Head of Data and AI

Abion

Head of Data and AI at hybrid IP firm transforming data assets into competitive advantage. Build and lead teams while directly contributing to strategy and execution.

Posted 5/11/2026full-timeLondon • 🇬🇧 United KingdomLeadWebsite

Tech Stack

Tools & technologies

AirflowAzure

About the role

Key responsibilities & impact

Define and own the data & AI strategy in close collaboration with the CTO and product leadership.
Build and lead a high-performing team of 2–4 data engineers, analysts, and ML/AI specialists.
Act as the internal authority on data and AI, shaping how Abion thinks about and uses these capabilities.
Design and deliver a scalable, well-governed data platform, including pipelines, warehousing, and data quality.
Establish data standards, documentation practices, and governance frameworks from day one.
Identify and prioritise the highest-value AI opportunities across Abion’s product portfolio and internal operations.
Lead the design and delivery of AI-powered features, working tightly with Product and Platform Engineering.

Requirements

What you’ll need

Proven experience leading data and/or AI functions in a B2B SaaS or data-intensive environment.
Strong hands-on background in data engineering, modern data stacks (e.g. dbt, Snowflake, Azure Synapse, Microsoft Fabric, Databricks, Airflow), and comfortable with BI tools such as Power BI or Looker.
Practical experience delivering LLM or Generative AI solutions in production, not just experimentation.
A track record of building and mentoring small, high-impact data teams.
Comfortable operating at both strategic and technical levels, you can write a data strategy doc and review a pipeline design in the same week.
Strong communicator who can translate complex data and AI concepts for non-technical stakeholders.

Benefits

Comp & perks

gym membership contributions
flexible working hours
professional development opportunities
team activities that bring us closer together

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringAI strategydata pipelinesdata warehousingdata qualityLLM solutionsGenerative AImodern data stacksdocumentation practicesgovernance frameworks

Soft Skills

leadershipteam buildingmentoringcommunicationstrategic thinkingtechnical proficiencystakeholder engagementproblem-solvingcollaborationtranslating complex concepts