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

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
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

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata architecturedata frameworksdata pipelinedata modelingSQLSASPythonRdata quality rules

Soft Skills

communicationrelationship managementindependent workprioritizationgoal settinginfluencenegotiationstakeholder engagementverbal skillswritten skills

Certifications

BS in Computer ScienceBS in FinanceBS in EngineeringBS in Math