Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
CI
Hybrid VP, Global Workforce Optimization – Data Architecture Lead Analyst
Posted 4 weeks ago
About the role
- Data Architecture Senior Analyst role at Citi collaborating on data solutions and improving data maturity. Partnering with internal clients to deliver scalable data pipelines and governance-aligned datasets.
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
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
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