Description

Medscape, a division of WebMD, develops and hosts physician portals and related mobile applications that make it easier for physicians and healthcare professionals to access clinical reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers.

WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

About Medscape

Role Overview

Mission

Key Responsibilities

Program & Delivery Management

• Own end-to-end delivery of AI initiatives across:
• AI-enabled learning experiences
• Supporter-facing products and insights
• Internal AI-powered workflows
• Define and manage roadmaps, timelines, dependencies, and risks
• Ensure alignment across product, engineering, data science, and business teams
• Drive execution across multiple concurrent initiatives with varying complexity

Cross-functional Coordination

• Act as the central point of coordination between:
• Product managers
• Engineering teams (frontend, backend, AI/ML)
• Data science and analytics
• Education business and operations teams
• Facilitate clear communication, decision-making, and prioritization across stakeholders
• Ensure smooth handoffs between product definition, technical implementation, and operational delivery

Technical Execution Support

• Coordinate the delivery of AI/ML solutions that simplify core business processes, improve quality, and increase operational efficiency
• Support the translation of business problems into technical requirements, acceptance criteria, and measurable success metrics
• Coordinate with engineering, data science, and platform teams to ensure:
• API integrations
• Observability and monitoring
• SLAs, incident management, and runbooks
• Coordinate model lifecycle activities in partnership with AI and engineering teams, including:
• Model validation and bias checks
• Monitoring and CI/CD for models
• Retraining cadence and rollback/playbook procedures
• Support production readiness and scalability of AI solutions across environments (POC → pilot → production)
• Maintain clear and structured documentation, including:
• Architecture decisions (in partnership with engineering)
• Runbooks and compliance artifacts
• Post-mortems and learnings

Operationalization & Scalability

• Support the rollout of AI capabilities into repeatable, scalable operational processes
• Coordinate implementation of:
• Data pipelines and reporting workflows
• Program delivery processes
• Internal tools and automation
• Ensure solutions can be consistently deployed across education programs, not as one-off implementations

Process & Governance

• Establish and maintain delivery frameworks, rituals, and tracking mechanisms
• Monitor progress against milestones and proactively manage risks and blockers
• Ensure alignment with:
• Compliance requirements (e.g., ACCME constraints where applicable)
• Data governance and privacy standards
• Contribute to improving team efficiency, predictability, and execution quality

Internal Enablement

• Support the deployment of AI across internal workflows, including:
• Content production and authoring processes
• Grant development and program setup
• Reporting and supporter deliverables
• Help teams adopt new tools and workflows effectively

Success Metrics

• On-time and high-quality delivery of AI initiatives
• Ability to scale AI solutions across multiple programs and use cases
• Reduction in delivery friction and cross-team dependencies
• Improved predictability of timelines and execution
• Adoption of AI-enabled workflows by internal teams

Profile

• 5–8+ years of experience in technical project or program management
• 2+ years working on AI/ML or data-intensive products
• Strong understanding of:
• LLMs, RAG systems, and AI product architectures
• APIs, data pipelines, and cloud environments
• MLOps concepts (evaluation, monitoring, lifecycle)
• Experience delivering products in regulated environments (healthcare preferred)
• Strong stakeholder management and coordination skills
• Experience working in cross-functional, matrixed environments

Preferred

• Experience in medical education, healthcare content, or life sciences
• Familiarity with AI tooling (LLMs, vector databases, prompt engineering)
• Experience managing vendors and SaaS integrations
• Certifications (PMP, Scrum, or equivalent)

Core Competencies

• Strong technical literacy and ability to work with engineering and AI teams
• Structured, execution-focused mindset
• Ability to coordinate complex initiatives across multiple stakeholders
• Risk-aware approach with focus on compliance and quality
• Pragmatic, outcome-driven execution

Reporting

• Solid line: Head of PMO 
• Dotted line: Dotted line: Head of Medscape Education AI Strategy 

Salary range: $110,000.00 - $115,000.00

Bonus Eligible: This position is also eligible for a discretionary company bonus, based upon business results.

Benefits:

• Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment:
• Health Insurance (medical, dental, and vision coverage)
• Paid Time Off (including vacation, sick leave, and flexible holiday days)
• 401(k) Retirement Plan with employer matching
• Life and Disability Insurance
• Employee Assistance Program (EAP)
• Commuter and/or Transit Benefits (if applicable)

Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment.