Investor Services Technology - Data Solutions Senior Vice President

Citi • Jersey City, NJ

9d • $176,720 - $265,080

About The Position

Citi's Investor Services Technology group is seeking a technically exceptional, domain-savvy Data Architect to serve as the data architecture authority across the Investor Services program, spanning Custody, Fund Administration, and Securities Finance. This is a hands-on role: the successful candidate will write, review, and validate architecture artifacts, data models, canonical schemas, and technical standards while working directly with delivery teams, business analysts, data engineers, and technology leads.

The role also leads the design and delivery of shared data architecture utilities, reusable tooling, accelerators, and automation to speed consistent, standards-compliant data integrations across Investor Services platforms. Deep Custody and/or Fund Services domain knowledge is a prerequisite.

Requirements

• 10–12+ years in technology, including at least 6 years in a data architecture, data engineering, or enterprise architecture role within financial services.
• Demonstrable experience as a hands-on data architect, directly authoring data models, schemas, and technical standards.
• Experience defining data architectures for large-scale, multi-platform programs in a regulated financial institution.
• Experience working in complex, multi-stakeholder environments requiring negotiation and consensus-building on data definitions and contracts.
• Experience delivering shared architectural tooling or utilities that improved delivery velocity at program scale.
• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical discipline; the posting also lists a bachelor's degree or equivalent experience.
• Expert proficiency in conceptual, logical, and physical data modelling; ERD design; and dimensional and normalized models.
• Deep expertise in canonical data format design, including JSON Schema and Avro, schema versioning, backward/forward compatibility, and evolution strategies.
• Strong command of API design and data contract patterns, including OpenAPI, AsyncAPI, and consumer-driven contract testing such as Pact.
• Hands-on experience with data lineage and cataloguing tools such as Apache Atlas, Collibra, Alation, DataHub, or equivalent.
• Proficiency in event-driven architecture and messaging platforms, including Apache Kafka and its schema registry and Avro serialization, and Solace.
• Working knowledge of cloud data platforms such as Databricks, Snowflake, AWS Glue and Lake Formation, Azure Data Factory and Synapse, or GCP.
• Ability to read and write production-quality Python or Java to build and contribute to data architecture utilities.
• Familiarity with data quality frameworks, master data management (MDM), and metadata management best practices.
• Deep understanding of Custody asset servicing data, including securities master, settlement instructions, positions, corporate actions, income events, and reconciliation data structures.
• Working knowledge of Fund Services accounting data models, including NAV components, expense structures, investor registers, transaction data, and fund reporting requirements.
• Familiarity with SWIFT (MT/MX and ISO 20022), FIX, FpML, and their data model implications.
• Understanding of securities reference data, including instrument master, issuer data, pricing, and global-scale data management challenges.
• Knowledge of post-trade settlement data flows, including DVP/FOP settlement, fail management, and data hand-offs between custody and counterparty systems.
• Awareness of regulatory data requirements, including SFTR reporting fields, FATCA/CRS requirements, and audit trail obligations in custody and fund services.

Responsibilities

• Define, document, and own Investor Services data publication architecture principles, including data modelling standards, naming conventions, versioning strategies, API data contracts, and data quality rules.
• Work with delivery leads across 50+ Investor Services platforms to define, document, and enforce standardized patterns for data generation, transformation, and consumption across batch, near-real-time, and event-driven flows.
• Lead and contribute to canonical data models, enterprise data dictionaries, and business glossaries for Custody and Fund Services, collaborating with business SMEs, operations leads, and delivery architects to agree on definitions.
• Design and publish canonical message formats, including JSON schemas and Avro, reference data samples, and integration contracts.
• Design and build shared data architecture utilities, including schema validators, data contract testing frameworks, data lineage trackers, canonical mapping accelerators, and code generators.
• Bridge business stakeholders and engineering teams on data architecture decisions by facilitating working sessions, reviewing data model proposals, resolving conflicts, and driving sign-off on data contracts.
• Establish data governance frameworks for data ownership, stewardship, classification, and lineage across Investor Services platforms, supporting regulatory auditability, data quality SLAs, and compliance with policies and regulations.
• Identify and remove data architecture bottlenecks using utility tooling, pre-built reference architectures, and hands-on contributions to unblock platform teams and accelerate program timelines.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• 401(k)
• Life insurance
• Accident insurance
• Disability insurance
• Wellness programs
• Paid time off, including vacation and sick leave
• Paid holidays
• Discretionary and formulaic incentive and retention awards for eligible employees

What This Job Offers

• Job Type: Full-time
• Career Level: Senior