Central Operations Enterprise Data Architect - SVP

Overview of Citi:

Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

Overview of the organization:

The Chief Technology Office (CTO) is responsible for defining and executing the core architecture and technology strategy across the enterprise by working in partnership with business units and functions. Ensuring strategic alignment and efficiency of solutions across a diverse portfolio of engineering and transformation efforts. The Operations Enterprise Architecture capability sits within CTO organization and is responsible for driving process transformation, risk reduction, and efficiencies through best-in-class technology solutions.

Job Purpose:

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, regulatory 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.

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 relationships 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.

Experience and Qualifications:

• 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, regulatory 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.

What we’ll provide you:

This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.

By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 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.

Alongside these benefits, Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.