Senior Product Manager, Data Products

A Place for Mom•New York, NY

1d•$150,000 - $175,000

About The Position

A Place for Mom is seeking a Senior Product Manager, Data Products to help build the future of our senior care data ecosystem. As a member of our growing Data Product team, this role will define and drive how we systematically collect, organize, and package our internal proprietary data to maximize value for the families we serve and our partners within the senior care space. What you will do: In this role, you will oversee the next evolution of A Place for Mom’s data capabilities, developing the vision for an updated foundation of data capable of powering a diverse and growing set of internal- and external-facing use cases. You will partner closely with a wide range of key stakeholders - from senior leadership, to marketing and sales domain owners, to product and technical vertical owners - to define and execute on an ambitious roadmap to democratize insights and unlock new sources of value for our clients and customers.

Requirements

Bachelor’s degree (Master’s preferred) in quantitative/statistics-intensive field such as Statistics, Economics, Mathematics, or Computer Science
5+ years of experience in platform product management, with preference for candidates with past data product roles and/or prior background as a data scientist or data engineer
Demonstrated track record of taking products from ideation through successful implementation (especially internal tools or data-intensive B2B solutions)
Expertise with SQL and data modeling strongly preferred
Aptitude for defining relevant, actionable KPIs for assessing the health and utility of foundational/infrastructure products
Excellence in communicating technical information and quantitative insights to leadership audiences
Comfort operating in high-pace environment and with evangelizing new processes to stakeholders of varying technical skill levels

Responsibilities

Articulation of the vision and practical execution plan for a robust and easy-to-use semantic layer to serve as the underpinning of company-wide analytics
Collaboration with stakeholders to scope and develop net-new curated datasets optimized for key internal use cases (e.g. forecasting, user profiles, targeted outreach, etc.)
Providing clear, well-scoped requirements to data engineering and platform teams to enable timely delivery of updated functionality
Partnership with analysts and MLEs to identify opportunities to optimize data organization for cost-effectiveness, accuracy, and time-to-insight
Evangelization of self-service data tools - including AI-powered solutions - to a variety of technical and non-technical stakeholders
Proactive communication to senior leadership of progress and identified value-add of data investments
Work with business unit teams to identify, evaluate, and productize data monetization opportunities