5 часов назад
Global Head of External Data Vendor Management
163 000 - 221 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Global Head of External Data Vendor Management (Data and AI): Developing and optimizing a global portfolio of external data and expert vendors to enhance consulting services, maximize data value, and improve vendor ROI with an accent on strategic vendor management, AI integration, and cost optimization. Focus on leading a diverse team, interpreting complex data, engaging senior stakeholders, and building metrics to evaluate vendor performance.
Location: Hybrid; at least three days per week in the local office or onsite with clients.
Salary: $163,000–$221,000 base salary annually, plus potential performance-based incentives.
Company
Oliver Wyman is a management consulting firm and a business that advises clients across industries and countries.
What you will do
- Develop and implement a comprehensive strategy for managing external data and expert vendors.
- Identify and maximize the value of vendor data sources to improve consulting services and client insights.
- Lead initiatives integrating emerging technologies and AI into data management and analytics.
- Analyze spending and vendor performance, identify cost-saving opportunities, and establish vendor ROI metrics.
- Lead and mentor a diverse team while fostering collaboration and continuous development.
- Engage senior stakeholders and represent Oliver Wyman in external forums.
Requirements
- Proven experience in external data vendor management, vendor management, and strategic planning.
- Experience in consulting or professional services is preferred.
- Strong analytical skills and the ability to interpret complex data and generate actionable insights.
- Demonstrated experience managing teams and building collaborative work environments.
- Excellent communication and stakeholder engagement skills.
- Bachelor’s degree in Data Science, Business Administration, Information Technology, or a related field; an advanced degree is preferred.
Nice to have
- Advanced degree.
- Experience applying AI technologies to data management and analytics.
Culture & Benefits
- Hybrid work with office collaboration, professional development, and remote-work flexibility.
- Health and welfare benefits.
- Tuition assistance.
- 401(k) savings and other retirement programs.
- Employee assistance programs.
- Inclusive and flexible work environment.
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