What's in it for you
* €100–105k + bonus/benefits
* Hybrid – Dublin (1 day per week in office)
A leadership role where you're judged on people and outcomes, not lines of code
If you enjoy building strong teams, setting clear expectations, and seeing work land properly, this role is for you.
This isn't a
"player-coach"
job in disguise.
You won't be buried in notebooks or models.
Your value here comes from:
* How well your team performs
* How clearly goals are set
* How confidently data science operates inside a regulated, real-world product environment
If you've led teams in scale-ups or regulated industries and want a role that genuinely develops you as a people leader, this is worth a look.
Why this role is different
* You're trusted to
run the function
, not micromanaged
* You'll set
KPIs that actually matter
, not vanity metrics
* You'll work on applied AI and
NLM / LLM initiatives
without owning the day-to-day build
* You'll gain deep experience operating data teams alongside
Legal and Compliance
— a skillset that opens doors later
* This role prepares you for
Head of Data / Director-level leadership
, not another IC detour
What you'll actually be doing
* Managing and developing a team of data scientists
* Setting clear goals, delivery milestones, and performance standards
* Running regular 1:1s, feedback, and development conversations
* Making sure the right work gets done — on time and to a high standard
* Partnering with Product and Engineering to prioritise work sensibly
* Working with
Legal and Compliance
to ensure data is used correctly
* Overseeing applied AI and
NLM / LLM work
from a delivery and risk point of view
* Spotting problems early and fixing them before they become blockers
What they're looking for
* You've managed data science or analytics teams before
* You're comfortable setting KPIs and holding people accountable
* You've worked in
regulated environments
(healthcare, insurance, fintech, life sciences, etc.)
* You've dealt with
legal or compliance teams
around data usage
* You understand how modern AI (including
NLM / LLM systems
) fits into products
* You've worked in a
scale-up or fast-moving environment
* You communicate clearly and don't hide behind buzzwords
You don't need to
* Write production code every day
* Be the smartest technical person in the room
You do need to
* Know what good looks like
* Help people get there
* Keep standards high when things get busy
Why people take this job
* Clear progression into senior data leadership
* Real ownership over people and performance
* Exposure to applied AI in a regulated setting (rare and valuable)
* Hybrid working with grown-up expectations
* A company that values outcomes over theatre
Not for everyone. But if it's for you, you'll know and we should talk, so hit apply or pop me an email