Global Workforce Optimization Data Architecture Lead Analyst Vice President

Citi; Jacksonville (FL); On-site; USD 93,000 - 140,000; Full time

Job summary

Citi's Global Workforce Optimization (GWFO) seeks a Data Architecture Senior Analyst in Jacksonville, FL. You will translate data needs into scalable data pipelines, collaborate with internal clients, and lead onboarding of data into the GWFO product suite.

The role emphasizes data maturity, governance, and automation, with a focus on designing data flows, metadata, and quality rules. Strong SQL/Python/SAS skills and cloud experience are required.

Qualifications

• 6+ years of data engineering/architecture experience.
• 5+ years in data frameworks, pipelines, modeling, and cloud concepts.
• SQL, SAS, Python, R experience.

Responsibilities

• Partner with internal clients to capture data needs and integrate data into the GWFO product suite.
• Own end-to-end data onboarding delivery: intake, requirements, mapping, integration design, build, validation, and release.
• Establish repeatable onboarding data playbooks and templates.
• Manage relationships with key stakeholders across the organization.
• Leads larger projects and onboarding of new clients, integrating client data into our product suite.
• Liaises with multiple data teams and technology partners for data initiatives.
• Design scalable data flows and integration patterns across platforms.
• Reduce manual data consumption through automation and self-service enablement.
• Translate complex data problem statements into actionable designs.
• Improve data effectiveness with checks and standards that increase trust and scalability.
• Lead data tooling evaluations to optimize onboarding, metadata discovery, and data quality needs.
• Define hypotheses and communicate outcomes to stakeholders.

Skills

Data engineering

Data architecture

Data modeling

SQL

Python

R

SAS

Cloud concepts

Stakeholder management

Communication

Education

Bachelor's degree or equivalent

Master's degree preferred

Tools

Snowflake

Job description

About Citi:

Citi, the world leading global bank, has approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. Citi provides 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. Citi enables clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity. A critical enabler of Citi's mission to enable growth and economic progress is technology. Our teams are creating innovations used across the globe - we're changing the way people bank and how the world does business.

Who We Are:

Citi's Global Workforce Optimization (GWFO) is an organization within Citi's Chief Operating Office and Enterprise Operations. Our organization designs solutions providing transparency & visibility of the current state; and functions to leverage enterprise solutions to drive improved process & workforce optimization; and supports the evolution of the organization via continuous improvement & simplification. Our GWFO mission is to partner with Citi businesses globally to improve customer experience, increase revenue, achieve service objectives, and maximize efficiency. GWFO support includes workforce management related activities, including capacity planning, analytics, and supplier tools support. Across the Citi Enterprise, we strive to:

• Drive workforce strategy and provide insights across capacity planning and supported applications to optimize people and processes
• Enable discipline, create consistency, and vigorously improve processes
• Deliver & optimize applications and tools in real-time while driving control rigor
• Serve as a trusted partner and subject matter expert supporting key strategic work

About the Role:

The Global Workforce Optimization (GWFO) Data Architecture Senior Analyst is a seasoned, data-savvy specialist who serves as the in-house data Subject Matter Expert (SME). In this role, you will partner directly with internal "clients" to translate data needs into scalable data pipelines, integrations, governance-aligned datasets, and repeatable onboarding patterns. You will lead and deliver high-impact data initiatives that improve data maturity, simplify data onboarding, and accelerate "speed-to-market" data outcomes. The ideal candidate should possess a strong technical data foundation, comfortable with ambiguity with thinking outside the box mentality and have a passion for problem solving complex data needs into strategic solutions. This function covers incumbents responsible for various data activities, which include subject matter expertise in the latest data concepts, database architecture / design engineering, and ability to translate highly complex data technical specifications from clients into well designed data integration outcomes.

Responsibilities:

Client Partnership & Data Onboarding

• Partner with internal clients to capture data needs, define onboarding approach, and integrate data into the GWFO product suite
• Own end-to-end data onboarding delivery: intake, requirements, mapping, integration design, build, validation, and release
• Establish repeatable onboarding data playbooks and templates that simplify GWFO data maturity and reduce time-to-value.
• Manage relationships with key stakeholders across the organization, including the day-to-day execution of activities and meetings
• Leads larger projects with broader impact. Interacts and onboard new clients, partners with existing clients, and focused on integrating client data into our product suite for workforce solutions
• Liaises with multiple data teams/departments, technology partners, and serves as subject matter for planning and analysis of project deliverables and processes for data initiatives

Data Enablement and Strategic Solutioning

• Partner with technology and data teams to design and implement scalable data flows and integration patterns across platforms to support workforce solutions
• Reduce manual data consumption through automation, self-service enablement, and resilient engineering solutions in conjunction with technology
• Translate complex data problem statements into actionable designs (source-to-target mappings, data models, and integration specifications)
• Improve data effectiveness by implementing pragmatic checks and standards that increase trust, reuse, and scalability
• Lead data tooling and evaluations to optimize onboarding, metadata discovery, data access, and quality needs (e.g., data catalogs, Snowflake, data quality rules, cloud solutions, semantic Layers, medallion architecture)
• Define hypotheses, success criteria, and scale recommendations; communicate outcomes and adoption paths to stakeholders
• Examine enterprise data frameworks to identify opportunities that simplify onboarding and accelerate GWFO data maturity aligned to Citi strategic roadmaps

Qualifications:

• 6+ years of demonstrated experience in data engineering, architecture, or related field with a history of successfully delivering complex projects
• 5+ years of experience in data frameworks, data pipeline and data modeling, cloud or relationship database concepts, building data roadmaps and strategies, and providing executives with strategic outcomes and updates
• Prior experience in banking industry or financial services sector is highly desirable
• BS in Computer Science, Finance, Engineering, Math preferred
• Experience in analyzing and defining data structures and architecture
• Experience with databases and coding languages (SQL, SAS, Python, R, etc.)
• Experience with emerging data trends and technologies, including semantic layers, medallion data architecture, and scalable data frameworks
• Strong understanding of Enterprise Data Architecture frameworks and methodologies
• Ability to interact with all levels, including senior management, as a business partner with good verbal and written skills
• Ability to work independently in a fast-paced environment, to be able to prioritize work, set goals and complete work by designated deadlines
• Ability to build alliances, influence and negotiate to drive decisions; Positions oneself to be a partner to drive results along with key stakeholders and decision makers. Provide input/recommendations to the respective budget and financial impacts to the organization

Education:

• Bachelor's/University degree or equivalent experience, Master's degree preferred

Job Family Group: Operations - Core

Job Family: Business Planning & Analysis

Time Type: Full time

Primary Location: Jacksonville Florida United States

Primary Location Full Time Salary Range: $93,440.00 - $140,160.00

In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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: Sep 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.

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