Senior Product Manager, Data & Analytics job opportunity at Resmed.

Home Jobs In United States Of America Tag: Data & Analytics Senior Product Manager, Data & Analytics position at Resmed


DatePosted 30+ Days Ago bot
Resmed Senior Product Manager, Data & Analytics
Experience: General
Pattern: full-time
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Data & Analytics

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loacation Peachtree Corners, GA, United States, United States Of America
loacation Peachtree Corn..........United States Of America

About Us: At Brightree by Resmed, we're dedicated to revolutionizing the way technology serves our customers. We pride ourselves on innovation, exceptional customer service, and a deep passion for leveraging technology to drive positive change. As a Senior Product Specialist (Data Analyst), you'll be an integral part of our team, working closely with product managers and cross-functional teams to support and enhance products within the Brightree Product Suite. Role summary   As Senior Product Manager for Data & Analytics, you will   be responsible for   a portfolio of data products that power decision-making across Brightree and our customers: governed datasets ,   self-service analytics, embedded insight experiences, and   responsible   AI use cases.   Y ou will turn strategy into shipped capabilities that measurably improve adoption, decision quality, and time-to-insight, working   closely   with Engineering, Data Science, and business stakeholders across Brightree and ResMed. You will manage the product   lifecycle   end-to-end   discovery, requirements, delivery, launch, and post-launch optimization   anchored in outcomes and customer value .   Core responsibilities   Strategy & outcomes.   Define clear product goals and success metrics (e.g., adoption, decision latency, governed KPI coverage). Maintain a transparent, KPI-driven roadmap that ladders into business   objectives .    Product delivery.   Run discovery to frame problems; author PRDs, user stories, and acceptance criteria; manage backlog, release planning, feature flags, and post-launch measurement. Drive iterative delivery with tight feedback loops.    Platform & data contracts.   Work with engineering to shape scalable pipelines and stores (lake/warehouse/marts), semantic models, SLAs, and cost governance. Treat data definitions as product contracts with   change-management   playbooks.    Analytics experiences.   Productize self-service and embedded analytics (dashboards, decision flows, alerts). Raise UX quality and performance standards; deprecate low-value assets.    Applied AI.   Introduce human-in-the-loop AI where it demonstrably reduces toil or improves decisions   and   set   guardrails for quality, bias, and auditability.    Governance as a product.   Drive practical governance ,   accuracy, consistency, privacy, and access ;   embedded in workflows   and   expand standardized KPI/event models.    Stakeholder leadership.   Engage executives and major customers, negotiate trade-offs, and communicate decision-ready options. Convert qualitative/quantitative signal into priority calls.      Qualifications & experience   Required   Bachelor’s in   C omputer   S cience , Data/Analytics,   AI,   or related field.   7 +   years in product management delivering data platforms/analytics at enterprise scale; history of shipping measurable outcomes in B2B SaaS.    Working literacy with Snowflake (or equivalent), SQL,   Python, and modern BI; comfortable reading code, writing non-production SQL, and pairing with engineers on designs.    Demonstrated success building governed, self-service analytics (semantic layers, KPI definitions, lineage) that drive adoption and trust.    Successful e xperience productizing applied-AI features with human oversight and clear evaluation standards.    Executive   level   communication; proven stakeholder management across Commercial, Operations, Engineering, and Compliance.    ​ Preferred   Domain depth in   Digital Health, Post Acute Care ( HME/DME ) ,   R evenue   C ycle, or   S upply- C hain analytics.    Analytics product migration experience ,   e.g.,   Power BI, Sisense, Tableau /Experience Cloud,   etc.   including beta programs and wave rollouts.    Familiarity with product analytics/experimentation (Pendo/Tablea u , A/B tests, feature flags).    Track record   applying AI/ML pragmatically in analytics workflows (NL query, forecasting, anomaly detection) with governance and risk controls.    Experience in supply chain or finance analytics domains.    Strong presentation skills for executive and customer   forums;   and   proven   ability   of   working   horizontally .      Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.  

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