Central Operations Enterprise Data Architect, Citi

Citi

Location:
United Kingdom, London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Central Operations Enterprise Data Architect role is a critical hire in 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.

Job Responsibility:

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
Recruit and build a team of data analysts and data architects

Requirements:

Passionate about bringing structure and driving change through data design and architecture
Highly experienced in financial services with experience supporting data architecture, data lineage, data integration, data governance, data life cycle management, data quality, and data strategy
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

Nice to have:

Experience in using AI, ML for data insights, analytics
Experience with financial services data regulations such as GDPR, BCBS239, reg. reporting

What we offer:

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends

Additional Information:

Job Posted:
June 05, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Central Operations Enterprise Data Architect