Equifax

Equifax

USIS D&A - Vice President, Data Acquisition and Partnerships

USA - Georgia - Alpharetta - 30005 · Exec · Full-time

Sponsorship not specifiedDetected 5 days ago
NegotiationForecastingM&ALeadershipCommunication

About the role

  • Equifax is where you can power your possible.
  • The Vice President, Data Acquisition and Partnerships, serves as the senior executive responsible for the USIS wide data acquisition strategy.
  • This leader defines and executes the roadmap for data sourcing, monetization, and strategic partnerships, acting as a critical architect for Equifax's competitive advantage.

Responsibilities

  • Partnership & Relationship Management: Cultivate and maintain critical C-suite relationships with external partners, boards, and industry exchanges. Serve as the face of Equifax to vendors and key industry stakeholders.
  • Contract Negotiation & Management: Lead the efforts towards next-generation data capabilities.
  • Team Leadership & Talent Development: Develop and mentor a high-performing global organization. Build a culture of accountability, agility, and continuous improvement, empowering the team to deliver "best-in-industry" results.
  • Cultivate and maintain critical C-suite relationships with external partners, boards, and industry exchanges.
  • Develop and mentor a high-performing global organization.

Requirements

  • Strategic Visionary: Demonstrated ability to look beyond immediate operational needs to identify market-disrupting trends, competitive advantages, and long-term growth opportunities.
  • Executive Influence: Proven track record of influencing senior stakeholders in a highly matrixed organization without direct authority.
  • Industry Expertise: Deep subject matter expertise in financial services, identity & fraud, data and analytics business models, and the regulatory environment.
  • Ability to serve as a thought leader on data policy and industry trends.
  • Strong experience in delivering complex, enterprise-grade projects on time and within scope.
  • Communication: Exceptional verbal and written communication skills, with the ability to distill complex technical/data concepts into compelling executive-level narratives.
  • 15+ years of experience in strategic planning, data management, or business strategy, preferably within data-driven financial services or technology companies.
  • 10+ years of proven executive-level leadership experience managing large, cross-functional teams.
  • Advanced proficiency in navigating complex global privacy frameworks and the evolving data regulation environment.
  • Demonstrated ability to look beyond immediate operational needs to identify market-disrupting trends, competitive advantages, and long-term growth opportunities.
  • Bachelor's degree in a related discipline required; Master's Degree or MBA strongly preferred.
  • Extensive experience in managing high-stakes vendor negotiations and building multi-party data partnerships.

Nice to have

  • Bachelor's degree in a related discipline required
  • Master's Degree or MBA strongly preferred.

Skills

  • Lead the efforts towards next-generation data capabilities.
  • Oversee the development of a monetization framework, linking data assets directly to product revenue and enterprise ROI.
  • Identify and pursue opportunities for M&A due diligence and integration.
  • Proven track record of influencing senior stakeholders in a highly matrixed organization without direct authority.
  • Expert negotiation skills for complex, multi-million dollar data agreements and licensing frameworks.

Compensation

  • We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Benefits

  • Education & Qualifications:
  • We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
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This listing is sourced directly from Equifax's careers page and normalized into a canonical job model.