Vice President, Technology and Product

About this role

Strategic Leadership

• Define and execute the technology roadmap with a focus on AI-driven personalization and content intelligence.

• Champion rapid prototyping and experimentation culture across engineering and product teams

• Partner with Product, Editorial, Sales, and Marketing teams to translate business needs into technical solutions.

• Lead AI/ML initiatives for content curation, recommendation engines, and predictive physician engagement.

• Establish an experimentation framework with an A/B testing infrastructure and data-driven decision-making.

• Drive innovation sprints and hackathons to accelerate the development of new features.

Platform & Architecture

• Build robust community platforms enabling peer-to-peer engagement among healthcare professionals.

• Develop a comprehensive MarTech stack integrating CDP, marketing automation, and omnichannel orchestration.

• Architect first-party data infrastructure to capture, unify, and activate physician behavioral signals

• Design scalable APIs and integration layers for pharmaceutical partner platforms and data exchanges.

• Implement real-time personalization engines leveraging machine learning and behavioral targeting.

• Create a modular, composable architecture supporting rapid feature deployment and experimentation.

• Ensure platform reliability, security, and compliance with healthcare industry standards (HIPAA, etc.)

Team Development & Management

• Build and scale a high-performing engineering organization embracing experimentation and innovation.

• Foster a culture of rapid prototyping, fail-fast mentality, and continuous learning.

• Establish innovation time (20% projects) and regular hackathons for creative exploration.

• Implement agile development with emphasis on quick iterations and the MVP approaches.

• Create cross-functional pods combining engineering, data science, and growth teams.

• Partner with HR on talent acquisition, focusing on AI/ML and growth engineering expertise.

Data & Analytics

• Build a comprehensive first-party data strategy to create a competitive advantage in physician engagement.

• Develop unified physician profiles aggregating behavioral, preference, and interaction data across touchpoints.

• Implement a customer data platform (CDP) for real-time audience segmentation and activation.

• Create data clean rooms for secure collaboration with a pharmaceutical partners.

• Design privacy-first architecture supporting targeted advertising without third-party cookies.

• Build predictive models for content affinity, engagement propensity, and lifetime value.

AI & Innovation

• Lead AI transformation with a focus on generative AI for content creation and summarization.

• Implement LLMs for automated medical literature analysis and insight extraction.

• Develop an experimentation platform that enables the rapid testing of new features and algorithms.

• Create an innovation lab for exploring emerging technologies (voice interfaces, AR/VR, etc.)

• Build ML pipelines for automated content tagging, classification, and knowledge graphs.

• Foster a fail-fast mentality with a structured approach to proof-of-concepts and MVPs.

Community & Engagement

• Design and implement features for the physician community, enabling peer collaboration and knowledge sharing.

• Build social layers, including discussion forums, case studies, and peer review systems, to foster a collaborative environment.

• Develop gamification strategies to increase engagement and platform stickiness.

• Create user-generated content platforms with moderation and quality control systems.

• Implement social proof mechanisms (ratings, reviews, endorsements) for content and CME programs.

• Build referral and advocacy programs leveraging network effects.

Vendor & Stakeholder Management

• Evaluate and integrate best-in-class MarTech vendors across the marketing technology stack.

• Build strategic partnerships with AI/ML platform providers and data enrichment services.

• Manage relationships with advertising technology partners for programmatic capabilities.

• Collaborate with M3 global technology teams on shared AI initiatives and data strategies.

• Present the technology strategy and experimentation results to the board and executive stakeholders.

• Optimize technology spend with a focus on ROI from rapid prototyping and MVP validation.

Experience

• 7+ years of progressive technology leadership experience, with at least 3 years managing engineering teams.

• Proven track record in digital publishing, content management, or healthcare technology sectors.

• Experience scaling platforms serving millions of users with high availability requirements.

• Demonstrated success in AI/ML implementation and rapid prototyping initiatives.

• Background in building experimentation frameworks and data-driven product development.

• Track record in community platform development and user-generated content systems.

Technical Expertise

• Deep understanding of AI/ML platforms, LLMs, and generative AI applications.

• Experience with MarTech ecosystems (CDPs, DMPs, marketing automation, attribution).

• Proficiency in building community platforms and user-generated content systems.

• Strong background in experimentation platforms and feature flagging systems.

• Knowledge of first-party data strategies, identity resolution, and privacy-compliant targeting.

• Experience with real-time personalization, recommendation engines, and predictive analytics.

• Familiarity with modern cloud platforms (AWS preferred) and event-driven architectures.

Leadership Skills

• Strategic vision balanced with hands-on experimentation and a rapid iteration mindset.

• Strong advocate for data-driven decision making and hypothesis-driven development.

• Ability to build and champion a test-and-learn culture across the organization.

• Excellent communication skills for engaging with both technical and non-technical stakeholders.

• Experience…