
Marketplace • B2C
A Place for Mom is a U. S. -based senior care referral and marketplace that helps families find, compare, and arrange senior living and home care options, including assisted living, memory care, independent living, nursing homes, and home care providers. The company connects families with local senior living advisors, publishes guides, reviews and awards, and offers tools like cost calculators and personalized recommendations. Its service is free to families and is funded by participating senior living communities and home care providers.
November 25

Marketplace • B2C
A Place for Mom is a U. S. -based senior care referral and marketplace that helps families find, compare, and arrange senior living and home care options, including assisted living, memory care, independent living, nursing homes, and home care providers. The company connects families with local senior living advisors, publishes guides, reviews and awards, and offers tools like cost calculators and personalized recommendations. Its service is free to families and is funded by participating senior living communities and home care providers.
• Oversee the next evolution of A Place for Mom’s data capabilities • Develop the vision for an updated foundation of data capable of powering a diverse and growing set of internal- and external-facing use cases • Partner closely with key stakeholders to define and execute on an ambitious roadmap to democratize insights and unlock new sources of value • Articulate the vision and practical execution plan for a robust and easy-to-use semantic layer to serve as the underpinning of company-wide analytics • Collaborate to scope and develop net-new curated datasets optimized for key internal use cases • Provide clear, well-scoped requirements to data engineering and platform teams • Partner with analysts and MLEs to identify opportunities to optimize data organization • Evangelize self-service data tools including AI-powered solutions to stakeholders • Communicate progress and identified value-add of data investments to senior leadership • Work with business unit teams to identify, evaluate, and productize data monetization opportunities
• 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.
• 401(k) plus match • Dental insurance • Health insurance • Vision Insurance • Paid Time Off
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