Data and Systems Manager at Techspace

Greater London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

17 Sep, 26

Salary

65000.0

Posted On

19 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Vendor Management, AI Framework Development, Business Intelligence, ETL Pipelines, Workflow Automation, Systems Integration, GDPR Compliance, Stakeholder Management, Platform Governance, KPI Tracking, Technical Documentation

Industry

Real Estate

Description

Your mission Data and Systems Manager | London | Hybrid 3 days a week in office | Salary starting from £65k + Bonus 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 Your profile Required Experience managing or governing a third-party data or revenue operations platform: comfortable as an intelligent client, not just a hands-on builder. Strong commercial instincts around vendor relationships: able to hold suppliers accountable, negotiate scope and assess when a platform is not delivering value. Good working knowledge of data infrastructure, ETL pipelines, BI tools and data quality, even if you have not built them from scratch. Demonstrable experience owning or developing an AI framework: not just using AI tools, but governing how others use them. Hands-on experience with AI tools and workflow automation, practical delivery not just familiarity. Comfortable as a generalist in a small team: moving between strategic governance and hands-on problem solving without losing pace. Able to translate technical complexity clearly for Finance, Operations and Sales colleagues. GDPR-aware, with a thoughtful approach to access controls, documentation and audit trails. Preferred Experience in a scale-up or high-growth environment (proptech, flex workspace or SaaS is a bonus). Familiarity with HubSpot, OfficeRnD, Xero, Personio or similar platforms. Experience building internal automations using no-code/low-code tools. Why us? Our Values Here are the values we care most about. Not only are they behaviours that best represent our team culture, but this also extends to new members and partners we intend to work alongside. We Are Open - we create environments that support openness and honesty. We listen to each other, challenge, support, and always assume positive intent. We Care - we care deeply about our fellow Techspacers, about serving our members and about our impact on the world. We Move At Thoughtful Pace - we have a bias for action and being decisive. We trust each other to take risks and we learn from our mistakes. We Strive to Improve - we are ambitious, stretching ourselves to innovate and always do better. We Seek Balance - we choose fun and fairness, and support each other to find our balance. Techspace is an equal opportunity employer. We welcome applications from all backgrounds. About us Techspace is the go-to place for scaling tech, freeing teams to build the future, with a network that spans the world’s leading tech hubs. Techspace is a member centric company that designs, creates & operates working environments for growing technology companies. Now more than ever the workplace is undergoing rapid change & transformation: we aim to be at the cutting edge of workplace design, providing flexible & collaborative environments that enable technology businesses to thrive. Most importantly Techspace, at its heart, is a people business: the relationships we form with our members makes our community value proposition come to life. Techspace is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, marital status or disability status.

Responsibilities

Own the strategic governance of the Koho data platform and the broader technology stack to ensure data accuracy and business value. Develop and manage the internal AI framework and automation opportunities to improve operational efficiency across the organization.