Director, 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
Roles & ResponsibilitiesRole Overview
We are seeking a visionary, entrepreneurial product leader to identify, incubate, and scale new growth opportunities. The Director, Product - Emerging Solutions & Innovation will operate at the intersection of customer needs, data, artificial intelligence, healthcare technology, and platform innovation to create differentiated products and new sources of value.
This role is accountable for taking products from 0-to-1: discovering high-value problems, forming investment hypotheses, rapidly prototyping solutions, launching pilots, validating product-market fit, and transitioning successful concepts into scalable products and sustainable business lines.
The ideal candidate combines strategic product leadership with a hands-on builder mindset. They must be comfortable navigating ambiguity, making evidence-based investment decisions, and mobilizing cross-functional teams to convert emerging technologies and white-space opportunities into measurable customer and business outcomes.
SUCCESS PROFILE A product innovator who has repeatedly transformed unproven ideas into validated, market-ready products through disciplined experimentation, rapid learning, and commercial execution.
Key Responsibilities
1. Product Innovation & Opportunity Development
Identify and prioritize emerging customer needs, market shifts, technology trends, and white-space opportunities that align with enterprise strategy and growth objectives.
Define compelling opportunity narratives, product theses, and value propositions grounded in customer evidence, market attractiveness, strategic fit, and differentiated advantage.
Build investment cases that clearly articulate the problem, target customer, addressable opportunity, solution hypothesis, expected value, key assumptions, risks, and funding requirements.
Maintain an innovation portfolio that balances near-term experiments with longer-term strategic bets, using clear criteria to start, continue, pivot, scale, or stop initiatives.
2. Product Incubation and 0-to-1 Execution
Own the complete incubation lifecycle from concept and discovery through prototype, MVP, pilot, product-market fit validation, commercialization, and scale transition.
Translate ambiguous opportunities into structured discovery plans, testable hypotheses, learning agendas, and sequenced experiments.
Apply Lean Startup, Design Thinking, and outcome-based product practices to accelerate learning while reducing investment and delivery risk.
Establish stage-gate governance with evidence-based decisions, explicit exit criteria, and transparent recommendations for continued investment.
Remain close to the work by shaping product concepts, reviewing prototypes, engaging design partners, interpreting pilot results, and resolving critical product trade-offs.
3. AI, Data and Emerging Technology Products
Define product strategies for AI-enabled, data-driven, analytics, automation, and platform capabilities that solve meaningful customer and business problems.
Partner with Engineering, Architecture, Data Science, Security, Privacy, Legal, and Compliance teams to assess technical feasibility, data readiness, model performance, operational needs, and enterprise risk.
Design data products with clear data sourcing, quality, interoperability, governance, insight delivery, and monetization considerations.
Define AI product requirements beyond model accuracy, including workflow integration, explainability, human oversight, reliability, monitoring, adoption, and measurable business impact.
Promote responsible AI practices by incorporating privacy, security, fairness, transparency, accountability, regulatory, and customer trust considerations throughout the product lifecycle.
4. Rapid Prototyping, Experimentation and Pilots
Champion rapid prototyping using modern design, low-code, AI-assisted, and engineering approaches to make ideas tangible and test assumptions quickly.
Lead design sprints, customer co-creation sessions, proof-of-concepts, concierge tests, MVPs, and controlled pilots with clear learning objectives.
Define success measures before each experiment, including customer desirability, usability, technical feasibility, operational viability, commercial potential, and strategic value.
Build strong design-partner relationships and establish mechanisms to gather, synthesize, and act on qualitative and quantitative feedback.
Create a high-learning-velocity environment where teams test critical assumptions early, share evidence transparently, and adapt direction rapidly.
5. Commercialization and Scale
Partner with Sales, Marketing, Customer Success, Finance, Operations, and Legal to define market positioning, target segments, pricing, packaging, launch readiness, and go-to-market plans.
Develop adoption and growth models that connect product usage to customer outcomes, revenue potential, retention, efficiency, or strategic differentiation.
Lead pilot-to-production decisions and create practical scale plans covering technology, operations, support, enablement, compliance, and financial sustainability.
Guide successful incubated products through a disciplined transition to a scaled product organization while preserving strategic intent, customer insight, and outcome accountability.
Monitor post-launch performance and continuously improve the product, proposition, and operating model based on evidence.
6. Product Strategy, Portfolio and Outcome Management
Set the vision, strategic narrative, objectives, and multi-quarter roadmap for the emerging product portfolio.
Define north-star outcomes, leading indicators, guardrail metrics, and learning metrics for each initiative.
Use customer data, product analytics, market intelligence, and financial evidence to prioritize opportunities and guide portfolio investment.
Balance speed with quality and risk, making explicit trade-offs among customer value, business impact, strategic alignment, technical feasibility, and time to learning.
Communicate portfolio health, evidence, risks, decisions, and recommended actions to executive stakeholders with clarity and candor.
7. Cross-Functional and Executive Leadership
Create shared direction across Product, Engineering, UX, Data, Architecture, Sales, Mar