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Marsh McLennan

Oliver Wyman - Data & Analytics Recruiter

Marsh McLennan is hiring an Oliver Wyman - Data & Analytics Recruiter in Raleigh, United States. Level rates it ; you can apply on Marsh McLennan.

Level's read on this job

  • Little AI ●○○○ is how Level rates this HR role: aI is not part of the work.
  • Level classifies it as a mid-level role.
  • Level lists 659 other open roles at Marsh McLennan.
  • The role was posted in the last few days.

AI in this role

Company:

Oliver Wyman

Description:

Who we are

At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

As a business of Marsh, we work alongside the world’s leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue over $24 billion and more than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective.

For more information, visit oliverwyman.com, or follow us on LinkedIn and X.

Role purpose

Oliver Wyman is seeking an experienced Recruiter to support the continued growth of its Data & Analytics (DNA) Practice across the Americas. The role is responsible for full-cycle experienced-hire and campus recruiting across technical and consulting positions, with a primary focus on Data Scientists, Data Engineers, AI/ML specialists, Analytics Consultants, Software Engineers, and Digital Talent. Working closely with Practice leadership, hiring managers, and Human Capital colleagues, the Recruiter will support specialized hiring needs through targeted sourcing, university engagement, talent pipeline development, and candidate management.

Why join us

  • Impact: Shape hiring for high-growth practices by attracting both experienced professionals and emerging talent, directly influencing firm performance.
  • Growth: Expand recruiting expertise across experienced-hire and campus recruitment through market intelligence, employer brand advocacy, and contributions to broader talent strategy.
  • Partnership: Work closely with Human Capital and Practice leaders on strategic talent needs.

How this role will contribute to team success

  • Support the continued growth of the Data & Analytics Practice across the Americas by recruiting experienced technical and consulting professionals, as well as early-career talent through campus recruitment initiatives.
  • Provide Practice leadership and hiring managers with market intelligence, compensation insights, and recruiting recommendations to inform hiring decisions.
  • Develop proactive sourcing strategies and talent pipelines across experienced-hire and campus recruiting channels to address current and future specialized hiring needs.

Your day-to-day

  • Full-cycle recruiting: Lead recruiting for experienced hires and support campus recruitment within the Data & Analytics Practice, including sourcing, screening, interview coordination, candidate assessment, offer management, and candidate closing.
  • Campus recruitment and university engagement: Support campus recruiting initiatives, including university engagement, candidate outreach, recruiting events, and interview processes. Collaborate with the broader recruiting team to attract and engage early-career technical and analytical talent.
  • Market insights and recruiting priorities: Share external market trends, competitor intelligence, and talent insights to inform recruiting strategy for the DNA Practice.
  • Candidate experience and recruiting operations: Deliver a positive candidate experience across campus and experienced-hire recruitment while communicating Oliver Wyman's value proposition. Maintain accurate recruiting activity and reporting in Workday and other recruiting systems, and collaborate with Human Capital, Talent Management, and Recruiting Operations to support hiring, onboarding, and integration.
  • Stakeholder partnership and advisory: Partner with Practice leadership to understand evolving business needs, workforce planning, and technical skill requirements. Advise hiring managers throughout the recruiting process using market intelligence, compensation insights, and recommendations.
  • Technical sourcing and talent pipelines: Develop sourcing strategies for Data Scientists, Data Engineers, AI/ML professionals, analytics specialists, and digital consultants. Conduct market mapping and build proactive talent pipelines using LinkedIn Recruiter, referrals, professional networks, conferences, and other sourcing channels.
  • This is a hybrid role that requires a presence in the office 3 days per week. There is no option to be fully remote.

Skills and what you bring to the team

  • Recruiting experience: 3–5+ years of full-cycle recruiting experience in corporate, agency, or executive search environments, including experience recruiting or strong familiarity with Data Scientists, Data Engineers, Machine Learning Engineers, Analytics Professionals, Software Engineers, or other highly technical talent. Experience supporting both experienced-hire and campus recruitment is highly valued.
  • Professional capabilities: Strong communication, judgment, organization, stakeholder management, confidentiality, and service orientation. Ability to manage competing priorities accurately, work independently and collaboratively in a multicultural environment, incorporate constructive feedback, and demonstrate flexibility, initiative, and a results-driven approach.
  • Recruiting technology: Fluency with applicant tracking systems such as Workday, LinkedIn Recruiter, and Microsoft Office applications, including Word, Excel, and PowerPoint.
  • Sourcing expertise: Experience developing proactive sourcing strategies, engaging passive candidates, and building talent pipelines. Familiarity with university recruiting programs, early-career talent initiatives, and campus recruiting activities is a plus.
  • Stakeholder partnership: Proven ability to partner with senior business leaders on workforce planning and difficult-to-fill technical searches, with experience negotiating offers for experienced technical professionals.

What will make you stand out

  • Experience recruiting within consulting, professional services, technology, or high-growth digital organizations.




Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.

Marsh is committed to providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to 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 require an accommodation during the application or interview process, please let us know by contacting reasonableaccommodations@marsh.com

Marsh 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 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.

How we rate this

Oliver Wyman - Data & Analytics Recruiter at Marsh McLennan rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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