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Resmed

Cloud-connected medical devices and software platforms

Professional Services Strategy & Optimization Lead

Business OperationsConfirmed live in the last 24 hours
Full-timePeachtree Corners, GA, USA$146k - $183kIn-person

About the Job

Requirements

  • Experience in Professional Services, Service Delivery, Technical Services, Solution Architecture, Operations, Analytics, or a related function within a SaaS environment.
  • Strong understanding of SaaS implementation lifecycles, including onboarding, configuration, integrations, data migration, implementation planning, and customer adoption.
  • Advanced SQL skills and experience working with complex operational, customer, implementation, or delivery datasets.
  • Experience designing and maintaining data models, reporting structures, and data warehouse solutions.
  • Experience using Power BI or a comparable business intelligence platform to develop dashboards and operational reporting.
  • Strong understanding of extract, transform, load (ETL) processes, data integration concepts, and data pipeline architecture.
  • Experience developing data normalization frameworks, taxonomies, and scalable data structures.
  • Experience performing statistical analysis, customer segmentation, pattern identification, and operational performance analysis.
  • Knowledge of application programming interface (API) architecture and integration fundamentals.
  • Experience designing scalable implementation methodologies, delivery frameworks, playbooks, or reusable service assets.
  • Ability to translate complex information into actionable business recommendations.
  • Ability to influence stakeholders and drive operational improvements across cross-functional teams.
  • Strong communication and presentation skills for engaging technical and non-technical audiences.
  • Demonstrated ability to balance strategic thinking with practical execution in a fast-paced environment.

Responsibilities

  • Analyze customer, utilization, billing, project performance, configuration, and implementation data to identify trends, patterns, and opportunities for improvement.
  • Develop customer segmentation models, implementation archetypes, and delivery taxonomies to improve implementation predictability and scalability.
  • Evaluate drivers of implementation effort, complexity, duration, and outcomes to improve planning accuracy and delivery performance.
  • Design and maintain reporting models, dashboards, and operational analytics that support Professional Services decision-making.
  • Translate operational and delivery insights into recommendations that improve implementation efficiency, consistency, and scalability.
  • Design standardized and preconfigured implementation approaches for customer segments with common requirements.
  • Develop reusable implementation templates, playbooks, workflows, and delivery assets that reduce variation and streamline execution.
  • Establish data normalization strategies and governance frameworks that improve reporting accuracy and cross-functional alignment.
  • Partner with Product, Operations, Technology, and Data teams to improve data quality, integration strategies, and reporting capabilities.
  • Leverage historical implementation data and operational insights to improve future implementation planning and delivery models.
  • Apply statistical analysis and segmentation techniques to identify opportunities for operational improvement and customer success.
  • Lead the identification, evaluation, and adoption of artificial intelligence-enabled delivery capabilities, automation solutions, and scalable implementation methodologies that enhance efficiency, consistency, and customer outcomes.
  • Evaluate emerging technologies, intelligent workflows, and automation opportunities that support Professional Services transformation.
  • Define success metrics and measure the impact of strategic initiatives on cycle time, implementation effort, utilization, customer experience, predictability, and time-to-value.
  • Communicate recommendations, insights, and measurable business impact to leaders and stakeholders across the organization.

Desired Qualifications

  • Python for advanced analytics, automation, or workflow optimization.
  • Experience with artificial intelligence and machine learning modeling and machine learning concepts.
  • Experience building solutions within Microsoft Copilot Studio.
  • Experience with recommendation engines, predictive analytics, or intelligent automation solutions.
  • Knowledge of Master Data Management (MDM) principles and governance practices.
  • Experience using process mining tools to identify and prioritize optimization opportunities.

About the Company

Resmed

Cloud-connected medical devices and software platforms

ResMed creates cloud-connected medical devices and software platforms to treat and manage sleep apnea, COPD, and other chronic diseases. Its devices (like sleep therapy gear) collect patient data and deliver therapy, while connected software platforms enable remote monitoring, coaching, and caregiver support. The company sells medical devices and offers software subscriptions, generating revenue from product sales and ongoing service fees. Unlike some competitors, ResMed combines hardware with cloud-based analytics and a broad ecosystem that supports patients, healthcare professionals, and caregivers across more than 120 countries. Its goal is to improve patient care and quality of life while reducing hospital visits and overall healthcare costs.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Diego, CA
Founded
1989

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