Senior Product Manager - Data Platform, Analytics & Reporting

Senior Product Manager - Data Platform + Analytics & Reporting

This is a hybrid role working 2-3 days per week from our Seattle, WA or Plymouth Meeting, PA office. The Data Platform team builds the foundational data infrastructure that enables the entire organization to make data-driven decisions at scale. In this role, you will lead product development for our unified data platform, creating tools and services that empower teams across all products to access, analyze, and act on data with confidence. You will work with engineering, analytics, and business stakeholders to deliver seamless data experiences that make complex data workflows simple and reliable. From building self-service analytics capabilities to creating unified reporting across product lines, you are constantly finding innovative ways to unlock the value of our data assets for everyone in the organization.

What you'll do :

• Own vision and strategy for data products and tooling that make it easy to understand the value of Accolade and the member journey, and drive towards positive business outcomes
• Establish and socialize the product roadmap for data platform and analytics infrastructure
• Collaborate with data engineers and platform engineers to deliver features that enable teams to access and analyze data quickly and confidently
• Create product requirements, use cases, and user stories based on data user insights and platform scalability needs
• Work closely with internal data consumers and stakeholders to understand their analytics needs and transform requirements into technical deliverables
• Identify and prioritize new platform capabilities, reporting features, and data product opportunities
• Manage tradeoffs between platform performance, feature development, and technical debt while communicating recommendations to senior leadership
• Work with Engineering team to use predictive intelligence using ML models and AI-powered analytics capabilities
• Drive adoption of unified data standards and best practices across all product teams

What we're looking for :