Oliver Wyman - Global Head of External Data Management - New York

Company:

Description:

Oliver Wyman is a global leader in management consulting. With offices in 60 cities across 29 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 5,000 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. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC].

For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman.

Job Overview:
The Global Head of External Data Management at Oliver Wyman will play a critical leadership role in overseeing and optimizing the firm’s extensive portfolio of data and expert vendors. This position is responsible for strategically maximizing the value derived from these vendors and their data sources, which range from specialized service providers to large conglomerates. The ideal candidate will possess a strong understanding of data management, cost optimization, and the integration of advanced technologies, including artificial intelligence (AI), to unlock new opportunities for value creation.

Key Responsibilities:

Strategic Vendor Management:

• Develop and implement a comprehensive strategy for managing Oliver Wyman’s portfolio of external data vendors.

• Evaluate and select vendors based on their ability to meet the firm’s diverse consulting needs across various industries.

• Foster strong relationships with vendors to ensure alignment with Oliver Wyman’s strategic objectives and to leverage their capabilities effectively.

Data Utilization and Value Maximization:

• Identify and unlock the value of data sources provided by vendors to enhance consulting services and deliver insights to clients.

• Collaborate with internal teams to integrate vendor data into existing frameworks and methodologies, ensuring optimal use of resources.

• Promote best practices in data usage and management across the organization.

Technology and AI Integration:

• Stay abreast of emerging technologies and AI advancements that can enhance data capabilities and service offerings.

• Lead initiatives to integrate AI solutions provided by vendors, ensuring that the firm remains at the forefront of innovation.

• Assess the technological value of vendor offerings and recommend enhancements or changes as necessary.

Cost Management and Optimization:

• Develop and manage budgets related to external data procurement, ensuring cost-effectiveness and value for money.

• Analyze spending patterns and vendor performance to identify opportunities for cost savings and improved service delivery.

• Implement metrics and KPIs to evaluate vendor performance and return on investment.

Team Leadership and Development:

• Lead, mentor, and develop a team of 5 to 8 professionals, fostering a culture of collaboration and continuous improvement. Role model Oliver Wyman values.

• Provide guidance and support to team members in their professional development and project execution.

• Encourage knowledge sharing and skills development within the team to enhance overall performance.

Collaboration and Stakeholder Engagement:

• Interface closely with the Global Head of Managed Services and regional leadership to align data management strategies with broader organizational goals.

• Communicate effectively with stakeholders at all levels, ensuring transparency and alignment on data management initiatives.

• Represent Oliver Wyman in external forums and industry events to promote the firm’s data management capabilities.

Qualifications & Skills:

• Bachelor’s degree in Data Science, Business Administration, Information Technology, or a related field; an advanced degree is preferred.

• Proven experience in data management, vendor management, and strategic planning, preferably within a consulting or professional services environment.

• Strong analytical skills with the ability to interpret complex data and generate actionable insights.

• 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.

• Familiarity with AI technologies and their application in data manageme