VP, Central Operations Enterprise Data Architect C13

VP, Central Operations Enterprise Data Architect C13

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Job Overview

The Central Operations Enterprise Data Architect role is a critical hire within the group to become part of the team that drives data strategy, architecture, and design across critical initiatives payments services, global reconciliations, reg. reporting, liquidity management, and strategic general ledger. The role requires hands-on experience in designing, executing, and managing enterprise-wide data architecture, including design of frameworks to standardize data management, consumption, and data quality controls. Successful candidate will be working cross disciplines in engineering, architecture, and technology teams across Operations, Finance, CDO, and Technology functions to simplify data pipelines, codify standards, automate controls, improve analytics and reporting with an aim to deliver value from data. The role report would report to Data Architect lead within Operations Enterprise Architecture.

Key Responsibilities

• Define and maintain cohesive front-to-back data architecture across shared operations to reduce fragmentation, support shared services, and move to a real-time, event-based consumption model
• Engage with business, Ops, Finance, and technology teams to understand business drivers, gaps, and pain points in current state
• Apply durability to engineering architecture in order to apply impacts from the CDO SMEs
• Develop key design principles and maintain design conformance in the execution of data architecture across legacy and target state applications covering data definitions, sourcing, consumption, transformation, and storage
• Define / improve logical data models, identify issues with data in transit, and codify logical, physical models in central data catalogue
• Promote use of standards, design guard rails, and foundational components to deliver target state solutions
• Collaborate to identify optimal technical solutions for data management and storage including - data warehousing, data lakes, big data, data mesh, and data fabric
• Evaluate internal / external tooling to develop and visualize data graphs, automate data lineage and tracing, and support end user data analytics
• Produce high-quality documentation and design artefacts
• Efficiently build strong working relationship with Tech and business partners and be viewed as an objective neutral party in executing the target data strategy

Experience and Qualifications