Overview

Are you a Data Lead looking for an exciting brand new role where you can implement ways of working with data to streamline the customer journey and drive efficiency? London Business School are recruiting for a data literate and passionate Data Lead, Aware to Admit to join Technology on a fixed-term basis. The Aware to Admit Programme is a cross-functional initiative transforming the customer journey from initial awareness through to admission. Data plays a critical role in enabling this transformation, ensuring that business and solution goals are met through robust, well-governed, and high-quality data. This role is the LBS lead for the data workstream within the Aware to Admit programme, working closely with internal stakeholders and external consultants including Data Architects, Solution Architects, Data Analysts and Business and Data Subject Matter Experts. The Data Lead will support the definition and delivery of data requirements, models, and standards that underpin the programme's success.

Responsibilities

• Co-develop business data glossaries and definitions, support logical and physical data design, and ensure data quality and migration efforts are aligned with programme goals.
• Support the design, implementation, and testing of reporting and analytics solutions, and act as a key liaison with the Central Data team to align programme activities with LBS\'s Strategic Data Governance and Data & AI Strategy.
• Establish and document data requirements to meet business and solution goals.
• Define reporting and analytics requirements for the programme.
• Collaborate with business and technical teams to embed data quality into solution design and delivery.
• Support the definition of and oversee data testing strategies to validate completeness, accuracy, and integrity.
• Support Data Privacy and champion Privacy by Design principles throughout solution design, implementation, and testing.

Qualifications

• Proven experience in data analysis, modelling, and governance within complex programme environments.
• Strong understanding of data architecture principles and solution design.
• Experience in defining business glossaries, data definitions, and quality standards.
• Familiarity with reporting and analytics platforms and methodologies.
• Experience in data migration planning and testing.
• Excellent stakeholder engagement and communication skills.
• Ability to work collaboratively in cross-functional teams.
• Knowledge of data protection and compliance frameworks.
• Experience in similarly complex stakeholder environments is advantageous.

Benefits and Working Arrangements

• Generous annual leave of 27 days plus extra between Christmas and New Year.
• Generous pension package with 14.5% employer contribution (in return for employee enrolment and contribution).
• Free onsite gym and swimming pool.
• Amazing range of professional development to support your career path.
• Enhanced cycle to work scheme.
• Wellbeing offering to support your physical, mental and financial health.
• Up to 5 days paid emergency leave for staff with caring responsibilities.
• Smart Working with a hybrid approach; minimum two days on campus per week, core hours 10:00–15:00, with flexibility based on business needs. Protected Time is available for learning, wellbeing, or focused work.

At London Business School, we support Smart Working and are committed to inclusion and belonging within our School, education and society. CV screening and shortlisting may begin as soon as campaigns open, and a successful candidate can progress to offer before the advertised closing date. Sponsorship eligibility should be assessed prior to applying.