Director, Product Management - Data & Analytics job opportunity at Resmed.

Home Jobs In United States Of America Tag: Product Management - Data & Analytics Director, Product Management - Data & Analytics position at Resmed


DateMore Than 30 Days Ago bot
Resmed Director, Product Management - Data & Analytics
Experience: 12-years
Pattern: full-time
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Product Management - Data & Analytics

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

Role summary   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 ,   work ing   horizontally across Brightree and ResMed   brands .   Competencies and Responsibilities:   Set strategy & roadmap   Define a multi-year product strategy for data & analytics, including self-service BI, governed semantic models, and AI-assisted analytic experiences.   Prioritize outcomes (adoption, decision quality, time-to-insight) and   maintain   a transparent, KPI-driven roadmap.   Build the platform & experiences (with Engineering)   Partner with data/analytics engineering to deliver scalable pipelines and large-scale stores (data lake, warehouse, marts) that back productized analytics.   Specify product requirements for models, metrics, lineage, and performance SLAs; ensure reliability, security, and cost efficiency.   Own governance as a product   Stand up a pragmatic data governance   framework   accuracy, consistency, security, access, privacy   embedded in product workflows (not side docs).   Drive standard definitions for KPIs and event models; publish contracts and change-management playbooks.   Lead AI adoption (applied, not academic)   Evaluate and productize AI-powered data & analytics tools (e.g., natural-language insights, auto-classification, anomaly detection), with human-in-the-loop guardrails.   Build the integrated data foundation that enables AI-driven experiences across functions.   Customer & stakeholder leadership   Run discovery with customers and internal stakeholders; turn problems into clear PRDs, success metrics, and experiments.   Regularly engage executives and major customers; negotiate trade-offs and influence senior leaders on matters of significance.   Team leadership & operating cadence   Hire, mentor, and lead PMs , TPMs, and Product Operations   (and matrixed analysts) to high performance.   Establish   a product   operating rhythm: quarterly planning, monthly business reviews, launch checklists, and post-launch measurement.   Qualifications & experience   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   able to collaborate deeply with engineering and analytics teams (no daily coding   required ).   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:   translate   complex technical concepts into crisp narratives and decision-ready options; strong stakeholder management and negotiation skills.   Track record   applying AI/ML pragmatically in analytics workflows (e.g., natural-language querying, forecasting, anomaly detection) with attention to governance and risk.   History of o perat ing   at enterprise scale; looks beyond existing methodologies to define and solve complex, cross-org problems.   Enterprise collaborator: aligns Product, Commercial, and Operations; communicates crisply at the executive level.   Team builder: attracts and develops cross-functional talent; leads decisively under pressure.   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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