Director, Product Management

Fortive•Minneapolis, MN

About The Position

The Director of Product Management will lead the strategic vision, roadmap, and execution of innovative SaaS solutions that transform healthcare delivery and patient outcomes. This role requires a strong blend of healthcare domain expertise, SaaS product leadership, and emerging technology acumen, including AI/ML integration. The Director will operate as a highly autonomous, solutions‑oriented leader—proactively identifying opportunities, navigating regulatory and organizational complexity, and driving outcomes rather than escalating obstacles. Partnering closely with engineering, design, compliance, and clinical stakeholders, this leader will deliver secure, scalable, and compliant products that meet regulatory standards and market needs. The ideal candidate is a strategic thinker, data‑driven decision maker, and influential leader who thrives in a fast‑paced, highly regulated environment and knows how to get things done.

Requirements

Bachelor’s degree in Computer Science, Engineering, Business, or related field.
10+ years in product management.
At least 5 years in leadership roles.
Proven experience in SaaS product lifecycle management.
Healthcare technology background: Exposure to EHR systems, interoperability standards (HL7, FHIR).
Familiarity with HIPAA, FDA, and other compliance frameworks.
AI/ML exposure: Leading or collaborating on AI-driven product features (predictive analytics, personalization).
Track record of building and scaling products in regulated environments.
Strong experience in stakeholder management, executive communication, and cross-functional leadership.

Nice To Haves

Master’s degree (MBA, MS in Health Informatics, or similar) preferred.
Certified Scrum Product Owner (CSPO) or Pragmatic Institute Certification.
Healthcare-specific certifications (e.g., CPHIMS – Certified Professional in Healthcare Information and Management Systems).
AI/ML or Data Science courses for technical fluency.

Responsibilities

Define and communicate a clear product vision aligned with business objectives, regulatory requirements, and market trends.
Build dynamic roadmaps that connect long-term strategy to short-term execution, balancing innovation with compliance.
Utilize prioritization frameworks (e.g., RICE, MoSCoW) to manage limited resources effectively.
Understand clinical workflows, healthcare regulations (HIPAA, FDA), and interoperability standards (HL7, FHIR).
Translate complex healthcare requirements into usable, compliant digital solutions.
Lead and mentor product teams, fostering a culture of innovation, accountability, and proactive ownership.
Drive collaboration across engineering, design, compliance, marketing, and clinical stakeholders to remove obstacles and advance outcomes.
Build alignment and secure buy‑in from executives and external partners.
Own and act on key product performance metrics, including revenue, growth, adoption, and ROI.
Apply a commercial mindset to product strategy, prioritizing solutions and expansions that increase customer value and drive new revenue opportunities.
Partner with Marketing to align product strategy with go‑to‑market plans, positioning, and launches.
Collaborate closely with Finance to guide investment decisions, evaluate portfolio performance, and ensure sustainable, data‑driven growth.
Leverage product analytics, A/B testing, and performance measurement using tools like SQL, Tableau, or similar.
Use data for market analysis, customer insights, and continuous improvement.
Track product success and inform strategic pivots using KPIs and OKRs.
Embed healthcare compliance frameworks into product design and delivery.
Perform risk assessment and mitigation, ensuring zero tolerance for breaches in patient safety or data privacy.
Balance innovation with regulatory constraints without compromising speed-to-market.
Understand AI/ML fundamentals and their application in healthcare (predictive analytics, clinical decision support, personalization).
Collaborate with data science teams to integrate AI-driven features responsibly.
Ensure ethical AI practices and compliance with healthcare regulations.
Identify opportunities for automation and intelligent insights to improve patient outcomes and operational efficiency.