Senior Enterprise Data Analyst

Preferred Skill(s): Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes, Knowledge of data spreadsheets and databases, Understanding of Base SAS programming, SAS Enterprise Guide, Cognos, or related programs, Ability to write SAS programming language. Qualifications: Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics.

Overview:

This is a hybrid role, with the expectation that time working will regularly take place inside and outside of a company office. Charlotte, NC; Raleigh, NC;  Phoneix, AZ 

 

This role is part of the Enterprise Data organization and is primarily focused on the overarching governance and architecture of all data across the enterprise.

 

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across the Bank through technical innovation and continuous improvement initiatives, as well as through cross-functional partnership with other business units. Creates and maintains technical documentation related to enterprise data, including centralized critical business reports. Provides expert consultation to team members, the Information Technology department, the Bank's Data Council, and other stakeholders on strategies that achieve data management goals. May provide leadership to less experienced consultants in the work group.

Responsibilities:

Data Enhancement & Analytics

• Leads the implementation of enhancements to enterprise data quality, storage, and management within the Enterprise Data Warehouse.
• Executes initiatives for data profiling, issue resolution, and system fixes.
• Partner with Regulatory Reporting teams and key stakeholders to elicit, analyze, document, and prioritize business requirements for regulatory reporting initiatives, including FR Y-14, FR Y-9C, CCAR, and Liquidity Reporting. Ensure requirements are aligned with regulatory expectations, business objectives, and data governance standards.

• Data Quality & Governance - Support the implementation of data quality rules and controls to ensure compliance with data governance and regulatory requirements
• Supports and delivers special data-focused initiatives aligned to business needs.

Business Support & Governance

• Enforces enterprise data policies, standards, and governance practices.
• Conducts month-end data validations to ensure accuracy, completeness, and readiness for business use.
• Collaborates with stakeholders to identify gaps and improve data management processes.
• Provides training, guidance, and mentorship to junior team members as needed.

Business Strategy & Stakeholder Collaboration

• Supports the development and execution of enterprise data strategy and roadmap.
• Works cross-functionally to strengthen data management capabilities across business units.
• Maintains current knowledge of emerging technologies, tools, and trends within financial services and data management.
• Serves as a liaison between business, data, and technology teams to ensure alignment and successful delivery.

Documentation & Data Management

• Creates and maintains technical documentation including:
• Source-to-target mappings
• Data dictionaries
• Data lineage and governance artifacts
• Develops and manages centralized, business-critical reporting assets.

Agile Delivery & Execution

• Achieves Agile cadence by actively participating in all ceremonies (sprint planning, daily stand-ups, reviews, and retrospectives).
• Ensures work is managed consistently through Agile frameworks and best practices.
• Performs accurate estimation, backlog refinement, and capacity planning to support reliable delivery.

Backlog Quality & Delivery Readiness

• Establishes and enforces a Definition of Ready (DoR) for all backlog items.
• Ensures at least 90% of user stories meet DoR standards prior to sprint intake, including:
• • Clear linkage to parent Jira issue types
  • Well-defined acceptance criteria
  • User test cases
  • Data mapping requirements
• Improves delivery efficiency and reduces rework through consistent backlog quality standards.

Outcome Focus

• • Delivers high-quality, reliable enterprise data solutions.
  • Improves data integrity, governance, and reporting accuracy.
  • Strengthens Agile delivery discipline and predictability.
  • Enables better business decision-making through trusted data and analytics.

Qualifications:

Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics

 

Preferred Education: Advanced Degree License or Certification Type: DAMA Certified Data Management Professional-Practitioner (CDMP-P) certification

Preferred Skill(s): Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes, Knowledge of data spreadsheets and databases, Understanding of Base SAS programming, SAS Enterprise Guide, Cognos, or related programs, Ability to write SAS programming language

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Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.