Lead Funds Data Architect

Overview

As Lead Funds Data Architect, you will define and drive the data strategy for Citi’s Funds domain, aligning with enterprise data initiatives and regulatory requirements. You will shape data models, governance, and technical architectures to support Fund accounting, Administration, ETFs, IBOR/ABOR, and regulatory reporting. You will collaborate with cross-functional teams to deliver scalable, compliant data solutions and enable accurate reporting and analytics. This role offers a chance to impact investment data capabilities at scale and contribute to a data-driven, regulated environment.

Pay / Benefits

• generous holiday allowance starting at 27 days
• discretionary annual performance-related bonus
• private medical insurance packages
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave

Responsibilities

• Define the Funds data strategy and architectural vision aligned with regulatory requirements.
• Design efficient data models and data flows for Fund accounting, Administration, ETFs, IBOR, and ABOR.
• Architect scalable, secure data solutions including data warehouses, data lakes, and integration patterns.
• Lead data governance, quality, lineage, and metadata management across Funds data.
• Develop conceptual, logical, and physical data models emphasizing reusability and extensibility.
• Translate stakeholder requirements into technical specifications and support implementation.
• Collaborate with development teams to provide architectural oversight and resolve data issues.
• Design data structures and access patterns for regulatory filings and client statements.
• Evaluate and recommend new data technologies and methodologies for Funds data.

Key requirements

• 12+ years in data analysis/architecture/warehousing.
• 5+ years in financial services with Funds domain expertise.
• Proven experience with Fund accounting, Administration, ETFs, IBOR, ABOR, and financial reporting.
• Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks).
• Experience with ETL/ELT, APIs; familiarity with cloud platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) is a plus.
• Deep understanding of Funds lifecycle, market data, and regulatory reporting (SEC, FCA, UCITS).
• Expertise in Data Governance, Data Lineage, and Data Modeling; Master/Reference/Metadata concepts.
• Strong analytical, problem-solving, and communication skills; leadership and stakeholder engagement.

• outstanding analytical abilities
• strong communication
• leadership and mentoring
• data modeling (ER/Studio, Erwin)
• SQL and database systems (SQL Server, Oracle, Snowflake, Databricks)
• ETL/ELT and APIs

…