Investor Services Technology - Data Solutions Senior Vice President

Citi • Jersey City, NJ

1d • $176,720 - $265,080 • Onsite

About The Position

Citi's Investor Services Technology group is seeking a technically exceptional and domain-savvy Data Architect to serve as the definitive data architecture authority across the Investor Services (IS) program — spanning Custody, Fund Administration, and Securities Finance. This is explicitly a hands-on architect role. The successful candidate will be expected to write, review, and validate architecture artifacts, data models, canonical schemas, and technical standards. You will be embedded with delivery teams, working directly with business analysts, data engineers, and technology leads to produce production-quality data architecture outputs that the entire IS program depends on. You will also lead the design and delivery of a suite of data architecture utilities — reusable tooling, accelerators, and automation that dramatically compress the time to deliver consistent, standards-compliant data integrations across Investor Services platforms. This role is a rare opportunity to set the data foundations for one of the most complex and consequential technology transformation programs in global financial services. Deep Custody and/or Fund Services domain knowledge is a prerequisite, not a preference.

Requirements

• 10 - 12+ years in technology, with at least 6 years in a data architecture, data engineering, or enterprise architecture role within financial services
• Demonstrable track record as a hands-on data architect— directly authoring data models, schemas, and technical standards (not purely advisory)
• Experience defining data architectures for large-scale, multi-platform programs in a regulated financial institution
• Background working across 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
• Expert-level proficiency in data modelling techniques: conceptual, logical, and physical modelling; entity-relationship (ERD) design; dimensional and normalized models
• Deep expertise in canonical data format design: JSON Schema, Avro, — including schema versioning, backward/forward compatibility, and evolution strategies
• Strong command of API design and data contract patterns: OpenAPI, AsyncAPI, consumer-driven contract testing (Pact)
• Hands-on experience with data lineage and cataloguing tools (Apache Atlas, Collibra, Alation, DataHub, or equivalent)
• Proficiency in event-driven architecture and messaging platforms: Apache Kafka (schema registry, Avro serialization), Solace
• Working knowledge of cloud data platforms: Databricks, Snowflake, AWS (Glue, Lake Formation), Azure (Data Factory, Synapse), or GCP
• Ability to read and write production-quality code in Python or Java — sufficient 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 asset servicing data — securities master, settlement instructions, positions, corporate actions, income events, and reconciliation data structures
• Working knowledge of fund accounting data models — NAV components, expense structures, investor registers, transaction data, and fund reporting data requirements
• Familiarity with industry data standards and messaging protocols: SWIFT (MT/MX, ISO 20022), FIX, FpML, and their data model implications
• Understanding of securities reference data: instrument master, issuer data, pricing, and the data management challenges at global scale
• Knowledge of post-trade settlement data flows: DVP/FOP settlement, fail management, and the data hand-offs between custody and counterparty systems
• Awareness of regulatory data requirements: SFTR reporting data fields, FATCA/CRS data requirements, and audit trail obligations in custody and fund services
• Bachelor's degree or equivalent experience

Responsibilities

• Define, document, and own the Investor Services data publication architecture principles — governing data modelling standards, naming conventions, versioning strategies, API data contracts, and data quality rules across all IS technology domains.
• Work with delivery leads across all 50+ IS platforms to define, document, and enforce standardized architecture patterns for data generation, transformation, and consumption — covering batch, near-real-time, and event-driven data flows from source systems to downstream consumers.
• Personally lead and contribute to the creation of canonical data models, enterprise data dictionaries, and business glossaries for Custody and Fund Services domains — collaborating directly with business SMEs, operations leads, and delivery architects to reach consensus and lock down definitions.
• Design and publish canonical message formats (JSON schemas, Avro), reference data samples, and integration contracts — providing platform teams with unambiguous, implementation-ready data specifications that eliminate downstream interpretation risk.
• Design and build shared data architecture utilities — including schema validators, data contract testing frameworks, data lineage trackers, canonical mapping accelerators, and code generators — that compress individual platform delivery timelines and enforce standards automatically.
• Serve as the primary bridge between business stakeholders and engineering teams on all data architecture decisions — facilitating working sessions, reviewing data model proposals, resolving conflicts, and driving timely sign-off on data contracts across a complex, multi-stakeholder program.
• Establish data governance frameworks that cover data ownership, stewardship, classification, and lineage across IS platforms — ensuring regulatory auditability, data quality SLAs, and compliance with internal data management policies and external regulations.
• Proactively identify and remove data architecture bottlenecks that are blocking delivery across the IS program — using utility tooling, pre-built reference architectures, and direct hands-on contribution to unblock platform teams and compress overall program timelines.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

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