We are seeking a dynamic and Head of Data Engineering (Data & AI) to lead our data and artificial intelligence capabilities for our B2B regulatory technology SaaS platform. In this pivotal role, you will drive the vision and execution of our data strategy, ensuring robust data foundations to power innovative, data-driven products for the highly regulated industries we serve.

• Proven experience in engineering management, with a focus on building and scaling data teams in a SaaS or technology-driven environment.
• Hands-on expertise in modern data engineering practices, cloud data platforms, and the full data lifecycle (ingestion, processing, modelling, analytics, and ML/AI deployment).
• Strong programming skills in languages such as Python, Java, or Scala, and experience with data pipeline frameworks (e.g., Spark, Airflow, dbt) and cloud infrastructure (e.g., AWS, Azure, GCP).
• A track record of delivering innovative, data-driven products from concept to production, ideally in a regulated industry (finance, legal, compliance, etc.).
• Deep understanding of data governance, quality, security, and privacy standards.
• Excellent communication skills, with the ability to collaborate cross-functionally and translate technical concepts for non-technical stakeholders.
• Experience working with product management and subject matter experts to shape product strategy and deliver impactful solutions.
• A passion for developing talent, fostering a high-performance culture, and leading by example.

• Degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and deploying models in production environments.

• Familiarity with regulatory technology and compliance requirements.
• Experience in a fast-paced, scale-up, or start-up environment.
• Experience working with Snowflake cloud data platform.