Product Manager

Intercontinental Exchange Holdings, Inc.•Jacksonville, FL

About The Position

We are seeking an experienced Product Manager to join our team. In this role, you will turn strategy, customer needs, and stakeholder goals into clear requirements the team can build — keeping delivery teams focused on the highest-value work and ensuring everyone shares the same understanding of scope, decisions, and priorities. You will own the detailed definition of what needs to be built, bridging business and customer needs with technical execution across one or more product areas. The ideal candidate is a strategic thinker who leverages data, strong relationships, and emerging AI capabilities to drive impactful outcomes and continuous improvement.

Requirements

Bachelor’s degree in Business, Computer Science, Economics, Finance, Mathematics, or equivalent combination of education and experience.
5+ years of experience in product management, business analysis, or a related field, with direct involvement in complex software development lifecycles.
Knowledge of default servicing — specifically foreclosure and/or bankruptcy.
Knowledge of financial services, trading, clearing, or banking industry experience.
Ability to define product strategy, create roadmaps, and manage backlogs aligned with business goals.
Demonstrated success working with engineering teams to deliver system integrations, APIs, and data-driven solutions.
Strong analytical mindset with the ability to interpret complex data and translate it into actionable insights.
Excellent communication and stakeholder management skills, with the ability to influence across business and technical teams.
Competency in data analysis and Microsoft Office tools (particularly SQL, Word, and Excel).
Strong business-writing skills and attention to detail, with keen organizational and time management skills.
Understanding of web applications, data structures, APIs, XML, and tools such as Jira and Confluence.
Basic understanding of AI concepts and their practical applications in a product and business context.
Background in leveraging AI for predictive analytics, automation, or data-driven decision-making.
Familiarity with using AI tools to accelerate the creation of use cases, story development, and software development workflows.
Knowledge of AI in supporting workflow automation, with the ability to identify and advocate for automation opportunities within the product lifecycle.

Nice To Haves

Experience using Azure DevOps (ADO) highly preferred.

Responsibilities

Define and maintain clear, testable requirements, including features, workflows, business rules, and acceptance criteria, and manage assumptions and constraints throughout the product lifecycle.
Translate business and customer needs into well-defined user stories and use cases, ensuring alignment with regulatory and operational standards.
Develop analysis artifacts including activity diagrams, user interface schematics, technical specifications, process flows, and API documentation.
Adhere to change-control procedures to ensure requirements changes are agreed upon by the release team and all stakeholders.
Rank and manage the backlog based on value, risk, dependencies, team capacity, and readiness.
Assist in prioritizing and tracking requested system enhancements, ensuring the team is always focused on the highest-impact items.
Monitor product performance and adoption after release, using data-driven insights to iterate, improve functionality, and apply learnings to future work.
Serve as the bridge between business stakeholders, customers, and technical teams — keeping everyone aligned on scope, priorities, and decisions.
Organize and facilitate requirements gathering sessions, reviews, and issue resolution involving multiple stakeholders and time zones.
Engage with clients and internal stakeholders to define business requirements, document pain points, and communicate project status.
Present product information, roadmap updates, and industry thought leadership to internal and external audiences as needed.
Verify that work meets expectations and support UAT, release notes, and operational preparation prior to deployment.
Collaborate with engineering, data, and architecture teams to design scalable system integrations and API-based solutions.
Ensure documentation and training materials are created to support internal users and external partners during onboarding and transitions.
Track product performance after release, provide support, and apply learnings to inform future product decisions and roadmap priorities.
Stay current on industry trends, regulatory changes, and emerging technologies — including AI — to inform product strategy and innovation.