Analytics Strategy Program Manager-Senior Associate

Overview

Harness your product and analytical expertise to design, test, and scale data-informed strategies that shape how we build products and create value across Chase! Join our Product & Experience Analytics Team and drive pilot initiatives that use data, experimentation, and financial rigor to improve productivity and decision-making across the product and software development lifecycle.

• Serve as a consultant and product strategist to design, implement, and analyze pilot programs that test improvements in product development efficiency.
• Partner with product, analytics, and finance to frame hypotheses, define metrics, and design experiments that measure business impact.
• Build and iterate on business case frameworks, including identifying inputs needed to quantify ROI over time.
• Conduct research to inform strategic proposals for inclusion in internal-facing products designed to drive productivity and efficiency across all employees engaged in building and maintaining the 107 software products at Chase.
• Conduct data-driven analyses to assess opportunities and develop recommendations on where and how to pilot new approaches.
• Communicate complex ideas with clarity, translating outcomes into narratives that support decision-making by senior leaders (CFO, CTO, CPO)
• Leverage product thinking and design frameworks to ensure pilots address real user and business needs; coach others to inject the same practices into their work.
• Maintain a rigorous controls environment to ensure accurate and timely results.

• 3+ years of industry experience in consulting, solution design, or business analytics roles (e.g., marketing analytics, sales analytics, business insights)
• Experience with data analytics and/or visualization techniques (e.g. SQL, Python, Tableau, Alteryx), as well as big data technologies (e.g. Hadoop, Cassandra, AWS)
• Excellent communication, with an ability to convey the strategic vision in a digestible manner for varying technical and senior audiences
• Experience with design thinking practices and tools (e.g., Lucid, Figma, customer journey mapping) and product management principles (e.g., Agile)
• Consulting orientation with ability to influence and effectively lead cross-functional teams
• Self-starter with out-of-the box problem solving skills and a drive to bring new ideas to life
• Experience and knowledge of data science and analytical methodologies and approaches, and familiarity with various artificial intelligence functionalities
• Undergraduate degree in a quantitative discipline

• Experience at a consulting firm, in technology product organizations, or financial services/banking industry
• Understanding of the financial services or retail banking industry