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For Companies At a Glance
- Tasks: Lead and optimise external data vendor management to enhance consulting services.
- Company: Oliver Wyman is a global leader in management consulting with over 7,000 professionals worldwide.
- Benefits: Enjoy competitive pay, comprehensive benefits, and a flexible hybrid work environment.
- Why this job: Join a diverse team focused on innovation, collaboration, and professional growth.
- Qualifications: Experience in vendor management, strong analytical skills, and familiarity with AI technologies required.
- Other info: This role requires working from the London office at least 60% of the time.
The predicted salary is between 72000 - 100000 £ per year.
Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 7,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities.
Please Note: Oliver Wyman/MMC operates a hybrid working policy and we will require the successful candidate to work from the London Baker Street office at least 60% of the time.
The Opportunity
Oliver Wyman is seeking a strategic leader to join our team as the Global Head of External Data Vendor Management. In this pivotal role, you will oversee and optimize our extensive portfolio of data and expert vendors, driving the strategic value derived from these partnerships to enhance our consulting services across various industries.
Key Responsibilities:
- Strategic Vendor Management: Developing and implementing a comprehensive strategy for managing Oliver Wyman’s portfolio of external data vendors, ensuring alignment with our strategic objectives.
- Data Utilization and Value Maximization: Identifying and unlocking the value of vendor data sources to enhance consulting services and deliver actionable insights to clients.
- Technology and AI Integration: Staying abreast of emerging technologies and lead initiatives to integrate AI solutions, ensuring we remain at the forefront of innovation.
- Cost Management and Optimization: Analyzing spending patterns and vendor performance to identify opportunities for cost savings while implementing metrics to evaluate vendor ROI.
- Team Leadership and Development: Leading and mentoring a diverse team of professionals, fostering a culture of collaboration, continuous improvement, and professional development.
- Collaboration and Stakeholder Engagement: Interfacing with senior leadership to align data management strategies with broader organizational goals and represent Oliver Wyman in external forums.
Who We Are Looking For:
- We’re keen to hear from individuals with proven experience in external data vendor management, vendor management, and strategic planning.
- Experience gained from within a consulting or professional services environment is preferred.
- You’ll have strong analytical skills with the ability to interpret complex data and generate actionable insights.
- You’ll bring demonstrated experience in managing teams and fostering a collaborative work environment.
- Excellent communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders will be key strengths for you.
- Familiarity with AI technologies and their application in data management and analytics is expected.
- Bachelor’s degree in Data Science, Business Administration, Information Technology, or a related field; an advanced degree is preferred.
Why Join Us?
At Oliver Wyman, we are committed to creating a diverse and inclusive environment where everyone can thrive. We value collaboration, integrity, and excellence, and we encourage our team members to bring their authentic selves to work. Our culture promotes continuous learning and development, providing opportunities for growth and advancement within the firm. We offer competitive compensation, comprehensive benefits, and a flexible work environment that supports work-life balance. Join us in making a difference for our clients and communities while advancing your career in a supportive and innovative setting.
Oliver Wyman is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Global Head of External Data Vendor Management - London employer: Oliver Wyman
Contact Detail:
Oliver Wyman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Head of External Data Vendor Management - London
✨Tip Number 1
Network with professionals in the consulting and data management sectors. Attend industry events or webinars where you can meet people who work at Oliver Wyman or similar firms. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest trends in data vendor management and AI technologies. Follow relevant blogs, podcasts, and publications to ensure you can speak knowledgeably about how these trends impact consulting services during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully managed vendor relationships and maximised data value in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Tip Number 4
Familiarise yourself with Oliver Wyman's culture and values. Demonstrating an understanding of their commitment to diversity, collaboration, and continuous learning can set you apart as a candidate who aligns well with their organisational goals.
We think you need these skills to ace Global Head of External Data Vendor Management - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in external data vendor management and strategic planning. Use specific examples that demonstrate your analytical skills and ability to generate actionable insights.
Craft a Compelling Cover Letter: Write a cover letter that clearly articulates your interest in the role and how your background aligns with Oliver Wyman's needs. Emphasise your experience in managing teams and fostering collaboration, as well as your familiarity with AI technologies.
Showcase Leadership Skills: In your application, provide examples of how you have led and developed teams in previous roles. Highlight any initiatives you have implemented that fostered a culture of continuous improvement and professional development.
Research the Company: Familiarise yourself with Oliver Wyman’s values, culture, and recent projects. This knowledge will help you tailor your application and demonstrate your genuine interest in joining their team.
How to prepare for a job interview at Oliver Wyman
✨Understand the Role Thoroughly
Before the interview, make sure you have a deep understanding of the responsibilities and expectations for the Global Head of External Data Vendor Management. Familiarise yourself with Oliver Wyman's consulting services and how external data vendors play a crucial role in enhancing these services.
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and how you've previously unlocked value from vendor data sources. Use specific examples to demonstrate your ability to interpret complex data and generate actionable insights that align with strategic objectives.
✨Highlight Team Leadership Experience
Since this role involves leading and mentoring a diverse team, share your experiences in team management. Discuss how you've fostered collaboration and continuous improvement within your teams, and be ready to provide examples of successful team projects.
✨Stay Current with Technology Trends
Given the emphasis on technology and AI integration, be prepared to discuss your familiarity with emerging technologies. Share any relevant experiences where you've successfully integrated AI solutions into data management or analytics, showcasing your forward-thinking approach.
