Data Migration Project Manager

Levels is building an AI-enabled roll up of property service companies. Backed by leading VCs, we acquire excellent owner operated businesses and turn them into a modern, technology enabled group.

Our model rests on two pillars: disciplined M&A and exceptional integration. Integration is how we deliver the value the investment case depends on, and getting each acquired business's data into our systems cleanly is the critical path through every integration.

This is the single, dedicated owner of data migration across our acquisitions - the role our integrations to date have been missing. Today this work is spread thinly across several people, each handling a slice alongside their day job, and it slows everything down. We're hiring one person to own it end to end.

You'll run each migration as a disciplined project - kick off, data discovery, mapping, sandbox review, go live - on a tight timeline (our migration partner works to a roughly 60 day standard), keeping the gap between data cut off and go live as small as possible. But this is not a pure coordination role. Around 80% of a migration can be automated; the remaining 20% is hands on, unglamorous data work, and you'll be the person doing it: profiling messy source data, chasing down the spreadsheets and shadow systems that always surface, making the field mapping calls, and validating records line by line.

You'll be the single point of contact between the acquired business, our external migration platform partner, and our internal product, finance and operations teams. You don't need to be a software engineer - but you do need to be technical enough to lead a data conversation and make sound mapping decisions. As an early hire in this area, you'll own how the migration engine gets built for the whole group.

1. Own data migrations end to end

   Run each acquired business's migration from kick off to go live against a clear plan and timeline. Set up access, establish the extraction and transformation pipeline with our partner, drive the critical data mapping decisions, load the sandbox for stakeholder review, and manage a clean cut over with minimal downtime.

2. Be the single point of contact

   Coordinate the acquired business's staff, our migration platform partner, and our internal finance, operations and product teams. End the current pattern where migration is split across many part time owners and no one holds the whole picture.

3. Build and own the data requirements playbook

   Move us from collecting data piecemeal as features ship to defining comprehensive requirements upfront. Map future data needs before extraction, locate the source for each, and flag what has to be created from scratch.

4. Capture knowledge before it leaves

   Get the data and the context out of key people while they're still in the business. Migration risk rises sharply once knowledgeable staff move on after completion.

5. Make every migration cleaner than the last

   Refine templates, mapping standards, timelines and checklists based on what actually happens on the ground. Drive towards one consistent, repeatable migration approach across our acquired businesses and the wider pipeline, reducing rework and ongoing data refresh costs as we scale.

You're a genuine project manager who also rolls up their sleeves. You can run a timeline, set milestones, manage a third party partner and keep multiple stakeholders aligned - and you're equally willing to do the manual validation yourself rather than hand it off.

• Technical enough to lead data conversations - comfortable with data structures, field mapping, transformation logic, spreadsheets and source systems - without needing to be a software engineer. Profiles that fit well include data analyst, technical/data focused project or product manager, systems or implementation specialist, and data migration/conversion specialist.
• Organised across parallel workstreams without dropping detail. You're structured, analytical and methodical; at scale, you should be able to run two to three migrations concurrently.
• Strong with people at every level, from branch staff doing the day to day to founders. You build trust quickly inside a business you've only just walked into, and you get its people to tell you what's really going on with their data.
• Comfortable with the unglamorous work. The 20% that can't be automated is where this role earns its keep.
• Resilient and happy on the road during the intensive kick off and mapping phases of each integration.
• Sector and model experience is a plus: property, block management, financial services or other data heavy services; experience inside an acquisitive / roll up operating model is highly valued; experience with data migration tooling or alongside a migration platform partner is a strong plus.

• A pivotal role building the data migration engine of one of the UK's most ambitious AI enabled roll ups.
• High autonomy, real ownership, and direct exposure to the founders, Product leadership and functional leaders.
• £50-70k basic
• Extensive UK travel with all expenses covered, London base.
• A team and a company where doing the work is what gets rewarded.

Levels is an equal opportunity employer. We welcome applications from all qualified candidates regardless of background, and we're committed to building a diverse and inclusive team.