Lead Product Operations Manager (Data)
New
D
DailyPayOn-demand pay
US-RemoteFull-TimeLead
Salary$136K - $209K; $136K – $209K • Offers Equity • Offers Bonus; New York City: $158K – $209K • Offers Equity • Offers Bonus; Remote Premium: $143K – $189K • Offers Equity • Offers Bonus; Remote Standard: $136K – $179K • Offers Equity • Offers Bonus
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Job Details
- Experience
- 6–10 years in product operations, business operations, or program management.
- Required Skills
- Product OperationsBusiness Operations
Requirements
- Bring 6–10 years of experience in product operations, business operations, or program management.
- Demonstrate success supporting a large, complex cross-functional group in Product Operations or Program Management.
- Conduct root-cause analysis across a wide variety of problems.
- Use first-principles thinking to determine solutions.
- Identify and mitigate risks and resolve conflicts or impediments proactively and independently.
- Present information clearly and effectively to diverse audiences, including cross-functional stakeholders.
- Manage multiple projects simultaneously with strong attention to detail.
- Understand business and product strategies.
- Be familiar with implementing project methodologies and developing familiarity with financial principles related to project or product delivery.
- Work with teams to determine KPIs aligned with team strategies and priorities.
- Partner with data analysts to ensure appropriate dashboards support performance transparency, monitoring, and action.
Responsibilities
- Identify and propose solutions for product lifecycle friction points from discovery through launch.
- Streamline operational workflows and process hygiene across squads.
- Build working relationships across Product, Engineering, Design, and other teams to align expectations and drive execution.
- Coordinate cross-functional contributors and stakeholders and align expectations.
- Support continuous monitoring of KPIs and OKRs and provide data-driven insights.
- Translate metrics and performance trends into actionable operational insights for squads.
- Help manage and optimize product roadmapping and collaboration tools.
- Assist with quarterly planning and align team efforts with broader business strategy.
- Support scaling the launch and updating of machine learning models and AI-powered features.
- Work with Finance and Data Analytics teams on product KPIs, dashboards, reports, and data hygiene.
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