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.
Represent data & AI interests in cross-functional planning, roadmap discussions, and executive conversations.
Design and deliver a scalable, well-governed data platform, including pipelines, warehousing, and data quality, all fit for a growing business.
Establish data standards, documentation practices, and governance frameworks from day one.
Partner with Platform Engineering to ensure data is a first-class citizen in Abion’s architecture.
Build out BI and analytics capabilities that give stakeholders clear, reliable insight into business and product performance.
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.
Own the full lifecycle from proof of concept through to production, including evaluation, monitoring, and iteration.
Ensure AI applications are robust, explainable, and aligned with Abion’s legal and compliance context.

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.

Abion

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