Rethinking RevOps Hiring: Full-Stack Commercial Builder vs. Specialists in the Age of AI

Hi, I lead RevOps at a Series B London-based health-tech company (>£10m ARR, ~50-person commercial team). I have 2 vacancies on my team, previously held by a RevOps Manager and a commercial data engineer, and rather than back-filling like-for-like I want to think properly about what the team should look like now. AI has changed so much of what previously required a specialist. A lot of execution work that used to need dedicated headcount (report building, workflow config, basic pipeline work, data pulls) feels increasingly doable with the right person and the right tools. Which makes me think the scarce thing isn't a specific skill set, it's someone with the judgement, agency, and curiosity to own a problem end to end without constant handoffs. So I'm exploring whether the right hire is more of a full-stack commercial builder than two specialists. Someone who can take an ambiguous problem, design the solution, build it, and do enough of the data engineering layer (pipelines, basic modelling, HubSpot/Snowflake/billing integrations) to not be constantly blocked. Does this person actually exist or am I describing a unicorn? Where does the full-stack model break? And at what stage does it stop working and you need dedicated data engineering alongside it? Would love to hear from other Ops leaders who've navigated this!