VP Global Workforce Optimization Data Architecture Lead Analyst

Citi • Johnson City, UT

5d

About The Position

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.

Requirements

• 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
• 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.

Nice To Haves

• Prior experience in banking industry or financial services sector is highly desirable
• Master's degree preferred

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

Benefits

• 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.

What This Job Offers

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