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Data, Insight & Reward Manager; Parental Cover

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Financial Times
Part Time, Contract position
Listed on 2026-01-29
Job specializations:
  • Management
    Talent Manager, HR Manager
Job Description & How to Apply Below
Position: People Data, Insight & Reward Manager (Parental Cover)
Location: Greater London

Overview

About Us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. You’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing.

Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT.

Our Commitment to Diversity, Equity and Inclusion We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.

Position

Details

Contract type: 1 year fixed term (May 2026 - June 2027)

Work Arrangement: Hybrid remote, 3 days a week in the London office

Reports to: Head of People Services

Team: 2 Direct Reports

Position Overview: The People Data, Insight & Reward Manager is a key role within the FT’s People team, responsible for overseeing the people analytics, reporting, and reward functions. This position leads a small team and works closely with other departments and senior partners to provide insightful data-driven recommendations, ensure the integrity of compensation structures, and drive the People systems digital transformation.

The ideal candidate will be highly numerate, have an understanding and experience using Workday, be comfortable with pay benchmarking practices, and possess excellent stakeholder management capabilities.

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