Director, Product Management – Commercial Technologies - Navista

Cardinal Health3 months ago
Columbus, OH, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Director, Product Management

Position Overview

Commercial Technologies contributes to Cardinal Health by managing the enterprise’s portfolio of commercial technologies to maximize business value and enhance the customer experience. The function creates strategies for innovative solutions based on close relationships with business leaders, develops robust back-end capabilities, and improves the front-end experience. In this role, you will lead the development and commercialization of innovative products and solution offerings for our oncology MSO, spearheading initiatives in data commercialization, advanced analytics, artificial intelligence, and automation to deliver scalable business technology solutions that support independent oncology practices in delivering high-quality, value-based care.

Key Responsibilities

  • Product 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 objectives.
  • Customer‑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.

Required Qualifications

  • 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 c‑suite.
  • Ability to thrive in a fast‑paced, mission‑driven environment.
  • Ability to travel up to ~10%.

Benefits & Perks

  • Anticipated salary range: $135,400-$228,910
  • Bonus eligible: Yes
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
  • Short‑ and long‑term disability coverage
  • Work‑Life resources
  • Paid parental leave
  • Healthy lifestyle programs

Required Skills

Oncology Expertise
Agile Methodologies
AI/ML
Cross-functional Leadership
Product Management
Cloud Platforms
Healthcare Technology
Data Commercialization
Automation
Data Privacy