• The AI Product Manager is independently responsible for defining product roadmaps and leading development for multiple new digital offerings to expand digital services at Cedars-Sinai. • Managing key initiatives (end-to-end lifecycle), from ideation to implementation. • Conducts research to evaluate best practices and analyzes data to monitor project performance and identify areas for improvement. • Ensure that the ongoing investment in AI translates into scalable solutions with high uptake across departments. • Drive adoption and maximizing opportunity: engaging with clinicians and staff, integrating solutions into workflows, and aligning deployments with organizational goals. • Define KPIs and track outcomes (clinical, operational, financial, satisfaction).

• Lead superior program management and measurable performance to drive net sales, operating profit, and market share of the medical exam glove unit. • Play a critical role in maintaining and growing the business. • Gather insights from multiple sources and synthesize into a compelling story for the appropriate audience (customers, internal leadership, and sales team). • Serve as the internal and external representative for the exam glove offering, working closely with the sales teams, key customers and leadership team. • Provide leadership for commercial program development and execution (including pricing, sales collateral, training). • Develop and refine marketing, communication and market activation plans. • Monitor and track market share using available data analytics tools

• Lead AI-driven transformation – Act as a thought leader in financial services, shaping enterprise-wide Data & AI strategies with a strong focus on Generative AI (GenAI). • Bridge AI and Business – Define AI-powered banking solutions that align technology advancements with customer needs and business objectives. • Guide C-Level Stakeholders – Establish strong relationships with senior banking executives, guiding them through AI adoption, regulatory considerations, and value-driven implementations. • Own the AI Product Vision – Drive the end-to-end development of GenAI solutions, collaborating with cross-functional teams including data engineers, ML experts, and business leaders. • Define Roadmaps & Execution Strategies – Oversee project scopes, planning, and execution, ensuring that AI solutions deliver measurable impact. • Deliver AI & Data Solutions – Support data visualization, model development, and AI application rollouts, ensuring seamless integration into banking ecosystems. • Enhance Hiflylabs' AI Offerings – Lead research and strategy development for new GenAI solutions in financial services, contributing to go-to-market strategies.

• Own the overall performance, growth, and financial health of the Valenz Bluebook product, with direct accountability for contribution margin, revenue growth, and forecast accuracy. • Define and execute the product strategy and roadmap, prioritizing initiatives that increase member adoption, engagement, savings, and long-term client value. • Lead performance management for the product by tracking and acting on key indicators including utilization, conversion, savings, rewards engagement, and member satisfaction. • Partner with Technology to deliver roadmap initiatives on time, ensuring scalable, reliable solutions from concept through launch. • Collaborate with Member Engagement to design, test, and optimize campaigns and experiences that improve awareness, utilization, and call center effectiveness. • Work closely with Revenue and Sales teams to support retention, renewals, and strategic sales opportunities by clearly articulating product value and performance. • Identify, evaluate, and execute partnerships or integrations that expand Valenz Bluebook’s capabilities, differentiation, and revenue potential. • Partner with Finance on pricing strategy, margin management, and forecasting, and with Legal on contract structure and governance. • Serve as the executive owner and internal authority for Valenz Bluebook, aligning cross-functional teams around priorities, outcomes, and performance expectations. • Use data, experimentation, and market insight to continuously evolve the product and strengthen its role within the broader Valenz ecosystem.