Own and architect the stack - Take our marketing automation, CRM integration, enrichment and intent tooling and make it a designed system rather than a collection of tools. Decide what stays, what goes and what gets rebuilt, and then do the rebuilding.
Make marketing self-sufficient - Build the templates, modules, workflows and guardrails that let marketers ship campaigns and pages themselves. Design for distribution: the goal is capability spread across the team, not a queue pointing at you.
Build the measurement layer - Model attribution from first touch through to closed won, define the events and properties that make it work, and be able to explain the trade-offs in the model rather than only the tooling behind it.
Run reporting as a service - Dashboards and reporting that stand up on their own, so nobody is hand-building numbers every week, and so a commercial question can be answered without a project.
Put AI to work across marketing operations - This is central to the role, not an add-on. We want someone who reaches for automation and AI by default: agents that handle the repetitive work, enrichment and data hygiene that run themselves, content and campaign workflows that compress cycle times, and internal tooling you build yourself when nothing off the shelf fits. You will also coach the wider team to build their own, so AI fluency spreads rather than staying with you.
Own the conversion infrastructure - The forms, tracking, routing and testing that decide whether demand converts, working alongside product marketing on the website as a pipeline asset.
Partner across technology and RevOps - Work as one team with the internal technology function on platforms and integrations, and hold a clean, well-defined seam with RevOps so marketing and sales read from the same numbers.
Keep the data honest - Governance, hygiene and compliance in a regulated business, built in a way that speeds the team up rather than slowing it down.