Location
London

Hours
Not specified

Salary
Negotiable

About the Role
Knowledge is becoming a source of competitive advantage. Organisations that have organised, current and trusted knowledge, usable by both people and AI, make better decisions, move faster, and serve customers better. This role exists to do two things at once. The first is hands-on: managing an ever-growing set of working documents, Notion pages, dashboards, and content across cloud drives, SharePoint and Slack. You will write, rewrite, restructure, decommission, and own the canonical index of what the organisation actually knows. This is part librarian, part documentarian, part data steward.

The second is strategic: building a deliberate corpus of authoritative knowledge, maintaining it actively as facts change, filling gaps in critical domains such as products, regulation and markets, and ensuring every significant piece of work leaves behind reusable learning. You will own the standards, the canonical index, do the work where necessary, and coordinate a federated network of domain owners and maintainers across the Group.

This is a mid-level individual contributor role with no direct reports, reporting centrally to the VP of Operations. The reporting line is function-agnostic to enable setting standards across Data, Architecture, and AI Engineering without being captured by any of them.

Key Responsibilities:
1. Produce and roll out a written Knowledge Strategy endorsed by the executive, explicitly addressing knowledge management in an AI-enabled world.
2. Define and separate authoritative knowledge from working documents, setting a higher bar for publishing to the knowledge corpus and using LLM-based tools to enforce standards.
3. Actively maintain the knowledge corpus by setting review cycles, ownership, and freshness expectations, resolving stale or contradictory content, and managing decommissioning.
4. Identify and fill gaps in critical knowledge domains through a federated maintainer model with named experts and maintainers.
5. Establish a mandatory pattern for every significant piece of work to leave behind structured learning, making it the default output of business reviews, retrospectives, incident washups, experiments, and major decisions.
6. Collaborate with AI, Data, and Engineering teams to specify how organisational knowledge is indexed, retrieved, and served into internal AI tools, ensuring content quality and structure.
7. Author and maintain the Group's canonical knowledge index, the authoritative source for employees and internal AI tools.

ClearScore is the UK's #1 credit score and report app with a presence in South Africa, Australia, and Canada, serving over 20 million users globally. The company values a user-centric, design-led, and data-driven culture with flexible work arrangements and a strong focus on career growth and wellbeing.

Benefits:
25 paid holidays plus a “duvet day” on your birthday
Hybrid work environment
Private health and dental cover including mental health support
Life assurance scheme
Up to 6% matched pension
Regular Lunch and Learns with guest speakers
Dog-friendly office
Daily breakfast and free snacks
Access to discounts via Cobens Extras
Free sports and social clubs
Continued investment in learning and development
Leadership-led training
In-house psychotherapist and financial coach
No clock-watching culture
Generous maternity and paternity plans
Culture and inclusion representatives
Transparent pay structure and career growth plan

Experience
Proven track record of materially improving knowledge organisation, ownership, and maintenance in mid-to-large organisations through strategy, standards, and hands-on work.
Experience operating a federated model with appointed experts and maintainers across functions is desirable.
Experience in financial services, fintech, or regulated industries with documentation and records obligations is advantageous.
Exposure to organisations transitioning to AI-assisted knowledge retrieval is a plus.

About you
Strong writer and structurer, able to turn messy source material into clear, accurate, well-structured content.
Comfortable with data governance concepts applied to knowledge including ownership, custodianship, classification, access, lineage, and retention.
Aware of regulatory obligations related to knowledge management.
Practical understanding of how modern AI tools consume organisational knowledge, able to specify requirements and evaluate AI outputs.
Fluent with wikis, documentation systems, knowledge bases, document stores, and search tools.
Able to influence without formal authority, hold standards, run federated networks, and maintain a constructive approach.
Bias to action: willing to write, fix, rename, restructure, and archive as needed.
Prefer someone who brings order to complexity and is comfortable working across functions without direct reports.

Qualifications
Formal qualifications are not specified but background in library or information science, technical writing, knowledge engineering, records management, or data governance is desirable.