We are looking for a Data and Systems Manager to own how Techspace uses data and technology. This is a broad, commercially minded role: strategic platform governance combined with oversight of our systems, infrastructure and AI tooling.
In 2026, Techspace adopted Koho as our governed data layer. This role owns that relationship: managing SLAs, guiding platform evolution, and ensuring maximum business value.
Beyond Koho, you will own our AI framework, governing how the business adopts AI tools, finding opportunities to automate and improve, and building capability across the team. You will also oversee our broader systems stack, systems integration and the infrastructure that sits with Techspace directly. You report into the Finance Director and work closely with Operations, Finance and the Commercial team.
A core part of the role is ensuring the digital experience of interacting with Techspace is excellent - for our team and for our members.
RESPONSIBILITIES
Data platform and Koho governance
Act as Techspace's intelligent client for Koho: own the commercial relationship, hold the platform to agreed SLAs and shape the product roadmap to meet business needs.
Oversee data accuracy, pipeline health and reporting quality; escalate and resolve issues quickly when data integrity is at risk.
Define and track KPIs for platform performance, including data freshness, dashboard adoption and accuracy rates across connected sources (OfficeRnD, HubSpot, Xero, Personio, Brivo).
Translate reporting requirements from Finance, Sales and Operations into platform configuration and roadmap priorities.
Manage the Koho commercial relationship: licence renewals, scope changes and break options if needed.
Business intelligence and reporting
Own the quality and accessibility of business intelligence across the organisation: reliable, self-serve data for leadership and teams.
Partner with Finance, Sales and Operations to turn reporting requirements into durable dashboards and automated outputs, reducing reliance on manual exports.
Define and govern data standards, naming conventions and access controls in partnership with Koho and across connected systems.
Drive adoption of reporting tools and build team confidence in the data.
AI framework and automation
Own and evolve Techspace's internal AI framework: the standards, approved tooling and governance for how the business uses AI.
Find and deliver AI and automation opportunities that save time, reduce errors or create new capabilities, including Koho's AI agents and internal tooling.
Build AI capability across the business through internal training and practical adoption.
Maintain and evolve Techspace's AI acceptable use policy in partnership with the Finance Director.
Evaluate and pilot new AI tools within Techspace's approved platform framework, with a clear process for assessment and sign off.
Systems and tooling
Own the broader technology stack beyond Koho: Hubspot, Google Cloud Platform, Airwallex, OfficeRnD configuration and integrations between platforms.
Oversee the Systems /Technology budget and manage access to the various systems by our internal team. This role will also manage vendor relationships and renewals; assess new tools on integration fit and value to drive efficiencies.
Own the digital experience layer for both the team and Techspace members: the platforms people use to interact with us from member portals and booking systems to internal reporting tools should be seamless, well configured and consistent. Work with Operations to surface and resolve friction points quickly.
Keep integrations between systems robust, auditable and well-documented.
Act as internal owner for key platforms: first point of contact for access, configuration and change requests.
Ensure data handling and system access comply with GDPR and Techspace's internal policies.
Maintain clear documentation of systems, integrations and data flows: knowledge should never sit in a single person or vendor.
KEY PERFORMANCE INDICATORS
Koho platform health: data freshness, accuracy and pipeline uptime meeting agreed SLAs
Dashboard adoption: percentage of teams using self-serve reporting rather than requesting manual exports
AI framework: policy in place, tooling approved and measurable adoption across the team
AI/automation initiatives: number of workflows delivered and time saved
Vendor spend: technology stack managed within budget; renewals completed on time