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As the Data Modeling Lead for the Firmwide Master & Reference Strategy Team you will lead a team of data modelers with responsibility for model requirements, analysis, design and implementation across all of the key Master & Reference Data (M&RD) Domains. The M&RD domains describe core data concepts including Party, Account, Product, Instrument and Price. These domains provide the data foundations for all core capabilities across the firm including Front/Middle and Back Office services in Corporate, Institutional and Consumer functions.

The Data Modeling Lead will work across the organization and its functions to design and manage a common set of models spanning conceptual, logical and physical data and contribute to enterprise best practices in model driven development. The Data Modelling Lead will implement agile model driven practices within the M&RD Data Modelling Team.

Responsibilities:

• Define and execute Model Driven Development standards across 11 constituent M&RD Domains ensuring 100% alignment between modelling artefacts and in-production data.
• Mentor and guide M&RD Data Modelers with best practices in model development.
• Develop and build strong working partnerships and strategic relationships with key partners across operations and technology to align implementation with measurable business value.
• Collaborate with Data Modelers across the firm (multiple data domains and functions) to drive alignment to common standards and master data foundations.
• Collaborate with Firmwide Master & Reference Data Quality Team to enable models with adequate specification for actionable Data Quality results.
• Collaborate with Firmwide Master & Reference Data Architecture Team to define current and future state M&RD platforms and services.

Skills and Experience:

• Have previous experience in a similar role.
• Be a subject matter expert in more than one related area.
• Requires analytical and project management skills, including a thorough understanding of how to interpret customer business needs
• Demonstrates an in-depth knowledge of how the function integrates within overall technology to achieve objectives
• Demonstrated subject area expertise in one or more Master/Reference Data Domains.

Education:

• Bachelor's/University degree or equivalent experience, potentially Masters degree

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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