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MSD
MSD
Sponsor pentru viza H1BAsistență medicalăBiotehnologieLogistică

MSD este o companie biofarmaceutică globală care dezvoltă medicamente și vaccinuri pentru provocări majore din domeniul sănătății, inclusiv cancerul, bolile infecțioase, afecțiunile cardiovasculare și metabolice, precum și îngrijirea axată pe prevenție. Cunoscută sub numele Merck & Co., Inc. în Statele Unite, Canada și Puerto Rico, MSD îmbină cercetarea științifică cu expertiza în dezvoltare și comercializare pentru a oferi soluții de îngrijire a sănătății oamenilor și animalelor.

Activitatea sa acoperă domeniile Sănătății Umane, Sănătății Animalelor și Cercetării și Dezvoltării, creând oportunități pentru profesioniști din echipe științifice, clinice, comerciale, operaționale și corporative. Prin activitățile desfășurate în regiuni din întreaga lume, carierele la MSD reflectă accentul pus pe cercetare, colaborare, incluziune și progres responsabil în domeniul sănătății globale.

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Locurile de muncă ale companiei

Director, Field AI Capabilities (Hybrid)

Lead MSD’s strategy, governance, and adoption of AI products for field-based healthcare teams. Build scalable capabilities and measurable business value across US and international markets.

USStatele Unite ale AmericiiNJNew JerseyPAPennsylvania
173.200 $ – 272.600 $ / an
HibridNormă întreagăLiderLimbă Obligatorie: englezăInteligență artificială

Descriere

  • Set the Field AI Capabilities vision, strategy, and multiyear roadmap for US and international markets
  • Convert business challenges and user needs into a prioritized portfolio of high-value AI use cases with measurable outcomes
  • Oversee the full product lifecycle, from discovery and experience design through development, launch, ongoing management, and value realization
  • Create a scalable global capability model that balances shared platforms, reusable components, standards, and local market requirements
  • Collaborate with Technology, Data & Analytics, Commercial Operations, Sales, Marketing, Market Access, Medical, Privacy, Legal, and Compliance teams
  • Implement product, data, and responsible AI governance covering decision rights, human oversight, quality, risk controls, monitoring, issue management, and lifecycle standards
  • Increase adoption and support behavior change through user-centered design, field co-creation, communications, training, support, and feedback
  • Establish and monitor portfolio KPIs such as adoption, user satisfaction, productivity, quality, cycle time, customer-engagement impact, business value, cost, and risk
  • Present progress and key decisions to senior stakeholders
  • Manage and grow a multidisciplinary team of employees, contractors, and strategic partners
  • Track emerging developments in AI, field enablement, and customer engagement
  • Assess and scale differentiated capabilities while overseeing investment, architecture, governance, and vendors

Cerințe

  • Bachelor’s or master’s degree in computer science, data science, engineering, business, product management, or a related field
  • At least 10 years of experience in digital, data, analytics, AI, product management, commercial technology, or commercial operations
  • Proven leadership experience supporting field-based organizations
  • Background setting strategy and delivering AI or digital product portfolios end to end
  • Experience designing, developing, launching, or scaling AI products, including generative AI, copilots, intelligent recommendations, automation, or decision-support tools
  • Strong knowledge of responsible AI, data governance, privacy, security, model and content quality, human oversight, and monitoring in regulated environments
  • Experience operating across US and international markets and scaling global capabilities
  • Excellent executive communication, influence, and stakeholder-management skills
  • Demonstrated ability to lead people and develop talent
  • Experience managing employees, contractors, vendors, budgets, and strategic partnerships
  • Experience leading change management, training, field enablement, and adoption measurement
  • Working knowledge of Agile and product operating models
  • Machine learning (ML)
  • Risk management
  • Product management
  • Program management
  • Stakeholder management
  • Strategic leadership
  • Visa sponsorship available

Beneficii

  • Eligibility for an annual bonus
  • Eligibility for long-term incentives, where applicable
  • Medical, dental, and vision coverage
  • Additional insurance benefits for employees and their families
  • Retirement benefits, including a 401(k)
  • Paid holidays
  • Vacation leave
  • Compassionate leave
  • Sick leave
  • Visa sponsorship
  • Hybrid work arrangement
  • 10% travel requirement

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