Director, Product Management – Commercial Technologies - Navista
Listed on 2026-01-02
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Software Development
AI Engineer, Data Science Manager
What Commercial Technologies contributes to Cardinal Health
Commercial Technologies manages the enterprise's portfolio of commercial technologies to maximize the business value of the technologies and enhance the customer experience. This function creates strategies for the portfolio and innovative solutions based on relationships with business leaders, develops back-end solutions and capabilities, and improves the front-end experience.
Commercial Technologies Software Engineering develops design options, process improvements and back-end solutions for commercial technologies to maximize performance and suitability for business needs. This job family manages engineering projects and plans for commercial technologies and interfaces with product managers to develop objectives. This job family assesses product systems, identifies opportunities for process and system improvements, and develops solutions through application of engineering principles.
Job SummarySeeking a dynamic and forward‑thinking Director, Product Management to lead the development and commercialization of innovative products and solution offerings for our oncology MSO. This leader will spearhead initiatives in data commercialization, advanced analytics, artificial intelligence, and automation, leveraging these capabilities to create market‑leading solutions that differentiate our organization. The role is central to shaping scalable business technology solutions that support independent oncology practices in delivering high‑quality, value‑based care.
The ideal candidate will have a strong background in product strategy, commercialization, and healthcare technology, with deep expertise in oncology care and a proven track record in data‑driven product innovation.
ResponsibilitiesProduct Lifecycle Ownership: Manage products from ideation to launch, focusing on delivering commercial‑ready solutions that leverage data and automation
Data Commercialization: Develop and execute strategies to monetize clinical, operational, and financial data assets, including data productization, partnerships, and compliance with privacy regulations
AI & Automation Leadership: Identify, evaluate, and integrate AI/ML and automation technologies to enhance product capabilities, operational efficiency, and clinical outcomes
Product Differentiation: Drive unique value propositions by leveraging emerging technologies and data‑driven insights to address unmet needs in oncology care
Cross‑Functional
Collaboration:
Partner with clinical, commercial, engineering, data science, and design teams, as well as external innovation partners, to deliver solutions that meet user needs and business objectivesCustomer‑Centric Development: Engage with oncology providers, administrators, and patients to gather insights and validate product concepts
Go‑to‑Market Enablement: Support launch planning, messaging, and sales enablement activities to ensure successful product adoption and market penetration
Performance Measurement: Define and track KPIs for data commercialization revenue, AI‑driven product adoption, automation‑enabled operational improvements, customer satisfaction, and commercial impact
Bachelor’s degree or equivalent experience in a related field preferred
12+ years of experience in product management, with a focus on commercial product development in healthcare or life sciences, preferred
Demonstrated experience in data commercialization, AI/ML, and automation in healthcare, with a track record of launching data‑driven products
Proven success in launching and scaling B2B healthcare products, preferably in oncology or specialty care
Strong understanding of healthcare delivery models, reimbursement, and value‑based care in oncology
Technical acumen in cloud platforms, data privacy, and regulatory compliance frameworks (e.g., HIPAA, GDPR)
Experience working with cross‑functional teams including clinical, technical, commercial, and data science stakeholders
Familiarity with Agile methodologies and tools (e.g., Jira, Confluence)
Excellent communication, strategic thinking, and problem‑solving skills
Ability to collaborate with all levels of an organization, up to…
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