Vice President - Data Modeller

Data Modeller, VP

Join us as a Data Modeller

• Working closely with our business analysts and data management specialists, you’ll translate data requirements into structured representations of data using data modelling tools
• You’ll participate in data design review workshops, and you’ll have ownership of data design and data models across different areas
• This is an opportunity to develop your analytical skills in an engaging role while helping us to avoid data risk
• We're offering this role at vice president level

What you'll do

As a Data Modeller, you’ll be responsible for defining, maintaining, and improving data models. You’ll support data architects with solutions, and you’ll contribute to data quality investigations. You’ll also support subject matter experts and data owners in managing content.

As well as this you’ll:

• Collaborate with business analysts and data management specialists to translate data requirements
• Take ownership for data modelling and data contract creation
• Adopt the enterprise data model and standards
• Identify and mitigate potential data risks

The skills you'll need

We’re looking for a someone with strong collaboration and stakeholder management skills and experience in data modelling or data architecture. You’ll need at least twelve years of experience in data modelling. You’ll need experience in designing and maintaining canonical semantic logical and physical data models supporting analytics reporting regulatory and operational use cases. You’ll lead modelling for cloud data platforms using AWS technologies including S3 Glue Glue Data Catalog Lake Formation Athena Redshift or Snowflake DynamoDB and streaming with Kinesis or MSK using patterns such as 3NF dimensional models and Data Vault.

You’ll need experience in defining modelling standards metadata and governance embedding data quality lineage security and compliance by design. You’ll need experience in useing data modelling tools such as ER Studio ERwin PowerDesigner or similar and work with SQL PySpark and BI tools such as Power BI and Tableau. You’ll need exposure to event driven architectures using Kafka or MSK or Kinesis awareness of banking data regulations such as GDPR or UK GDPR MiFID II and conduct risk and experience in retail banking or broader financial services.

Furthermore, you’ll demonstrate:

• An understanding of data modelling methodologies including 3NF, Dimensional, Data Vault, Key-Value pair, and NoSQL Document Store
• An understanding of one or more industry models such as IFW, Teradata, IFW, or BIAN
• Knowledge of data product management, data management, metadata management, data lineage management, and data definitions

Hours

45

Job Posting Closing Date:

07/05/2026

Experience Level

Executive Level