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Marsh McLennan

Oliver Wyman - Talent Management Coordinator - Mexico City

Marsh McLennan is hiring an Oliver Wyman - Talent Management Coordinator - Mexico City (Mexico). Level rates it ; you can apply on Marsh McLennan.

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  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level lists 647 other open roles at Marsh McLennan.
  • The role was posted in the last few days.

AI in this role

Company:

Oliver Wyman

Description:

About Oliver Wyman

Oliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

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

Job Overview:

The Talent Management Central Team (TMC) is a team within Oliver Wyman’s Human Capital (HC) department and is designed to offer program management and administrative support to Talent Managers across a number of Talent Management processes. The TMC will have global responsibilities and will work seamlessly with the global Talent Management team, as well as with Talent Managers in each of our Teams and Regions. The TMC will also be responsible for interfacing with senior group of stakeholders from across the TM and HC function. The Coordinator Role requires mastery of core coordinator responsibilities, knowledge of Staffing and Performance Management system. This role entails managing multiple demands and competing priorities in a timely manner.

Oliver Wyman is a fast-paced environment that requires fluency in English.

*PLEASE SUBMIT CVs IN ENGLISH*

* THIS IS A HYBRID ROLE THAT REQUIRES A PRESENCE IN THE OFFICE 2 DAYS PER WEEK. THERE IS NO OPTION TO BE FULLY REMOTE.*

Key Responsibilities:

Activities related to programs and processes for consultant talent and performance management processes, including, but not limited to performance management, global consultant programs, staffing system updates, reporting, developing training materials, and ad hoc Talent Management requests across Oliver Wyman.

Note that while the role will focus on the areas above, some additional support for Talent Management activities may also be required.

  • Staffing MIS

    • Update basic staffing and other system data updates

    • Generate predefined and ad hoc reports from staffing systems

    • Conduct regularly scheduled and ad hoc analyses and audits relevant to staffing

  • Performance Management

    • Action Performance Management tasks based on inbound requests

    • Provide clear and concise guidance to Talent Managers and review writers on process execution within systems

  • Global and Regional Reporting

    • Track and generate ad hoc reports related to Talent Management activities

    • Perform labor adjustments and time allotments rectification

    • Support TM Heads and Talent Managers with reporting and data needs

  • Program Management

    • Where opportunities permit, support a global Talent Management program with oversight (e.g., MBA sponsorship, NPF, Long Haul, KudOWs, etc.)

  • Other

    • Respond promptly and professionally to incoming requests

    • Collaborate with other teams as necessary to address requests

    • Build and maintain relationships with team members and key clients

Experience Required:

  • Bachelor’s degree or equivalent experience, preferably working in performance management or HR administration

Technical Skills:

  • Working knowledge of Microsoft Excel (including formulas, pivot tables, and comfort manipulating data in reports), Word, and PowerPoint

  • Basic understanding of systems and an aptitude for learning to operate new systems of medium complexity

Skills and Attributes:

  • Strong focus on client needs and ability to work with stakeholders ranging in seniority level

  • Excellent English written and verbal communication skills

  • Ability to work collaboratively in a global team in a multicultural environment with limited supervision

  • Ability to work and multi-task in a fast-paced and constantly evolving environment

  • Ability to manage and maintain highly sensitive and confidential information

  • Highly organized and detail-oriented with a problem-solving mindset

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 creating 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, or any other characteristic protected by applicable law.

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 - Talent Management Coordinator - Mexico City at Marsh McLennan rates 39 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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