• Write clear, actionable user stories and acceptance criteria based on stakeholder requirements.
• Examine and analyze data sets from various areas across the organization, identifying key insights and relevant data points to support AI/ML model training and inference.
• Work closely with data engineers and data scientists to define data extraction, transformation, and loading (ETL) processes for feeding relevant data into LLMs.
• Understand and map organizational data flows and how they relate to operational risk, identifying key data sources that can enhance the effectiveness of GenAI models.
• Communicate findings and recommendations to both technical and non-technical stakeholders, ensuring alignment on data strategy.
• Support testing and validation efforts to ensure data quality and accuracy in AI model outputs.

Required Experience

• Proven experience as a Business Analyst in an Agile/Scrum environment (5+ years).
• Proficiency in Agile methodologies, including backlog management and story writing using tools like Jira.
• Strong analytical skills with experience in examining complex data sets from various domains and understanding their relevance to business objectives.
• Familiarity with data pipelines and ETL processes and how they relate to AI/ML model training.
• Ability to translate business requirements into technical specifications and work closely with data science teams.
• Experience in operational risk management or financial services is a plus.
• Excellent communication and stakeholder management skills.
• Problem-solving mindset with the ability to work in a fast-paced, collaborative environment.

Preferred Experience

• Consulting experience.
• Knowledge of large language models (LLMs) and their data requirements.
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI) and/or SQL for data exploration.
• Experience working on GenAI projects or familiarity with AI/ML concepts.