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Workday

Vice President, Data Model Developer

Workday

Vice President Data Model Developer at Barclays designing, developing, and implementing data models. Collaborating with product and engineering teams across multiple financial domains.

Posted 7/24/2026full-timeNorthampton • 🇬🇧 United KingdomLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing statistical and machine learning models while ensuring data governance and quality across enterprise-grade data models. Collaborates effectively with stakeholders to align business strategies and optimize performance across cloud platforms.

Highest-signal resume keywords
Statistical And Machine Learning Model DevelopmentData Cleaning And Pre-ProcessingEnterprise-Grade Data Model GovernanceCloud Platform Optimization (AWS, Snowflake, Databricks)Stakeholder Influence And Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical ModelingMachine LearningData CleaningData Pre-ProcessingModel Performance MonitoringModel VersioningModelling Standards DefinitionMetadata Structure DesignCross-Domain ConsistencyRegulatory Compliance
Soft Skills
CollaborationAdvisingInfluencing
Tools & Technologies
AWSSnowflakeDatabricks

Tech Stack

Tools & technologies
AWSCloud

About the role

Key responsibilities & impact
  • Design, develop, implement, and maintain various statistical and machine learning models
  • Perform data cleaning and pre-processing tasks
  • Monitor model performance in real-time to identify issues
  • Advise key stakeholders on functional areas of impact and alignment
  • Collaborate with other departments for business-aligned support

Requirements

What you’ll need
  • Experience with leading the design and governance of enterprise‑grade data models
  • Defining modelling standards, metadata structures, and regulatory expectations
  • Driving modelling quality, versioning, and cross‑domain consistency at scale
  • Partnering with engineering teams to optimise performance and guide workload placement across cloud platforms (AWS, Snowflake, Databricks)
  • Influencing senior stakeholders across various teams to align on business rules and strategic priorities

Benefits

Comp & perks
  • Health insurance
  • Pension scheme
  • Professional development opportunities