VP, Global Data Architecture for Workforce Optimization

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

Benefits offered by this job

Medical, dental & vision

401(k)

Life, accident, and disability

Wellness programs

Paid time off

Holidays

Job summary

Citi's Global Workforce Optimization seeks a Data Architecture Senior Analyst in Jacksonville, Florida. You will partner with internal clients to translate data needs into scalable pipelines and governance-aligned datasets.

You will lead end-to-end onboarding, design data flows across platforms, and drive improvements in data maturity and speed-to-market. Requires 6+ years in data engineering/architecture, with SQL, Python, Snowflake, and cloud concepts.

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

Responsibilities

• 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
• 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

Skills

Data engineering

Data architecture

Data modeling

SQL

Python

SAS

R

Snowflake

Data governance

Medallion architecture

Education

Bachelor's degree

Master's degree preferred

Tools

SQL

SAS

Python

R

Snowflake

Job description

Citi's Global Workforce Optimization seeks a Data Architecture Senior Analyst in Jacksonville, Florida. You will partner with internal clients to translate data needs into scalable pipelines and governance-aligned datasets.

You will lead end-to-end onboarding, design data flows across platforms, and drive improvements in data maturity and speed-to-market. Requires 6+ years in data engineering/architecture, with SQL, Python, Snowflake, and cloud concepts.