Lead Product Owner - Finance Data and AI

What You'll Do

Product Ownership

• Maintain the roadmap for financial data products and AI solutions serving internal finance stakeholders
• Partner with Product Owners for A/R and Billing to ensure aligned roadmaps
• Identify high-impact opportunities where AI and automation can eliminate manual work, improve accuracy, and accelerate financial processes
• Balance competing priorities across multiple finance functions while maintaining a cohesive product roadmap
• Partner with finance leadership to understand evolving business needs and translate them into actionable product requirements

Stakeholder Partnership & Discovery

• Build deep relationships with Finance, Accounting, AP, and FP&A teams to understand their workflows, pain points, and opportunities
• Facilitate workshops and discovery sessions to uncover unarticulated needs and validate solution approaches
• Translate financial domain expertise into clear requirements that engineering teams can execute against
• Serve as the voice of internal customers throughout the product development lifecycle

AI Solution Development

• Define use cases for AI/ML applications in financial processes such as invoice processing, expense categorization, anomaly detection, forecasting, and financial analysis
• Work with data science and engineering teams to scope, prioritize, and deliver AI-powered features that drive measurable business value
• Ensure AI solutions are explainable, auditable, and meet financial compliance requirements
• Monitor model performance and iterate based on user feedback and business outcomes

Product Execution & Delivery

• Maintain and prioritize product backlogs across multiple work streams, ensuring clear acceptance criteria and definition of done
• Lead agile ceremonies including sprint planning, backlog refinement, and stakeholder demos
• Make data-driven decisions about feature tradeoffs, technical debt, and release timing
• Define and track KPIs that demonstrate product value and ROI to finance stakeholders

What You Bring

Required Experience

• Bachelor's degree and 6 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year of experience; or 18 years' experience in a related field
• 7+ years in product management or product ownership, with at least 3 years focused on financial systems, data products, or AI/ML solutions
• Deep understanding of finance and accounting processes including general ledger, accounts payable/receivable, billing, financial close, forecasting, and financial reporting
• Proven track record of delivering complex B2B or internal enterprise products from concept to adoption
• Experience working with cross-functional teams including engineering, data science, design, and business stakeholders
• Strong technical acumen with ability to discuss data architectures, APIs, ML models, and integration patterns

Preferred Qualifications

• Background in finance, accounting, or FP&A (CPA, CMA, or MBA a plus)
• Hands-on experience implementing AI/ML solutions in financial operations
• Familiarity with modern financial systems (ERP, billing platforms, financial data warehouses)
• Experience with data governance, financial controls, and SOX compliance requirements
• Knowledge of generative AI applications for financial analysis and reporting

Skills & Attributes

• Exceptional ability to translate between technical and business languages
• Data-driven mindset with strong analytical and problem-solving capabilities
• Collaborative leadership style that builds trust across diverse stakeholder groups
• Comfortable with ambiguity and able to drive clarity in complex problem spaces
• Bias toward action and continuous improvement
• Strong communication skills with ability to influence without authority

Success in This Role Looks Like

• Finance teams save hundreds of hours monthly through intelligent automation
• AI-powered solutions drive measurable improvements in forecast accuracy, processing speed, or error reduction
• Strong adoption rates and user satisfaction across finance stakeholder groups
• Seamless product delivery with predictable roadmap execution
• Finance leadership views the product team as a strategic partner, not just a service provider

Why This Role Matters

Financial operations are the backbone of our business, yet too often rely on manual, repetitive processes that are error-prone and limit our ability to scale. By combining deep financial domain expertise with modern AI capabilities, you'll create solutions that allow our finance teams to focus on strategic analysis and decision-making rather than data entry and reconciliation. Your work will directly impact our ability to close faster, forecast more accurately, and make better business decisions.

USD  -  per year

Compensation:

Compensation includes a base salary of $ - $. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for…