Product Manager Data Management & Platform
WFA Digital Insight
The demand for skilled product managers in healthcare tech has surged, with a notable 25% increase in job openings over the past year. HHAeXchange, a pioneer in home and community-based care solutions, is seeking a Product Manager to spearhead its data management and platform strategy. With the healthcare industry embracing AI and machine learning, professionals with a solid grasp of data platforms and a passion for innovation are in high demand. Candidates should be prepared to leverage their expertise in data governance, AI enablement, and product development to drive meaningful change in the home care space.
Job Description
About the Role
The Product Manager for Data Management & Platform at HHAeXchange is a pivotal role that bridges the intersection of product, engineering, and clinical/financial operations. This position is responsible for defining, governing, and scaling the use of data across the healthcare platform, ensuring that it is accurate, connected, and trusted. The ideal candidate will have a deep understanding of real-world clinical and financial workflows and be energized by the potential of AI to transform healthcare data.As a key member of the product team, the Product Manager will contribute to and help execute the product vision and roadmap for HHAeXchange's enterprise data platform. This involves defining how core clinical, operational, and financial data is modeled, linked, and surfaced across the product ecosystem, as well as partnering with domain-specific product managers to align data structures with real-world workflows and end-user needs.
What You Will Do
- Contribute to and help execute the product vision and roadmap for HHAeXchange's enterprise data platform
- Define how core clinical, operational, and financial data is modeled, linked, and surfaced across the product ecosystem
- Partner with domain-specific product managers to align data structures with real-world workflows and end-user needs
- Identify opportunities to reduce data fragmentation and improve consistency across product domains
- Serve as a product champion for AI and machine learning use cases built on the HHAeXchange data platform
- Define and prioritize data requirements that enable AI-driven features
- Work with data science and engineering teams to ensure training data quality, feature pipelines, and model outputs are properly governed and trustworthy
- Evaluate and recommend AI tools, platforms, and frameworks that can accelerate product delivery and enhance the platform's intelligence capabilities
- Ensure data models support claims, visits, authorizations, care plans, payroll, and payer rules
- Collaborate closely with Engineering, Architecture, and Platform teams to shape data services, APIs, and pipelines
What We Are Looking For
- 5-7 years of product management experience in healthcare IT
- A solid grasp of data platform concepts
- Genuine enthusiasm for applying AI and machine learning to solve meaningful problems in the home care space
- Understanding of real-world clinical and financial workflows
- Experience with product-led data strategy and AI enablement
- Strong analytical and problem-solving skills
- Ability to communicate complex ideas effectively
- Experience working in a fully remote environment
Nice to Have
- Experience with generative AI, LLM applications, and agentic workflows
- Knowledge of emerging AI/ML trends in healthcare
- Familiarity with data governance and compliance considerations relevant to healthcare data
- Experience with responsible AI practices, including fairness, explainability, and transparency
Benefits and Perks
- Fully remote work arrangement for candidates located in the EST or CST time zones within the US
- Opportunity to work with a leading technology platform in home and community-based care
- Collaborative and dynamic work environment
- Professional development opportunities
- Access to cutting-edge technologies and tools
- Comprehensive benefits package
- Flexible working hours
How to Stand Out
- Develop a strong understanding of data governance and AI enablement in healthcare to stand out as a candidate
- Be prepared to provide examples of how you've applied AI and machine learning to solve complex problems in previous roles
- Showcase your ability to communicate complex technical ideas to both technical and non-technical stakeholders
- Highlight any experience you have with data platform concepts and product-led data strategy
- Prepare to discuss your approach to responsible AI practices, including fairness, explainability, and transparency
- Research HHAeXchange's current projects and initiatives to demonstrate your interest and enthusiasm for the company's mission
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