Overview
Leading the creation of conceptual data models to accelerate the production of high-quality data assets for analytical purposes. Collaborating with data engineering teams to ensure the logical and physical data models align with the overarching conceptual framework. Managing and facilitating the Data Model Governance Process, governing and approving data models for use on our Snowflake analytics platform. Partnering with the Data Governance team to maintain alignment between the data models and business objectives. Consulting with and challenging business stakeholders, including data analysts, data owners, and stewards, to ensure the data model reflects the business’s best interests. Selecting, evaluating, and championing tools to support data modelling activities, ensuring the right solutions are in place for efficiency and quality. Contributing to Jet2’s commitment to delivering business value through data by refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose.
Responsibilities
- Lead the creation of conceptual data models and ensure alignment with business objectives and analytics needs.
- Collaborate with data engineering teams to align conceptual, logical, and physical data models.
- Manage and facilitate the Data Model Governance Process, including governance and approvals for Snowflake analytics usage.
- Partner with Data Governance to maintain alignment between data models and business priorities.
- Consult with data analysts, data owners, and stewards to reflect the business’s interests in the data model.
- Select, evaluate, and champion tools to support data modelling activities for efficiency and quality.
- Refine processes to deliver business value through data and improve delivery agility and quality.
- Support adoption and optimisation of tools such as Alation for data cataloguing and metadata management.
- Ensure data models are of the highest quality and fit for purpose in collaboration with stakeholders.
Qualifications
- Extensive experience in data modelling with a strong focus on conceptual, logical, and physical models.
- Deep understanding of optimising data models to improve business outcomes.
- Strong collaboration skills, with experience working alongside data engineering teams and business stakeholders.
- Solid understanding of data governance and the importance of aligning data models with business priorities.
- Experience with tools like Snowflake, Alation, or equivalent platforms, and the ability to select and implement effective data modelling tools.
- Excellent communication and leadership skills, with the ability to consult with and challenge stakeholders effectively.
Benefits
- Hybrid working (office 3 days per week).
- Manager bonus.
- Colleague discounts on Jet2holidays and Jet2.com flights.
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