Senior Enterprise Data Analyst (Collibra)

First Citizens Bank•Raleigh, NC

About The Position

The Senior Enterprise Data Analyst is a key member of the Enterprise Data organization, responsible for advancing enterprise data governance, architecture, and quality across the Bank. This role leads strategic initiatives to improve data quality, governance, reporting, and analytics, driving measurable business value through technical expertise, innovation, and cross-functional collaboration. The position partners closely with business and technology stakeholders to strengthen enterprise data capabilities, ensure regulatory compliance, and enable data-driven decision-making. This individual also provides expert consultation to leadership, and other stakeholders, and may mentor junior team members.

Requirements

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
Strong expertise in data governance frameworks and methodologies
Hands-on experience with Collibra (Ranger certification preferred)
Experience with Collibra Data Quality or comparable data quality tools
Familiarity with Agile delivery models and SaaS/cloud ecosystems
Knowledge of data warehousing concepts, ETL processes, and data lineage
Experience with analytics and reporting tools (e.g., Cognos)
Strong analytical thinking and problem-solving skills
Excellent communication and stakeholder management capabilities
Ability to translate complex concepts into clear, actionable insights
Influences both technical and non-technical audiences effectively
High level of ownership, initiative, and execution discipline
Strong prioritization and multitasking abilities

Nice To Haves

DAMA Certified Data Management Professional (CDMP) – Practitioner level or higher
Prior experience in financial services or banking
Exposure to SAS (Base SAS, Enterprise Guide) or similar tools is a plus

Responsibilities

Define and implement enterprise data governance frameworks, standards, and best practices, including metadata management to support scalability and program maturity
Establish and operationalize data stewardship models and workflow to drive ownership, accountability, and adoption
Partner with business and technology teams to align governance initiatives with enterprise strategy
Ensure compliance with regulatory requirements through strong data management practices
Stay informed of emerging technologies and industry trends in financial services and data management
Serve as the Collibra subject matter expert, leading platform architecture, design, and implementation
Define and manage the Collibra operating model, including domains, asset types, attributes, relationships, roles, and workflows
Translate business and technical requirements into scalable Collibra solutions
Design and enable integrations between Collibra and enterprise systems (e.g., BI tools, MDM, reference data platforms)
Optimize and enhance defect management processes within Collibra to improve operational efficiency
Design and implement enterprise data quality frameworks, including datasets, rules, controls, monitoring, and remediation processes
Lead initiatives to improve data profiling, exception reporting, and issue resolution
Enhance the quality, storage, and management of enterprise data within the Enterprise Data Warehouse
Perform and oversee critical reporting validations (e.g., month-end) to ensure accuracy and completeness
Develop dashboards and reporting solutions to modernize analytics and improve business insights
Identify and create centralized, business-critical reports
Support leadership with ad hoc and strategic data analysis initiatives
Create and maintain comprehensive technical documentation, including: Source-to-target mappings, Data dictionaries, Data lineage and metadata artifacts
Evaluate and implement solutions for metadata management, data cataloging, and data classification
Promote enterprise adoption of data governance practices through engagement and training
Provide guidance and mentorship to junior analysts and consultants
Facilitate cross-functional discussions to identify opportunities for improving data capabilities