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Formedics LLC

Senior Vice President of Data and Analytics

  • +2
  • +1
  • US
    New Jersey, United States
Manifester de l'intérêt pour ce poste
  • +2
  • +1
  • US
    New Jersey, United States

À propos

Senior Vice President of Data and Analytics

Location: Hybrid (Basking Ridge, NJ) or Fully Remote At Formedics, we’re revolutionizing healthcare communication through cutting-edge technology and dynamic platforms. Our flagship properties include Physician’s Weekly, the largest point-of-care (POC) network, and Figure1, the leading app for healthcare professional (HCP) learning and collaboration. With our recent acquisition of AMC Media Group, we now manage a diverse portfolio of 25 digital properties alongside 12 prominent medical society partnerships. Our AI/ML technology enables unrivaled targeting and impact for pharmaceutical and life science brands, shaping the future of healthcare engagement. Role Overview The Senior Vice President (SVP) of Data and Analytics is a visionary leader responsible for shaping and executing a multi-year data strategy that positions data as a core business differentiator. This role leads complex, cross-functional teams and initiatives, driving innovation, operational excellence, and long-term business impact through data, analytics, and machine learning. The SVP partners closely with the ELT to align the data roadmap with the company’s strategic goals and ensures the organization is prepared to capitalize on emerging trends in data and technology. Key

Responsibilities: Lead the development and execution of a long-term data strategy that transforms data into a competitive advantage. Partner with the ELT to ensure the data roadmap aligns with and supports the company’s long-term business strategy. Identify and act on organizational opportunities that promote stability, clarity, and scalable growth across data functions. Independently manage and grow large, complex teams, including the development of new capabilities across industry groups. Represent the data organization at all levels of seniority, internally and externally, with clarity and influence. Embed leadership principles and high-performance culture across teams, fostering innovation and accountability. Drive cross-functional initiatives that span talent strategy, product and technology development, and enterprise-wide data programs. Deep expertise in data, analytics, and machine learning, with a strong grasp of industry trends and emerging technologies. Proven ability to identify, recruit, and develop high-performing talent across technical and leadership roles. Strong executive presence and communication skills; able to influence and inspire across all levels of the organization. Demonstrated ability to lead large-scale, cross-functional initiatives with measurable business outcomes. Strategic thinker with a track record of transforming capabilities and building future-ready organizations. Operates with intentionality and thought leadership, leaving a lasting impact on teams and business direction. Key Experiences: Consistently drives innovation and strategic thinking beyond core responsibilities. Recognized as a role model and exemplary leader across the organization. Demonstrated success in building and scaling data organizations that materially impact business performance. Experience leading enterprise-wide initiatives that integrate people, process, and technology to deliver value. Proven ability to shape the future of an industry group through data-driven insights and leadership. What We Offer: Access to NJ-based office Company-sponsored events 401(k) program Medical benefits including Dental and Vision Life insurance Paid time off Training and development programs We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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Compétences idéales

  • Machine Learning
  • New Jersey, United States

Expérience professionnelle

  • Data Analyst
  • Data Scientist

Compétences linguistiques

  • English