Description
Shape the future of product delivery while crafting solutions that enhance and optimize customer experiences. Lead end-to-end processes, manage dependencies, and liaise with stakeholders as part of a team at the forefront of innovation.
As a Product Delivery Manager in Finance Decision Optimization, you work to enhance and optimize the way products are delivered to customers. As a key member of the team, you create solutions and efficiencies that enable successful implementations in an expedient and organized way. The Finance Decision Optimization team is responsible for the development, delivery, and automation of quantitative modeling solutions for the Finance organization. The team is comprised of product and analytics professionals that partner across Chase’s business, software development, and modeling teams to execute the implementation of statistical and ML/AI models in Finance. This position will support Chase’s Deposits business – the largest retail deposit franchise in the country. As a member of the team, you will use a combination of product and program management skills to help ensure the successful implementation of Finance models and their integration with the business to ultimately deliver value.
Job responsibilities
Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination
Leads the completion of change management activities across functional partners and ensures adherence to the firm’s risk, controls, compliance, and regulatory requirements
Effectively manages timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners
Partner with the senior Deposits area lead to craft the strategic vision for the product over the next 1-2 years
Own and continuously refine the product roadmap to provide an accurate view on when we will reach project milestones
Develop requirements for our tech and modeling teams with input from the business; continuously refine these as we discover new details and work through issues
Think deeply about how the multiple project teams interact to identify future roadblocks, bottlenecks, and dependencies
Communicate proactively with technical and business stakeholders; effectively explain modeling and statistics concepts to business users and business concepts to modelers and developers
Direct our embedded analytics teams to address business questions and prepare analyses that help further modeling goals
Optimize the usage of deposit-related data across multiple workstreams for the area product and across other Finance products
Partner effectively with design team to ensure best practices being met on what and how we deliver to internal stakeholders
Required qualifications, capabilities, and skills
5+ years of experience or equivalent expertise in product delivery or a relevant domain area
Demonstrated ability to execute operational management and change readiness activities
Strong understanding of delivery and a proven track record of implementing continuous improvement processes
Experience in product or platform-wide release management, in addition to deployment processes and strategies
Undergraduate degree in a quantitative field
5+ years of experience in one or more of the following fields: software development, QA, requirements analysis, product/program/project management, or another quantitative field
Results-driven, prioritizes progress over perfection and consistently advances deliverables
Maintains meticulous organization and manages multiple tasks effectively in complex, multi-stakeholder environments
Comfortable collaborating across varying technical levels, from business users to advanced modelers and statisticians
Possesses basic programming skills (Python or similar) and/or experience with analytic tools like Alteryx
Demonstrates rapid learning ability for new business areas, software tools, and skills
Preferred qualifications, capabilities, and skills
Proficient knowledge of the product development life cycle, design, and data analytics
MBA or graduate degree
Familiarity with Agile development