Investor Services Technology - Data Solutions Senior Vice President

Citi; Tampa (FL); On-site; USD 177,000 - 265,000; Full time

Benefits offered by this job

Medical coverage

Dental & vision

401(k)

Life and disability insurance

Wellness programs

Paid holidays

Job summary

Citi in Jersey City, NJ is seeking a hands-on Data Architect to own the IS data publication architecture, canonical models, and data contracts. You will write and review artifacts, collaborate with delivery teams, and lead the design of data utilities that accelerate compliant data integrations across Custody and Fund Services.

The ideal candidate has 10–12+ years in tech with 6+ years in data architecture within financial services, deep experience with data modelling, JSON/Avro formats, APIs,

Qualifications

• 10-12+ years in technology, with at least 6 years in a data architecture/delivery role within financial services
• Hands-on data architect with authoring data models, schemas and technical standards
• Experience defining data architectures for large-scale, multi-platform programs in regulated financial institutions
• Background negotiating data definitions/contracts in multi-stakeholder environments
• Experience delivering data architecture tooling or utilities that improved program velocity

Responsibilities

• Define, document, and own the Investor Services data publication architecture principles
• Standardize architecture patterns across 50+ IS platforms for data generation, transformation, and consumption
• Lead canonical data models, dictionaries, and business glossaries for Custody and Fund Services
• Publish canonical formats (JSON schemas, Avro) and reference data samples
• Design and build shared data architecture utilities (validators, lineage trackers, code generators)
• Bridge business stakeholders and engineering teams on data contracts and governance
• Establish data governance frameworks with ownership, stewardship, and lineage

Skills

Data modelling

Canonical data formats

APIs & data contracts

Data lineage

Data governance

Cloud data platforms

Production code (Python/Java)

Data quality

Education

Bachelor’s degree in Computer Science/Information Systems/Engineering

Master’s degree in a technical discipline

Tools

Apache Atlas

Collibra

Alation

DataHub

Kafka

OpenAPI/AsyncAPI

Job description

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.

Responsibilities:

Data Architecture Principles & Standards

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.

Architecture Pattern Standardization

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.

Canonical Data Models & Dictionaries

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.

Canonical Formats & Samples

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.

Data Architecture Utilities

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.

Business & Tech Collaboration

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.

Data Governance & Lineage

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.

Program Timeline Acceleration

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.

Experience:

• 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

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline

Technical Skills:

• 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

Domain Knowledge:

• Custody: Deep understanding of asset servicing data — securities master, settlement instructions, positions, corporate actions, income events, and reconciliation data structures
• Fund Services: 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

Education:

• Bachelor’s degree or equivalent experience

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Jersey City New Jersey United States

Primary Location Full Time Salary Range:

$176,720.00 - $265,080.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.

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

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Oct 29, 2026

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate’s skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.