Associate-Data Transformation and Innovation

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. Make a significant impact on business reporting and analytics by helping deliver data and artificial intelligence-enabled capabilities. Job summary As a Senior Product Associate within Corporate and Investment Banking Planning and Analysis Data Transformation and Innovation , you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact on business reporting and analytics. You will support product strategy and delivery for data and artificial intelligence-enabled capabilities, translating user needs into a prioritized backlog and actionable requirements. You will also partner across business, technology, and data teams to improve data consumption patterns and influence decision-making through analytics. Job responsibilities Partner with the Product Manager to identify new product opportunities that reflect customer and market needs through user research and discovery Consider and plan for upstream and downstream implications of new product features on the overall product experience Support the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers Analyze, track, and evaluate product metrics, including work to time, cost, and quality targets across the product development life cycle Write requirements, epics, and user stories to support product development Develop and execute data and product strategy that delivers value to end users, with emphasis on reporting, analytics, and planning modernization Conduct user interviews, prioritize user needs, test ideas, and convert findings into scalable solutions Design and deliver artificial intelligence-enabled product capabilities, including experience with multi-agentic workflows, Model Context Protocol, and related emerging orchestration patterns to drive intelligent automation and decision support Understand financial data models across multiple data products and apply that understanding to define data requirements and acceptance criteria Collaborate and present technical information in a clear and concise manner to both technical and non-technical audiences, including senior stakeholders Required qualifications, capabilities, and skills 3+ years of experience or equivalent expertise in product management or a relevant domain area Proficient knowledge of the product development life cycle Experience in product life cycle activities including discovery and requirements definition Developing knowledge of data analytics and data literacy Excellent communication skills, effectively conveying complex data concepts to both technical and non-technical stakeholders Demonstrated ability to formulate product strategy, maintain a roadmap, and manage a backlog with clear prioritization rationale Strong understanding of data models and business intelligence tools Financial services industry domain expertise, with comfort operating in complex, highly governed environments Bachelor’s degree or equivalent practical experience in a relevant field (for example, Business, Computer Science, Information Systems, Engineering, Economics) Preferred qualifications, capabilities, and skills Knowledge of cloud-based data platforms and technologies such as Amazon Web Services and Databricks Experience with emerging data consumption tools and patterns, including self-service analytics enablement Experience with artificial intelligence and machine learning technologies in product development, including familiarity with large language models, multi-agentic workflows, or orchestration patterns Experience translating complex financial data and controls constraints into clear product requirements and testable acceptance criteria Familiarity with business intelligence tools and experience with Structured Query Language for data analysis and reporting