Vice President, Technology and Product (Remote)

Company Description About M3: A Japanese global leader in the provision of ground-breaking and innovative technological and research solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members globally via its physician websites which include mdlinx.com, m3.com, research.m3.com, Doctors.net.uk, medigate.net, and medlive.cn. M3 Inc. is a publicly traded company on the Tokyo Stock Exchange (jp:2413, NIKKEI 225) with subsidiaries in major markets including the US, UK, Japan, South Korea, and China, and in 2020 was ranked in Forbes’ Global 2000 list. The M3 Group provides services to healthcare and the life science industry. In addition to market research, these services include medical education, ethical drug promotion, clinical development, job recruitment, and clinic appointment services. M3 has offices in Japan, UK, France, Germany, Brazil, Sweden, China, USA, and South Korea, as well as India. Due to our continued growth, we are hiring for a Vice President, Technology and Product to join MDLinx , an M3 company. About the Business Unit: MDLinx Mission: Transform Omnichannel from Message Delivery to Belief Engineering MDLinx is on the path to transform its business and product line-up from endemic to omnichannel engagement model, aiming at fulfilling the promise of true omnichannel approach to pharmaceutical brand promotion – “right message to the right physician at the right time on the right channel”. Our goal is to provide pharmaceutical brands with best-in-class personalized HCP engagement programs across the wider media ecosystem, designed to accelerate disease state and brand knowledge penetration, lead generation, and customer conversion. Our ambition is to leverage an omnichannel approach to establish a new philosophy for physician engagement, shifting from delivery to belief engineering. Job Description 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. Qualifications 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 driving growth through technical innovation and rapid market testing. Track record of building high-velocity engineering teams focused on business impact. Preferred Qualifications Experience building professional communities or social platforms in healthcare/medical sectors. Background in programmatic advertising, ad tech, and yield optimization. Knowledge of Customer Data Platforms (Segment, mParticle, Adobe Experience Platform). Experience with rapid prototyping methodologies (Design Sprints, Lean Startup). Track record implementing generative AI in production environments. Familiarity with healthcare data interoperability standards (FHIR, HL7). Experience with growth engineering and conversion rate optimization. Background in building developer ecosystems and API marketplaces. Previous experience in private equity portfolio companies or high-growth environments. Additional Information Benefits: A career opportunity with M3USA offers competitive wages, and benefits such as: Health and Dental Life, Accident and Disability Insurance Prescription Plan Flexible Spending Account 401k Plan and Match Paid Holidays and Vacation Sick Days and Personal Day *M3 reserves the right to change this job description to meet the business needs of the organization #LI-MM1 #LI-Remote