Senior Business Analyst | $145k (Schaumburg)
Feldspar & Flint LLC
Job Description
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. Support AI product roadmap development in collaboration with product and data teams 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 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 Stay current on AI trends, tools, and competitive developments Deliver regular updates on product performance, insights, and risks Serve as a resource for AI-related analytics and governance topics 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 ~ healthcare, financial services) ~ Exposure to AI governance, model validation, or compliance frameworks ~ 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