• Own canonical datasets and definitions across core domains (production, contracting, commissions, compliance, partner performance). • Define and maintain clear metric semantics (including messy “in-between” operational states) so internal and partner-facing reporting stays consistent. • Drive self-serve data access: reduce ad hoc requests, tribal knowledge, and manual lookups by turning repeat needs into scalable data products. • Lead cross-functional discovery with stakeholders across Account Management, Contracting, Support, Compliance, Finance, and Product; translating workflow pain into concrete data requirements and shipped solutions. • Partner with Data Engineering to design durable data models from complex carrier/vendor signals and to improve reliability, monitoring, and data quality where it matters. • Partner with Analytics on dashboard UX and iteration, ensuring outputs are actionable and map to real workflows (not just charts). • Align internal reporting and product surfaces so teams and partners see a consistent “shared truth.” • Own prioritization and execution across teams - balancing speed, accuracy, completeness, and trust.

• Develop product roadmaps with features, gameplay, and content development based on data analysis of KPIs, split test results, user feedback, and industry knowledge. • Evaluate key product metrics and develop strategies that help convert, satisfy, and retain users. • Develop a solid relationship with the Product Category Lead, Apps Engineers, Designers, Content managers, and QA Testers, and collaborate on moving the application forward. • Manage projects and operations by ensuring the qualitative, bug-free, and timely delivery of app updates through proper planning, conception, leadership, and execution. • Approve the new versions of the applications rigorously before they go live. • Be on the lookout for new ideas and the best marketing practices in the industry, among the direct competition as well as top-grossing apps in other categories. • Foster a culture of data-driven decision-making and industry awareness.

• Own and maintain a clean, prioritized, sprint-ready backlog • Write clear user stories with well-defined acceptance criteria • Enforce Definition of Ready and Definition of Done • Break large initiatives into manageable, testable work • Lead backlog refinement and support sprint planning • Clarify requirements in real time for engineers, QA, and UX • Protect sprint scope and minimize churn • Reduce rework by ensuring clarity before development begins • Validate that features meet requirements before acceptance • Translate stakeholder requests into actionable backlog items • Communicate tradeoffs, risks, and constraints clearly • Escalate ambiguity or conflicts when needed

• Identify new opportunities in markets Time Doctor doesn’t yet serve • Build strategies and roadmaps with a focus on AI-driven value creation • Use work activity data to uncover insights and automate workflows • Rapidly test hypotheses, validate assumptions, and iterate quickly • Define features and roadmap priorities aligned with business goals • Partner with design, engineering, and data teams to deliver value • Communicate directly with customers to validate solutions • Lead end-to-end delivery of new products and MVPs • Maintain clear product documentation and internal training materials • Support customer education and continuous improvement initiatives