This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
As Director of Product Management for Data & Analytics, you will lead the development and lifecycle management of Brightree’s data products from operational reporting and analytics to governed data extracts, Data-as-a-Service, and insight monetization. You will own the vision, roadmap, and outcomes for our data platform (lakes/warehouses/marts), analytics experiences, and AI-enabled use cases, ensuring teams have the tools, capabilities, and insights to make data-driven decisions. This is a hands-on product leadership role: you’ll partner closely with Customers, Business Leaders, Data Engineering/Analytics Engineering, and Data Science to translate real problems into lovable products, ship iteratively, and measure impact. You are fully accountable for product direction and outcomes, enabling autonomous, multidisciplinary product teams and a disciplined lifecycle from launch through adoption, working horizontally across Brightree and ResMed brands.
Job Responsibility:
Set strategy & roadmap
Build the platform & experiences (with Engineering)
Own governance as a product
Lead AI adoption (applied, not academic)
Customer & stakeholder leadership
Team leadership & operating cadence
Requirements:
Bachelor’s in Computer Science, Data/Analytics, or related field
12+ years in Data & Analytics product management (or adjacent leadership) delivering platform and analytics products
supply chain or finance domain experience a plus
Working literacy with Snowflake, SQL, dbt, Python and modern BI
Evidence of a track record of building self-service analytics and governed data products that drive adoption and measurable business value
Proven success leading non-exempt teams, developing Product Managers/Technical Product Managers, and leading in a matrix environment
Demonstrated ability to work through ambiguity, make tough calls, and lead through change with end-to-end ownership
Executive-level communication
Track record applying AI/ML pragmatically in analytics workflows