Principal Product Manager, Operations Suite

DeepHealth•Boston, MA

22h•Hybrid

About The Position

The Principal Product Manager, Operations Suite defines the portfolio commercialization for DeepHealth’s Operations Suite portfolio—including RIS, Patient Engagement, and Referral Management while leading the AI portfolio and productization of AI-driven workflow, automation, and analytics capabilities across the platform. This leadership role will focus on establishing DeepHealth as the category leader in enterprise imaging operations in its targets markets and driving business growth.

Requirements

Master’s Degree Required
Overall years of experience: 10+ years
7 + years Product Leadership in Healthcare SaaS or Enterprise Platforms
5+ years of experience in EHR/EMR/RIS
3+ years AI / Automation
Enterprise imaging operations domain expertise (RIS, engagement, workflows)
Platform product strategy and portfolio leadership
AI-enabled product development and agentic workflow design
Commercial strategy (pricing, packaging, monetization models)
Go-to-market alignment and revenue growth execution
Workflow orchestration and automation at scale
Cross-functional leadership (product, engineering, sales, operations)
Customer-driven product development and value realization focus
API-first, cloud-native platform architecture understanding
Executive communication and stakeholder alignment

Responsibilities

Defining and executing the Operations Suite portfolio strategy, including RIS, Patient Engagement, Referral Management, and associated workflow, automation, analytics, and AI solutions—guiding roadmap priorities, platform architecture, platform modernization alignment, and market positioning
Driving commercialization and market adoption, including pricing and packaging strategy, go-to-market alignment, strategic partnerships, and revenue growth for the Operations Suite portfolio
Owning the Operations Suite AI portfolio, including the development of AI-native applications and AI capabilities embedded within RIS workflows and driving the productization of intelligent automation, operational intelligence, and agentic workflows across the platform and integration with the AI Studio ecosystem
Supporting long-term portfolio expansion and innovation, including cross-enterprise platform integration, collaboration with RadNet to validate and scale solutions, and evaluation of strategic partnerships, and portfolio investments
Define and lead the multi-year portfolio strategy for the Radiology Information System (RIS) and DeepHealth Operations Suite™, expanding the addressable market and supporting strategic growth across enterprise imaging operations
Ensure portfolio strategy, platform modernization, and AI productization efforts are coordinated across RIS, applications, and automation layers
Ensure portfolio strategy and roadmap priorities align with DeepHealth’s broader platform modernization and AI strategy
Engage with strategic customers and industry stakeholders to validate product direction, identify emerging needs, and guide portfolio priorities
Drive business innovation through modular platform capabilities, scalable delivery models, and expansion into new markets and operational use cases
Collaborate with product, development, and implementation teams to deliver high-impact, enterprise-ready solutions aligned with customer workflows and operational outcomes
Define and lead the Operations Suite AI portfolio strategy, including both AI-native applications and AI-enabled capabilities embedded within RIS workflows and Operations Suite products
Drive the development and productization of AI applications that automate imaging operations workflows, improve operational intelligence, and enable agentic automation across the platform
Champion the integration of AI capabilities directly into the RIS and Operations Suite, ensuring intelligent automation, predictive insights, and AI-assisted workflows are embedded within core operational processes
Lead the development of the AI platform and ecosystem strategy, enabling scalable AI services, third-party AI integrations, and an extensible architecture that supports innovation across the imaging operations platform
Identify and prioritize AI opportunities, including predictive operational intelligence, workflow automation, and intelligent scheduling that improve imaging center performance and staff productivity
Partner with AI engineering, data science, and platform teams to operationalize AI models and services within RIS workflows and Operations Suite applications
Lead commercialization planning for new products, capabilities, and AI solutions, ensuring cross-functional readiness across sales, marketing, support, and implementation teams
Serve as a strategic advisor to commercial leadership on portfolio value drivers, customer use cases, pricing models, and adoption strategies
Partner with marketing to develop product positioning, messaging, and go-to-market materials aligned with portfolio strategy and category leadership in enterprise imaging operations
Partner closely with RadNet teams to validate solutions, refine product direction, and scale enterprise imaging operations capabilities across the portfolio
Coordinate roadmap priorities based on operational insights, site-level feedback, and measurable performance outcomes
Ensure platform evolution supports enterprise scalability, operational efficiency, and alignment with strategic operational goals
Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.
Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.
Follows all local, regional and country laws concerning employment.
Follows all DeepHealth policies and procedures.
Follows data privacy, compliance, safety and confidentiality standards at all times.
Practices universal safety precautions.
Promotes good public relations on the phone and in person.
Adapts and is willing to learn new tasks, methods, and systems.
Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines.
Completes job responsibilities in a quality and timely manner.