Head of Data

1 month ago

Manchester, United Kingdom FORT Full time

The Opportunity


Our client, an innovative and fast-growing SaaS company, is seeking a dynamic Head of Data and AI to spearhead their data strategy, analytics, and AI initiatives. This pivotal role involves driving data-driven decision-making, leading the technical delivery of AI models (with a particular focus on Large Language Models), and collaborating closely with product and engineering teams to embed data solutions into the heart of the business. This is an unparalleled opportunity for someone who thrives in a leadership role and has extensive expertise in Azure and data engineering within SaaS environments.


The What?


As the Head of Data and AI , you will:

  • Define and execute the overarching data and AI strategy aligned with business goals.
  • Oversee data operations, partnering with product teams to derive insights that enhance product development and customer experiences.
  • Lead and develop a high-performing data team, including Data Engineers and Data Analysts, ensuring alignment with best practices in data management.
  • Innovate and deploy cutting-edge AI models, emphasizing LLMs and NLP, integrating these technologies seamlessly into SaaS products.
  • Manage the design and maintenance of secure, scalable data architectures leveraging Azure Data Factory, Azure Synapse, Azure Data Lake, and other tools.
  • Work collaboratively with engineering teams to guide the integration of data and AI solutions throughout the Software Development Life Cycle (SDLC) while championing CI/CD for continuous enhancement.
  • Foster strong stakeholder relationships, translating complex technical details into clear business insights for non-technical audiences.
  • Ensure data governance and compliance with industry standards and regulations.


Tech Environment

  • Cloud : Azure-focused data ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure SQL Database, Azure Machine Learning).
  • AI/ML : Strong focus on LLMs, NLP applications, and machine learning frameworks such as PyTorch and TensorFlow.
  • Development : CI/CD pipeline management, integration into full SDLC.
  • Tools : Power BI for visualization and reporting, along with other data analytics tools.


Hybrid Working

  • Flexible work arrangements with a minimum office requirement of once a month.


The Why? (Top 3 Reasons)

  1. Join a high-growth SaaS company at the forefront of leveraging AI and data to drive innovation and customer satisfaction.
  2. Lead and shape critical data strategies while contributing to an impactful transformation and driving greenfield projects.
  3. Be an integral part of a collaborative culture that values technical excellence and proactive development in the evolving data landscape.

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