Product Owner

Kforce has a client that is looking for a Product Owner for an onsite, direct hire opportunity in Topeka, KS. Summary: Reporting to the Product Manager, this role will serve as a critical bridge between the client's trading, quant, operations, and technology teams - translating complex business needs into clear, actionable requirements and driving the delivery of high-impact product features. The ideal candidate is a proactive self-starter with strong analytical and communication skills who thrives in a fast-paced, collaborative environment. Responsibilities:

• Collaborate with the Product Manager to support the vision and roadmap of the derivatives platform and related systems
• Partner with trading, quant, operations, and technology teams to analyze business and financial data, extract key insights, and translate them into well-defined user stories and actionable requirements that align with both user needs and technical implementation
• Define and maintain a prioritized product backlog that balances business value, technical effort, and cross-team dependencies
• Work with the product engineering team to define hypotheses, run experiments, and analyze data to inform feature decisions that influence the direction of the product
• Transform business requirements into features and action items for software engineering teams
• Assist in validating the engineering team's deliverables against product requirements and acceptance criteria prior to release to business teams
• Identify and manage product dependencies and downstream impacts across the business unit to ensure successful feature delivery
• Develop and maintain comprehensive documentation for all computations and feature changes, serving as a reference manual for users and stakeholders
• 2-5 years of experience in a technology, project management, or product management role, with demonstrated hands-on ownership and a genuine interest in product development
• Familiarity with technology tools such as Snowflake, relational databases, and SQL for data extraction, analysis, and validation
• Strong analytical skills with the ability to synthesize complex data into clear insights and recommendations
• Exceptional organizational and time management skills, with the ability to prioritize effectively and make sound decisions under pressure
• Strong written and verbal communication, documentation, and collaboration skills
• Ability to manage multiple product initiatives simultaneously with a sense of urgency and attention to detail