Manager, Product

Company Introduction
Availity is one of the leading health information networks in the United States, processing more than 4 billion transactions annually and connecting more than two million healthcare providers and over two thousand technology partners to health plans nationwide. Our teams of technology, business, and customer service professionals in Bangalore, India, are working together to transform healthcare delivery in the United States through innovation and collaboration. Our technologists help develop cutting-edge revenue cycle solutions that help hospitals, health systems, and physicians maximize payments and optimize their workflows.
Availity is a diverse group of people whose talents, curiosity and passion steer the company to create innovative solutions for the US Healthcare industry. If you are a driven, creative and collaborative individual, with exceptional technology skills to drive innovation, we want to hear from you.
Job Description​Role Overview:
We are looking for a Product Manager to own and drive key product initiatives across discovery, delivery, and optimisation for a defined product area.
This role focuses on translating customer needs and business goals into clear product requirements, partnering closely with cross-functional teams to deliver high-quality outcomes. The Product Manager will contribute to roadmap execution, support product discovery efforts, and ensure delivery aligns with customer value and business impact.
Roles & Responsibilities
About Availity
Availity is a leading healthcare technology company focused on simplifying healthcare administration and solving real-world challenges for healthcare providers, health plans, and patients. Our technology helps reduce complexity, so providers can spend less time navigating administrative systems and more time focused on patient care.
About Availity India
Availity India is an important part of Availity's global growth journey. Based in Bengaluru, our India team’s partner closely with U.S. and global stakeholders across technology, product, operations, customer support, and corporate functions.
Our India organization is being built with a strong focus on ownership, learning, collaboration, engineering excellence, and meaningful business impact. Associates in India have the opportunity to solve complex problems, contribute to global initiatives, and spport products and services that are part of the U.S. healthcare ecosystem.
About the Role
We are seeking a highly strategic and hands-on Product Manager - Provider Data Management to lead the vision, strategy, and execution of products that power provider data acquisition, enrichment, governance, quality, and distribution across the healthcare ecosystem.
This role is ideal for a Data Product Manager who thrives at the intersection of healthcare data, analytics, product innovation, and technology. The successful candidate will be comfortable working with large datasets, validating hypotheses through analytics, rapidly prototyping solutions, and leveraging AI and emerging technologies to solve complex provider data challenges.
The Product Manager will own the end-to-end lifecycle of provider data products and capabilities, collaborating closely with Engineering, Data Science, Analytics, Architecture, UX, AI, and Business teams to deliver high-value solutions that improve data quality, operational efficiency, provider experience, and customer outcomes.
Key Responsibilities
Product Strategy & Vision
Define and execute the product strategy and roadmap for Provider Data Management capabilities.
Develop long-term vision for provider data products including:
Provider Directory
Provider Registry
Provider MDM / Golden Record
Network Intelligence
Provider Data Quality
Data Acquisition and Enrichment
Identify opportunities to leverage AI, machine learning, and automation to improve provider data accuracy, completeness, and operational efficiency.
Align product investments with business objectives, customer needs, regulatory requirements, and market opportunities.
Establish measurable product outcomes and success metrics.
Data Product Management
Act as the product owner for provider data assets, datasets, APIs, and data services.
Define data product requirements, quality standards, governance models, and service-level expectations.
Partner with Data Engineering and Architecture teams to design scalable provider data platforms.
Drive creation and management of provider golden records and master data strategies.
Define data sourcing, matching, enrichment, data lineage, and quality measurement capabilities.
Balance business, customer, compliance, and technical requirements in product decisions.
Customer Discovery & Domain Leadership
Build expertise in provider data management workflows and healthcare industry standards.
Engage customers, payers, providers, internal stakeholders, and operational teams to uncover pain points and opportunities.
Conduct market and competitive analysis across provider data vendors, directories, credentialing, and provider network management solutions.
Translate customer problems into validated product opportunities and business cases.
Serve as the internal subject matter expert for provider data strategy and capabilities.
Innovation & Prototyping
Lead experimentation and innovation initiatives focused on provider data challenges.
Create rapid prototypes, proof-of-concepts, and MVPs to validate hypotheses before full-scale investment.
Leverage AI, analytics, and emerging technologies to improve:
Provider search and discovery
Data matching and identity resolution
Data quality and enrichment
Workflow automation
Predictive insights
Partner closely with engineering teams to translate prototypes into scalable products.
Analytics & Data-Driven Decision Making
Be comfortable working directly with data to identify trends, opportunities, and product insights.
Define KPIs measuring provider data quality, completeness, accuracy, coverage, and adoption.
Use SQL, BI tools, dashboards, and analytics platforms to validate assumptions and guide prioritization.
Perform root-cause analysis on data quality issues and operational bottlenecks.
Drive product decisions through quantitative and qualitative evidence.