Senior Business Analyst | $145k

Feldspar & Flint LLC is a Recruiting & Staffing firm that specializes in operational strategy across core business functions. Our client is seeking an AI Product Analyst to support the development and optimization of AI-driven digital products. This role sits at the intersection of product, data, and governance, ensuring AI solutions are strategically aligned, operationally effective, and compliant with regulatory standards. The position plays a key role in translating data insights into actionable product decisions and enhancing overall digital experience outcomes. Key Responsibilities Support AI product roadmap development in collaboration with product and data teams Contribute to rollout planning for new features, models, and enhancements Translate business objectives into data-driven product initiatives Evaluate regulatory requirements and assess risk exposure related to AI implementations Support governance frameworks to ensure compliance and responsible AI usage Identify potential risks and recommend mitigation strategies Monitor AI model performance and data integrity across platforms Support validation processes to ensure accuracy, reliability, and consistency Track key performance indicators and recommend improvements Oversee day-to-day performance of AI products and address issues impacting functionality Coordinate with technical teams to resolve incidents and optimize performance Analyze user data, product metrics, and AI outputs to inform prioritization and planning Provide insights to support backlog refinement and sprint execution Stay current on AI trends, tools, and competitive developments Identify opportunities to enhance product capabilities and drive innovation Deliver regular updates on product performance, insights, and risks Serve as a resource for AI-related analytics and governance topics Qualifications Bachelor’s degree in Computer Science, Data Science, Business, or related field required Advanced degree (MBA, MS) preferred 5+ years in product analytics, AI, data analysis, or related roles Experience supporting digital or AI-driven product initiatives Familiarity with Agile development environments Experience working in regulated environments (e.g., healthcare, financial services) Exposure to AI governance, model validation, or compliance frameworks Experience mentoring or guiding team members Ability to interpret complex datasets and translate findings into actionable insights Understanding of AI/ML concepts, deployment, and performance monitoring Agile Methodology:

Experience working in iterative development environments Proficiency with Excel, SQL, Python, Tableau, or similar analytics tools