Head of Data

Salary: £70,000 - 110,000 per year

Requirements:

• Significant experience in product, solutions or operational leadership roles within an asset manager, wealth manager, bank, asset management technology provider, data vendor, document provider or related industry supplier.
• Comprehensive understanding of the documents asset managers are required to produce and maintain, including fund factsheets, KIDs and KIIDs, prospectuses, supplements, regulatory reports, client reports and board materials.
• Strong knowledge of the internal and external data used within these documents, including product, fund, share-class, portfolio, performance, risk, charges, sustainability and regulatory data.
• Practical understanding of how data is sourced from internal systems and third parties, governed, validated, transformed and distributed across documents, reports and downstream platforms.
• Experience with the technologies used to create and manage asset management documents, including product and data masters, document-generation platforms, workflow automation, content management, reporting tools, APIs and AI-enabled solutions.
• Demonstrable ability to translate complex operational, regulatory and user requirements into scalable product capabilities and prioritised roadmaps.
• Based in the UK or Europe.

Responsibilities:

• Own and evolve our data strategy, translating our company vision and client needs into clear priorities for data operations and the continued development of FundSense iD.
• Shape FundSense iD as the governed foundational data layer underpinning workflows, automation, reporting, document solutions and AI capabilities across our platform.
• Define scalable approaches for managing fund, share class, product and reference data across clients, vendors, administrators and industry templates.
• Identify opportunities to strengthen our data capabilities through improved models, mappings, integrations, reconciliation and automation.
• Establish clear measures for data quality, timeliness, completeness, operational efficiency and client value.
• Lead the design and continued evolution of our operational data governance framework, including ownership, lineage, controls, approvals and auditability.
• Oversee data quality, validation, reconciliation and exception management processes, ensuring issues are prioritised, resolved and used to drive continuous improvement.
• Define structured data models, mapping standards, business rules and operational practices that support consistent reuse across our platform.
• Design scalable workflows and controls for data ingestion, normalisation, enrichment, maintenance and dissemination across internal and third-party systems.
• Ensure changes to data points, mappings and templates are assessed, governed, tested and communicated effectively.
• Use root-cause analysis and operational insight to reduce manual work, prevent recurring errors and strengthen service performance as we grow.
• Build, lead and develop a high-performing data function as we grow.
• Mentor analysts and data specialists, establishing high standards for quality, accountability, analytical judgement, documentation and communication.
• Contribute to hiring, onboarding, knowledge management, performance development and the design of effective team practices.
• Create clear ownership and escalation paths across day-to-day data operations and strategic data initiatives.
• Act as the senior data subject matter expert across our business, supporting colleagues with complex operational and industry questions.
• Build and maintain strong relationships with data vendors, distributors, administrators, platforms and other strategic external partners.
• Collaborate with external stakeholders to improve data acquisition, integration, mapping, reconciliation and issue-resolution processes.
• Lead client and partner discussions relating to data quality, operational workflows, governance, controls and service performance.
• Monitor relevant industry standards and template developments, translating changes into practical priorities for us and our clients.
• Help identify opportunities to strengthen our wider data ecosystem, partnerships and commercial offering.
• Work closely with product, document solutions, engineering, delivery, commercial and leadership teams on strategic initiatives and operational priorities.
• Translate data requirements into clear technical and operational outcomes, ensuring solutions work across workflows, documents, reports and integrated systems.
• Contribute confidently to internal and external meetings, representing data governance, quality and operational considerations.
• Help bridge operational, technical, regulatory and commercial perspectives across the business, resolving competing priorities constructively.
• Partner with product and engineering teams to turn proven operational improvements into reusable, maintainable platform capabilities.

Technologies:

• AI
• Support

More:

FundSense is a specialist platform focused on automating asset management operations through governed, golden-source product data and a controlled operational architecture. Our FundSense iD data foundation manages thousands of structured product data points across the investment lifecycle, aligning them with industry standards and regulatory templates such as EMT, EPT, EET and openfunds. Operating on this robust data layer, we automate workflows, validations and document creation for product data management, regulatory disclosures, distributor templates and lifecycle events. By shifting control upstream into data governance and operational design, our clients reduce reconciliation efforts, shorten reporting cycles and gain full audit traceability. The result is a more resilient operating model where automation supports scale, regulatory change and product innovation. The role is based in the UK or Europe, and the salary is competitive and commensurate with experience.

last updated 39 week of 2026