Responsibilities
- Own the codebase, APIs, and automations behind customer data flows across websites, registrations, leads, pipeline, and reporting. Simplify, scale, and introduce AI to existing processes; build a clear roadmap to eliminate technical debt and business cases for investment or cross-departmental collaboration.
- Own the global QIMA website and 20+ acquired customer-facing websites, and the cross-functional alignment that drives commercial value across all sites. Manage PII and GDPR compliance across all relevant systems.
- Design and improve the architecture that ingests data from web, CMS, email, social, search, and advertising sources and makes it understandable and usable in CRM and customer-facing systems.
- Build the playbook, tooling, and governance to integrate acquired websites, CRMs, marketing stacks, and customer databases into QIMA’s platforms quickly and safely. Commercial continuity must be preserved without cost acceleration.
- Embed AI into how the team designs, builds, tests, and operates. Partner with the QIMA AI Squad to identify where AI agents can replace repetitive, rules-based work across the revenue pipeline, freeing engineering capacity for higher-value architecture and integration.
- QIMA's data and documentation quality directly determines the quality of every AI system built on top of it. Own the standards, monitoring, and remediation that keep customer data, pipeline data, and cross-platform connections fit for purpose.
- Establish the standards, tools, and cadence to capture how systems work, how processes run, and why decisions were made. Treat documentation as a product which drives AI effectiveness; treat undocumented knowledge as a risk.
- Lead an AI-fluent team of engineers, supported by contractors and agencies where specialist depth is needed short-term. Coach the team to work effectively alongside AI tooling and agents, raise the bar on what each individual delivers, and protect weekly time for every team member to develop genuine AI proficiency — including yourself. Run agile delivery with full transparency on pipeline and timelines.
