Vice President, Technology and Product

🕒 il y a 1 mois

🌐 Royaume-Uni, États-Unis – Distant

🇬🇧 Royaume-Uni – Télétravail 🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

👔 Vice-président

👻 Score fantôme 30%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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M3 USA

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2000

🏥 Santé

💼 Conseil

⚕️ Assurance santé

Healthcare • Consulting • Healthcare Insurance

M3 USA est une entreprise spécialisée dans la fourniture de solutions d’études de marché, de recrutement et de promotion pour le secteur de la santé. Elle s’attache à mettre en relation les professionnels de santé, en particulier les médecins, avec des outils et des ressources qui améliorent la pratique médicale. À travers une gamme de services, notamment : • études de marché qualitatives et quantitatives, • promotion multicanale, • recrutement dans la santé, • essais cliniques, M3 USA accompagne l’industrie des sciences de la vie en permettant aux professionnels de santé de rester informés et de prodiguer des soins optimaux. Filiale de M3 Inc. , M3 USA collabore avec des laboratoires pharmaceutiques de premier plan et propose des capacités de recherche étendues en Europe et aux États-Unis. L’entreprise est reconnue pour son approche data-driven et ses efforts de mise en réseau au sein de la communauté de santé.

Description

• Define and execute the technology roadmap focused on AI-driven personalization and content intelligence • Champion rapid prototyping and experimentation across engineering and product teams • Translate business needs into technical solutions with Product, Editorial, Sales, and Marketing teams • Lead AI/ML initiatives for content curation, recommendation engines, and predictive physician engagement • Establish A/B testing infrastructure and data-driven decision-making frameworks • Drive innovation sprints and hackathons • Build community platforms enabling peer-to-peer engagement among healthcare professionals • Develop an integrated MarTech stack with CDP, marketing automation, and omnichannel orchestration • Architect first-party data infrastructure and unified physician profiles • Design scalable APIs and integration layers for pharmaceutical partner platforms and data exchanges • Implement real-time personalization engines using machine learning and behavioral targeting • Ensure platform reliability, security, and healthcare-industry compliance • Build and scale a high-performing engineering organization • Establish innovation time and regular hackathons • Implement agile development emphasizing quick iterations and MVP approaches • Create cross-functional pods combining engineering, data science, and growth teams • Partner with HR on talent acquisition focused on AI/ML and growth engineering • Build first-party data strategies, CDP capabilities, data clean rooms, and privacy-first targeting architecture • Develop predictive models for content affinity, engagement propensity, and lifetime value • Lead generative AI transformation for content creation, summarization, medical literature analysis, and insight extraction • Build ML pipelines for content tagging, classification, and knowledge graphs • Design physician-community features, social layers, user-generated content, moderation, and quality-control systems • Develop gamification, social proof, referral, and advocacy programs • Evaluate and integrate MarTech vendors and build AI/ML and data partnerships • Manage advertising technology partner relationships • Collaborate with M3 global technology teams on AI initiatives and data strategies • Present technology strategy and experimentation results to the board and executive stakeholders • Optimize technology spend based on ROI from rapid prototyping and MVP validation

🎯 Exigences

• 7+ years of progressive technology leadership experience • 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 • Deep understanding of AI/ML platforms, LLMs, and generative AI applications • Experience with MarTech ecosystems, including CDPs, DMPs, marketing automation, and 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 • 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 • Excellent communication skills for 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: experience building professional communities or social platforms in healthcare/medical sectors • Preferred: background in programmatic advertising, ad tech, and yield optimization • Preferred: knowledge of Customer Data Platforms such as Segment, mParticle, and Adobe Experience Platform • Preferred: experience with rapid prototyping methodologies such as Design Sprints and Lean Startup • Preferred: track record implementing generative AI in production environments • Preferred: familiarity with FHIR and HL7 • Preferred: experience with growth engineering and conversion rate optimization • Preferred: background in developer ecosystems and API marketplaces • Preferred: previous experience in private equity portfolio companies or high-growth environments

🏖️ Avantages

• 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

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