Associate-Data Transformation and Innovation

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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