Marketing Optimization Manager

Role Details:

• 4 days per week
• Hybrid with 2 days in London Waterloo

About BigHand

BigHand offers technology solutions for busy legal professionals that provide data and insights to increase value and profits. Through our expert knowledge and innovative technology, we enable our customers to achieve enhanced efficiency, better decision-making, and harness their competitive edge.

We build with tomorrow in mind, transforming ideas into action and empowering our customers to succeed in a world of constant change. We make big happen for our customers.

We are a business driven by our values and have these at the centre of everything we do. Our BigHanders are dedicated to building a culture where We Win Together, We Love to Learn, We Do the Right Thing, We Own It, and We Find the Fun.

About the Role

This role exists to close the gap between marketing data and marketing action. AI tools now generate real-time performance dashboards and first draft narrative summaries, taking over the manual data pulling and storytelling that used to define this kind of role. What AI cannot do is decide what a team should do differently, make that happen, and make sure it sticks.

The Marketing Optimization Manager owns that last mile, and is the link between the technology BigHand's marketing team relies on and the action that technology should drive. You will use AI-driven analytics tools to surface performance signals across email, digital, ABM, social, and content, then apply judgement to validate them, work with Demand Generation, Product Marketing, Digital Marketing, and Content to agree specific actions, and hold the process accountable until those actions are actually embedded in how campaigns run.

You will also take charge of the AI analytics platforms and tools that power this work: making sure they are configured, maintained, and used properly, and that what they surface can be trusted as accurate. You will partner closely with the Head of Marketing Growth to keep our measurement of the buyer journey sharp, and with campaign owners to keep optimization a habit rather than a monthly report.

What You'll Do

• Own the optimization cadence: run a recurring review with each campaign owner (Demand Generation, Product Marketing, Content, ABM, Social) that turns AI-surfaced performance signals into specific, agreed actions, and track whether those actions actually happen.
• Curate and validate AI-generated insight: use AI dashboarding and analytics tools to do the heavy lifting of trend detection, but apply judgement to catch false signals, add context AI misses, and turn raw output into a concrete recommendation.
• Hold teams accountable for follow-through: maintain a visible signal to action log and report to the Head of Marketing Growth on what was flagged, what was actioned, and what impact it had.
• Make real-time reallocation calls within an agreed test and learn budget, pivoting underperforming spend or creative while campaigns are still live, rather than only recommending changes after a campaign has ended.
• Design and run the experimentation program end-to-end, from hypothesis and test design through result interpretation, and codify what is learned into playbooks that get reused across teams.
• Partner with the Head of Marketing Growth to evolve how we measure impact across the buyer journey, connecting activity to pipeline and revenue outcomes.
• Own and manage the marketing analytics and AI tooling stack in full: select, configure, and continuously improve the dashboards, attribution, and predictive tools that do the data crunching, and take direct, ongoing responsibility for making sure they are used properly and that the information they surface is accurate.
• Build and maintain lightweight playbooks and standard operating procedures so that proven optimizations become standard practice rather than being relearned every campaign cycle.