Senior Product Manager, Data & Analytics Job at ResMed (Peachtree Corners, GA)

Senior Product Manager, Data & Analytics

ResMed

Location:
United States , Peachtree Corners, GA

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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. You 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.

Job Responsibility:

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
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
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
Productize self-service and embedded analytics (dashboards, decision flows, alerts). Raise UX quality and performance standards
deprecate low-value assets
Introduce human-in-the-loop AI where it demonstrably reduces toil or improves decisions and set guardrails for quality, bias, and auditability
Drive practical governance, accuracy, consistency, privacy, and access
embedded in workflows and expand standardized KPI/event models
Engage executives and major customers, negotiate trade-offs, and communicate decision-ready options. Convert qualitative/quantitative signal into priority calls

Requirements:

Bachelor’s in Computer Science, 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 experience productizing applied-AI features with human oversight and clear evaluation standards
Executive level communication
proven stakeholder management across Commercial, Operations, Engineering, and Compliance

Nice to have:

Domain depth in Digital Health, Post Acute Care (HME/DME), Revenue Cycle, or Supply-Chain 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/Tableau, 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

Additional Information:

Job Posted:
February 20, 2026

Employment Type:

Fulltime

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