Citi Group Sr Data Architect - Operations C15 NEW YORK 

United States, New York, New York 

892730829

Job Description:

The Shared Operations Data Architect role is a critical hire within the group to lead data strategy, architecture, and design across critical initiatives –payments services, global reconciliations, reg. reporting, cash 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 with engineering, architecture, and technology leads across Operations 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 reports directly into the Head of 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 Ops business and technology partners to understand business drivers, gaps, and pain points in current state
• Lead the design and 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
• 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
• Partner with SMEs across the CTO organization to understand emerging engineering, architecture standards and apply them across critical initiatives
• Produce high-quality documentation and design artefacts
• Efficiently build strong working relationship with Tech and Ops partners and become a thought leader in executing the target data strategy
• Recruit and build a team of data scientists and engineers

Experience and Qualifications:

• Passionate about bringing structure and driving change through data design and architecture
• 15+ years experience in financial services with 7+ years supporting data architecture, data lineage, data integration, data governance, data life cycle management, data quality, and data strategy
• 5+ years' experience leading large scale Data Architecture Projects and/or Teams in banking, financial services industry
• Hands on experience in defining and implementing logical, physical data models across front office / operations risk / finance within Markets, Banking, Trade Services or similar business areas
• Demonstrated expertise with various data architecture concepts including – data warehouse, marts, data mesh, knowledge graphs, data standards and ontologies
• Experience with data management on cloud platforms and real-time streaming data platforms such as Kafka
• Demonstrable experience with Collibra, Databricks, Snowflake, other data management tools
• Experienced in setting and leading Data Management/Governance Councils, Committees and Working Groups, and building reports for multiple levels of management
• Demonstrable experience in defining data standards, controls and driving adoption
• Experience in using AI, ML for data insights, analytics is a plus
• Experience with financial services data regulations such as GDPR, BCBS239, reg. reporting, is a plus
• Strategic thinker with creative problem solving capabilities
• Bachelor’s degree in IT, Computer Science, or engineering. Masters degree preferred
• Data Governance and/or Master Data Management certifications
• Strong hands-on experience with Agile delivery, product management, value stream methodologies
• Proven track record in producing quality project artefacts, including senior management reports within a technology or risk & controls domain
• Motivated self-starter with ability to pick up and learn new skills and knowledge quickly and navigate the organization
• Ability to build and manage strong engineering teams

Anticipated Posting Close Date:

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