Rewards Services Leader Europe

Marsh McLennan is hiring a Rewards Services Leader Europe in Dublin, Ireland. Level rates it ; you can apply on Marsh McLennan.

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On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 631 other open roles at Marsh McLennan.
The role was posted in the last few days.

AI in this role

Company:

Marsh

Description:

Rewards Solution Leader — Marsh People & Investments, Europe

Marsh People & Investments, Pan-European & UK remit · Workforce & Executive Rewards Consulting · Rewards Products (Compensation Surveys) · Technology & Technology Partnerships

1. Role Context & Market Reality

Marsh Rewards Solutions (part of Marsh People & Investments / Workforce & Rewards) sits at the intersection of strategic people advisory, data-driven rewards products and solutions, and an increasingly technology- and AI-enabled delivery model. The ideal leader must credibly sell into Rewards Leaders, Compensation & Benefits experts, CHROs, Remuneration Committees and Boards, while also being substantively fluent in the mechanics of the fundamentals of rewards: benchmarking / market pricing, pay structures, job evaluation, job architecture, short- and long-term incentive design, pay equity and fair pay, total rewards strategy etc. They should have a firm understanding of the survey, data and technology infrastructure that underpins modern rewards decision-making. This is very much a hybrid job profile - part commercial leader, part practice and product builder, part technology orchestrator.

2. Ideal Candidate Profile

Experience

20+ years in human capital / rewards consulting, with a clear trajectory from individual contributor to practice/P&L leader.

10+ years in a senior leadership role — Partner, Managing Director, Practice Lead, or Regional Head — with demonstrable P&L ownership (ideally €75M+ book).

Pan-European / Global operating model experience — has personally led cross-border teams, not just sold cross-border projects. Comfortable in at least two of: UK, DACH, France, Benelux, Nordics, Southern Europe.

Client portfolio should include FTSE 100 / DAX / CAC 40 / Euro Stoxx 50 companies, with at least some Board and CEO-level engagement history.

Domain Expertise (must have depth in at least 2 of 3)

Workforce Rewards Consulting: broad-based pay structure design, job architecture and grading/job evaluation, fair pay, pay equity and pay transparency advisory, total rewards strategy, short-/long-term incentive design for the broader workforce.

Executive Rewards Consulting: executive and Board pay governance, Remuneration Committee / Management advisory, incentive plan design and benchmarking, say-on-pay and shareholder engagement, regulatory and disclosure requirements across European and UK markets.

Rewards Transformation advisory: comp structure harmonisation post-M&A, HRIS/rewards technology implementation adjacencies, workforce planning links to reward strategy.

Leadership & Commercial Attributes

Demonstrable revenue origination: has personally sold €3M+ annually across consulting and/or product revenue in rewards.

Is flexible to travel regularly, to support markets across Europe with BD and sales.

Has built or meaningfully scaled a practice or product line.

Track record of leveraging product relationships to build advisory revenue, and of structuring technology partnerships (internal and external) that extend Mercer's offering.

Credible with CHROs, CFOs, Rewards Leaders, and Remuneration Committee Chairs; comfortable in Boardrooms.

Can integrate data/tech/AI into traditional consulting and products - Mercer is moving hard on AI-enabled rewards products and platforms.

Matrix navigator: Marsh People & Investments sits inside Marsh alongside Marsh Insurance, Marsh Re, Oliver Wyman. Candidates allergic to matrix environments will fail here.

Multilingual preferred (English non-negotiable; German, French, or Dutch as a second language is an advantage for a pan-European and UK remit)

Marsh (NYSE: MRSH) is 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 marsh.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, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at reasonableaccommodations@marsh.com to discuss any specific needs.

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

Rewards Services Leader Europe at Marsh McLennan rates 35 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.