Head of External Data Vendor Management

About the role

The Head of External Data Vendor Management leads how Oliver Wyman manages and derives value from its portfolio of external data and expert vendors. The role shapes vendor strategy, governance, investment priorities and adoption so consulting teams can access and use external data, research and expertise effectively. It reports to a key member of the Knowledge Services executive team and manages a team of around 5 to 8 people across several locations.

Key responsibilities

• Develop and implement a comprehensive strategy for the firm's external data vendor portfolio, evaluate and select vendors, set governance and SLAs and build long-term relationships.
• Unlock value from vendor data sources, integrate external data into existing frameworks and promote data-management practices across the firm.
• Evaluate emerging technologies and lead initiatives using AI and vendor capabilities to help consultants discover, access and use external data and knowledge resources.
• Manage budgets for external data procurement, analyse spending patterns and vendor performance, and use metrics and KPIs to measure ROI and identify cost savings.
• Lead, coach and develop the team, set clear standards for delivery and accountability, and foster collaboration and knowledge sharing.
• Work with the Global Head of Managed Services, regional leadership and senior stakeholders, and act as a trusted advisor on vendor strategy and external data capabilities.

Required profile

• At least 8 years' progressively senior experience leading External Data, Research, Knowledge or Information Service functions, including enterprise-scale ownership of vendor portfolios and commercial outcomes.
• Demonstrated success evaluating and integrating emerging and AI-enabled capabilities and driving firm-wide adoption in a large professional services organisation.
• Experience managing and developing teams, and influencing senior stakeholders and building alignment across functions.
• Understanding of emerging AI capabilities and their practical application in data, research and knowledge-management environments.
• A plus: experience within a consulting or professional services environment, strategic thinking around vendor portfolios, and AI activation experience.

What we offer

• Base salary range of $163,000 to $221,000, depending on experience, skills, location and other factors, with possible performance-based incentives.
• Health and welfare benefits, tuition assistance, 401K and other retirement programs, and employee assistance programs.
• Hybrid work, with colleagues expected in the office at least three days per week.