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

New York - 1166, United States

Company:

Oliver Wyman

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 management and analytics.

Key Competencies:

  • Strategic Thinking

  • Leadership and Team Management

  • Negotiation and Vendor Management

  • Problem-Solving and Analytical Skills

  • Communication and Presentation Skills

  • Adaptability and Resilience

The applicable base salary range for this role is $163,000 to $221,000.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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Job Profile

Regions

North America

Countries

United States

Restrictions

Hybrid work

Benefits/Perks

401k savings Collaborative work environment Disability Employee Assistance Programs Flexibility Flexible work Flexible work environment Health and welfare Health and welfare benefits Hybrid work Performance-based incentives Professional development Retirement programs Training Tuition Assistance

Tasks
  • Collaborate with internal teams
  • Communicate effectively
  • Data Management
  • Integrate AI technologies
  • Lead and develop team
  • Manage budgets
  • Maximize data value
  • Oversee data vendor management
  • Training
Skills

Administration Advising AI AI integration Analytical Analytics Artificial Intelligence Best Practices Business Collaboration Collaborative Communication Consulting Consulting Services Continuous Improvement Cost Optimization Data Management Data Science Information Technology Innovation Integration Interpersonal KPIs Law Leadership Management Management consulting Negotiation Organization Organizational Organizational goals Power Presentation Problem-solving Project Execution Retirement programs Risk Management Service Delivery Stakeholder engagement Strategic planning Strategic Thinking Strategy Team Leadership Team Management Teams Technology Technology Integration Training Vendor Management

Experience

10 years

Education

Advanced degree Bachelor Bachelor's degree Bachelor’s degree in data science Business Business Administration Data Science Degree Information Technology Master's degree Related Field Risk Management

Certifications

ARe

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9