Manager, Analytics Product Development

*** Job Summary
*** At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive.  True to our name, our experienced team is passionate about helping oncology practices navigate the future.

The
** Manager, Analytics Product
** will be responsible for building and leading a team of data scientists, data engineers and data analysts to develop end-to-end data commercial analytics and data science solutions. The ideal candidate will be a strategic product leader with a strong background in healthcare analytics, a deep understanding of commercial needs in oncology, and proven experience managing cross-functional technical teams.

The Manager brings in a product mindset and leverages Agile practices to craft and drive iterations to support building new capabilities, addressing gaps and drive automations for Data Platforms and solutions. Additionally, the Manager brings in a Service Provider mindset, demonstrating exceptional interpersonal skills, strong leadership, and relationship management to build a strong and cohesive team that focuses on building new capabilities and operations.  

The Manager will work closely with business product owners, business leadership, and individual business users to consistent delivery and data operations.
*** 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.
*** Qualifications
* *** 8-12 years of experience in product development, with at least 3 years focused on analytics products or data products, preferred
* 3+ years of experience managing technical teams including full time, contract and/or vendor resources (e.g., data engineers, data scientists, full stack developers), preferred
* Bachelor’s degree in related field, or equivalent work experience, preferred
* Preferred experience in the healthcare or life sciences industry, with a strong understanding of commercial operations and data in oncology.
* 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…