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 is pivotal in guiding the entire 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 be the central hub, aligning business goals with technical execution and ensuring 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: Move beyond one-off solutions to build a portfolio of internal AI products that deliver compounding value and can be scaled across various departments and functions, driving enterprise-wide productivity gains.


• Cross-Functional Orchestration: Act as the primary product leader for the AI Innovation Pod, orchestrating the contributions of peer specialists (including the AI Engineer, Solutions Designer, and Data Integration Lead) to deliver on the internal product roadmap and business objectives.


• Internal Value Creation: Own the business success of the internal AI product portfolio, ensuring that investments in AI translate into significant 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 return on investment (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 create and execute effective 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:

• Deeply understand the unique challenges and opportunities of Inovalon's internal operations within the healthcare domain, ensuring AI solutions are designed to be compliant, secure, and effective.


• Champion a user-centric approach, leveraging the pod’s Business Analyst to gather requirements from internal users and ensure the final product is intuitive, valuable, and drives high adoption.


• Collaborate with legal, compliance, and security teams to proactively address risks and ensure internal AI products adhere to all relevant 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 robust framework for gathering user feedback and performance data to inform the product roadmap and drive continuous improvement.


• Lead post-launch reviews to assess product performance against business goals, using insights to refine strategy and guide future investment.

Strategic Solution Sourcing

• Build vs. buy vs. extend decisions across the AI portfolio—balancing speed-to-value against 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 a related field like corporate strategy or business transformation, with at least 4+ years focused on driving 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.


• Demonstrated experience owning the business case for internal investments and reporting on ROI and value delivery to senior and executive leadership.

Technical Capabilities:

• Deep understanding of the AI/ML product development lifecycle, from data acquisition and model training to deployment and in-market monitoring.


• Strong technical fluency; able to engage in deep, credible discussions with engineering teams about architecture, AI platforms (e.g., Claude, GPT, Gemini), and technical 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 (ADO) or Jira, to define user stories and track development progress.


• While not a coding role, an ability to grasp modern software development practices is essential.

Domain / Context:

• Substantial experience in healthcare technology, healthcare operations, or another regulated, data-intensive industry is strongly preferred.


• Demonstrated ability to quickly learn complex internal workflows and partner effectively with subject matter experts to define product requirements.

Leadership & Execution:

• Proven ability to lead, influence, and align cross-functional teams (engineering, IT, operations, finance) without direct authority.


• Exceptional communication skills, capable of effectively articulating product strategy and complex concepts to both technical and non-technical audiences.


• Comfort and experience thriving in a dynamic "0→1" environment, with a knack for bringing structure to ambiguity and building functions that scale.

Preferred Qualifications

• Experience managing and mentoring other product managers or business analysts.


• Background in management consulting or corporate strategy with a focus on operational improvement before moving into a product leadership role.