Manager, Analytics Product Development

Cardinal Health, through its Navista division, is focused on empowering community oncology practices with advanced support services and technology. The Manager, Analytics Product Development will lead a team to develop data analytics and science solutions, ensuring high-quality product delivery and fostering collaboration across teams.

Responsibilities:

• Owns the end-to-end product development process, from discovery to post-launch analysis, ensuring timely delivery of high-quality products
• Acts as the IT solution owner for lighthouse projects, responsible for delivering solutions on time, with quality, and within budget
• Establishes operational processes to meet IT controls and applies lean/agile principles for continuous improvement and rapid prototyping of data science solutions
• Leads/Manages data transformation capabilities and operations for Analytics and AI/ML solutions, including planning, demand, and budgetary oversight for Data Platforms
• Oversees the financial aspects of the team, including cloud costs, SOWs, and staff augmentation approvals
• Champions a data-driven approach to product management, utilizing analytics to measure performance, identify improvements, and inform future product iterations
• Recruits, develops, mentors, and retains a high-performing, cross-functional team of Data Engineers, Full-Stack Engineers, Data Scientists, and QA specialists
• Fosters a collaborative and innovative team environment, providing clear direction, coaching, and ensuring accountability for results and professional growth
• Manages expectations and builds strong relationships with key business and IT stakeholders, acting as the primary liaison between technical teams and business
• Collaborates extensively with commercial, sales, marketing, and clinical teams to identify high-value business opportunities, gather requirements, and ensure product adoption
• Drives business outcomes by defining clear goals and metrics and effectively communicates complex data findings and recommendations to influence action across diverse audiences

Requirements:

• Proven ability to define product strategy, roadmaps, and successfully launch and iterate on data-intensive products
• Strong understanding of data analytics, business intelligence tools (e.g., Power BI, Looker), and data visualization best practices
• Familiarity with software engineering data concepts, cloud data platforms (GCP, Azure), and data science/machine learning workflows
• Exceptional leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of an organization
• Ability to translate complex business problems into clear, actionable product requirements and technical specifications
• Experience with DevOps Agile practices
• Direct experience with commercial oncology analytics solutions (e.g., sales force effectiveness, market access, patient journey analytics)
• Experience with agile product development methodologies
• Knowledge of healthcare data standards (e.g., FHIR, OMOP) and regulatory compliance (e.g., HIPAA, GDPR)
• Experience working in a fast-paced, product-led organization
• 8-12 years of experience in product development, with at least 3 years focused on analytics products or data products
• 3+ years of experience managing technical teams including full time, contract and/or vendor resources (e.g., data engineers, data scientists, full stack developers)
• Bachelor's degree in related field, or equivalent work experience
• Preferred experience in the healthcare or life sciences industry, with a strong understanding of commercial operations and data in oncology