Company
Cox Automotive - USAJob Family Group
Job Profile
Management Level
Flexible Work Option
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Work Shift
Compensation
Compensation includes a base salary of $111,500.00 - $185,900.00. 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 additional compensation that may include an incentive program.Job Description
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 workstreams, 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
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
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
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.
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