Senior Director, AI Product Management

Overview

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.

Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.

Position Summary

The Senior Director of AI Product Management is a key leadership role within Inovalon's AI Innovation Pod. This individual will be responsible for defining and executing the product vision, strategy, and roadmap for internally facing AI capabilities. This role guides the product lifecycle from identifying opportunities for operational improvement and analyzing stakeholder needs to overseeing deployment, adoption, and iteration. The Senior Director will lead the transformation of internal challenges into scalable, high-impact AI solutions that drive significant operational efficiency, cost savings, and long-term enterprise value. As a senior leader, you will align business goals with technical execution and ensure our internal AI initiatives deliver transformative value to the organization.

Impact & Scope

• Operational Efficiency & Cost Savings: Define and launch AI-powered tools and platforms that optimize internal business processes, automate manual workflows, and deliver measurable cost savings across the enterprise.
• Strategic Internal Product Vision: Establish and champion a clear, long-term product vision and roadmap for internal AI at Inovalon, ensuring alignment with executive leadership and strategic business unit objectives.
• Enterprise Scalability: Build a portfolio of internal AI products that deliver compounding value and can be scaled across departments and functions, driving enterprise-wide productivity gains.
• Cross-Functional Orchestration: Act as the primary product leader for the AI Innovation Pod, coordinating peer specialists to deliver on the internal product roadmap and business objectives.
• Internal Value Creation: Own the business success of the internal AI product portfolio, ensuring AI investments translate into improvements in operational margins, employee productivity, and speed of execution.

Key Responsibilities

Internal Product Strategy & Vision

• Develop, articulate, and maintain the internal AI product vision, strategy, and a prioritized roadmap that aligns with internal stakeholder needs and company-wide efficiency goals.
• Conduct in-depth stakeholder interviews, process mapping, and internal data analysis to identify and validate high-potential opportunities for AI-driven transformation.
• Build and present compelling business cases for new internal product investments to executive leadership, detailing the operational problem, proposed solution, and projected ROI.

Execution & Cross-Functional Leadership

• Drive the AI Innovation Pod's execution by translating the internal product roadmap into clear requirements, user stories, and deliverables for engineering, design, and data integration specialists.
• Own the product backlog and prioritization process, making strategic trade-offs between new features, operational improvements, and technical debt to maximize business value.
• Partner with department heads, IT, and change management teams to execute deployment and adoption strategies, including internal communications, training programs, and user support.
• Serve as the key interface between the AI pod and business unit stakeholders, ensuring continuous alignment, communication, and feedback throughout the product development lifecycle.

Domain-Aware AI Product Management

• Understand the challenges and opportunities of Inovalon's internal operations within the healthcare domain, ensuring AI solutions are compliant, secure, and effective.
• Champion a user-centric approach, leveraging the pod's Business Analyst to gather requirements from internal users and drive adoption.
• Collaborate with legal, compliance, and security teams to proactively address risks and ensure AI products adhere to data standards and privacy requirements.

Value Measurement & Lifecycle Management

• Define, monitor, and report on key product metrics and KPIs, including adoption rates, user satisfaction, process efficiency gains, and cost savings.
• Establish a framework for gathering user feedback and performance data to inform the road map and drive continuous improvement.
• Lead post-launch reviews to assess product performance against business goals and guide future investment.

Strategic Solution Sourcing

• Build vs. buy vs. extend decisions across the AI portfolio, balancing speed-to-value with architectural coherence, total cost of ownership, vendor lock-in risk, and long-term optionality as the AI landscape evolves.

Required Qualifications

Business & Strategic Acumen

• 10+ years of experience in product management or related fields, with at least 4+ years focused on large-scale internal technology initiatives.
• Proven track record of defining a strategic vision and leading successful internal product or platform launches from concept to scale.
• Experience owning the business case for internal investments and reporting ROI and value delivery to senior leadership.

Technical Capabilities

• Deep understanding of the AI/ML product development lifecycle from data acquisition to deployment and monitoring.
• Strong technical fluency; able to engage with engineering teams about architecture, AI platforms (e.g., Claude, GPT, Gemini), and trade-offs.
• Experience with API-driven services, cloud infrastructure, and building scalable, enterprise-grade software.

• Experience with agile planning and backlog management tools, specifically Azure DevOps or Jira, to define user stories and track progress.
• While not a coding role, ability to grasp modern software development practices is essential.

Domain / Context

• Healthcare technology or regulated, data-intensive industry experience is preferred.
• Ability to learn complex internal workflows and partner with subject matter experts to define requirements.

Leadership & Execution

• Proven ability to lead and align cross-functional teams without direct authority.
• Exceptional communication skills to articulate product strategy to technical and non-technical audiences.
• Comfort thriving in a dynamic environment, with a knack for bringing structure to ambiguity and building scalable functions.

Preferred Qualifications

• Experience mentoring other product managers or business analysts.
• Background in management consulting or corporate strategy focused on operational improvement before moving into product leadership.

Equal Opportunity & Legal

This position is not eligible for immigration sponsorship. Applicants must be authorized to work in the United States. (This applies to US-based positions)

If you don’t meet every qualification but are excited about our mission, we encourage you to apply. Inovalon is interested in finding the best candidate for the job, and you may be right for this or other roles.

Inclusion is a foundational value at Inovalon. We strive to provide equal opportunities to the communities where we operate and to our clients and everyone we serve. We aim to create a culture of inclusion where associates feel empowered to bring their full, authentic selves to work and pursue professional goals in an equitable setting. We believe this fosters innovation and growth.

Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

To review legal requirements, including labor law posters, please visit the designated link. To review the California Consumer Privacy Statement for California Residents, please visit the provided link.

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