
Senior Product Manager, Data
- New York City, NY
- Permanent
- Full-time
- Drive data product roadmap for internal data platforms, including the data warehouse, analytics tooling, reporting, and ML infrastructure.
- Deliver innovative, scalable solutions by aligning complex data systems with internal business needs.
- Collaborate with data analysts, analytics engineers, and business stakeholders to define priorities for the enterprise data warehouse and data marts.
- Manage cross-functional relationships, clearly communicating product vision and aligning goals.
- Understand business needs across Product, Finance, Credit, Risk, and Marketing to deliver impactful data products.
- Drive the creation of data tools, frameworks, and processes to generate actionable insights and deliver business value.
- Drive adoption of analytics tooling and frameworks across the organization.
- Prioritize data discovery to ensure critical datasets, reports, and models are built first.
- Partner with Finance to build a trusted financial data mart for unit economics and forecasting.
- Define strategy for ML initiatives; guide scoping, delivery, and monitoring of models for critical business use cases.
- Set success metrics, track usage, and iterate on data products based on feedback and adoption.
- Ensure data governance, quality, and performance in partnership with data infrastructure teams.
- Deeply data-driven and passionate about empowering teams through robust and scalable data infrastructure and tools.
- Comfortable engaging in discussions about data products, data engineers, scientists, and analysts, as well as prioritizing product features in collaboration with stakeholders.
- Able to balance long-term strategy with quick wins, and can communicate complex ideas simply and clearly to both technical and non-technical audiences.
- Thrives in cross-functional settings and leads through influence.
- Able to operate in a fast-paced environment and execute with a high level of autonomy and accountability.
- Background in Data Science, Analytics, or Engineering.
- 6+ years of product management experience, preferably with a focus on data platforms, internal tooling, analytics infrastructure, or ML tooling.
- Intellectual curiosity, with the tenacity to probe deeply into problems, ask challenging questions, and convert business requirements into data-driven solutions.
- Experience working closely with data engineers, analysts, scientists, and business stakeholders in a cross-functional environment.
- Strong understanding of enterprise data warehousing, BI tools, data science, and analytics workflows.
- Proven experience building internal or data tools and driving adoption across large stakeholder groups.
- Familiarity with modern data stack components, experimentation framework and an understanding of ML workflows.
- Adept at the design and execution of experiments to facilitate the launch and scaling of products.
- Excellent communication and stakeholder management skills.
- Competitive salary
- Meaningful equity in the form of stock options
- 401(k) plan
- Discretionary performance bonus program
- Biannual performance reviews
- Medical, Dental and Vision premiums covered at 100% for you and your dependents
- Flexible time off and paid holidays
- Generous parental leave policy
- Commuter benefits
- Fitness benefits
- Healthcare and Dependent care FSA benefit
- Employee Assistance Programs focused on mental health
- Healthcare advocacy program for all employees
- Access to mental health apps
- Team building activities
- Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches