Overview

Support the Enterprise Data Governance (EDG) Office in the development of data lifecycle management requirements, guidelines, and best practices for effectively managing enterprise data across the end-to-end data lifecycle. Provide guidance to stakeholders on the collection, discovery, management, access, use, security, retention, and retirement of data assets. Understand business needs and identify opportunities to mature information lifecycle management capabilities. Support the (EDG) Office in the development of data quality requirements, standards, frameworks, capabilities, and best practices. Provide guidance to stakeholders on developing and implementing data quality strategies and capabilities that improve data accuracy, reliability, and integrity while ensuring fit for intended use. Understand business needs and identify opportunities to mature data quality capabilities. Support the (EDG) Office in the development of metadata requirements, guidelines, and best practices. Provide guidance to stakeholders for establishing processes to identify, inventory, and capture accurate, complete, and quality metadata. Understand business needs and identify opportunities to mature metadata management capabilities. Support the (EDG) Office in the development, implementation, and management of Navy Federal's data governance policies, standards, and procedures. Assist in implementing and managing frameworks designed to identify, evaluate, and manage data governance controls across the organization or a particular business. Identify, measure, and report on compliance with data governance requirements.

• Support the drafting, publishing, managing, and enforcement of data quality requirements, standards, frameworks, capabilities, and best practices in collaboration with EDG office workstreams
• Perform data quality control assessments
• Support the development of data quality metrics in partnership with key stakeholders
• Provide advisory services on implementing data quality capabilities (e.g., including data profiling, data quality checks, data quality strategies, data issues, data quality monitoring) within a business area or across the organization
• Provide technical training and documentation on data quality policies, standards, procedures, and capabilities in collaboration with EDG workstreams
• Provide requirements for optimizing data quality processes and data quality technology solutions
• Perform analysis on data quality trends across the enterprise
• Conduct research on industry best practices for data quality management including data quality methodologies, frameworks, issue management, tooling, and reporting
• Perform other duties as assigned
• Support the drafting, publishing, managing, and monitoring of metadata management requirements in collaboration with EDG office workstreams
• Define metadata requirements, standards, and best practices for metadata repositories and solutions
• Providing ongoing support for metadata implementation, testing, and integration
• Conduct metadata management training
• Provide technical training and documentation in support of metadata policies and procedures
• Provide advisory services on increasing quality, accuracy, and completeness of metadata
• Establish requirements and provide best practices for capturing end-to-end data lineage
• Develop metadata metrics for monitoring
• Support the drafting, publishing, managing, and enforcement of (EDG) Office policies, standards, and procedures
• Support the development of guidelines, job aids, and best practices for effectively governing Navy Federal enterprise data
• Partner and coordinate implementation of EDG and InfoSec policies, standards, and procedures with key stakeholders (e.g., Information Services, Enterprise Risk, Records and Information Management, Legal)
• Provide data governance training
• Support the development of EDG data governance control assessment processes and procedures
• Assist BUs in performing data governance control assessments
• Provide advisory services to business stakeholders on policy compliance
• Effectively communicate and present policies, standards, and procedures to business stakeholders and articulate data governance solution requirements to internal and external stakeholders
• Help define and monitor policy compliance metrics, determine compliance gaps, and recommend/implement changes to improve operations related to data governance compliance
• Support the preparation of responses to regulators, internal and external audits as well as management inquiries
• Identify data governance related regulatory and contractual constraints by Legal, Regulatory Compliance, and Procurement in partnership with Privacy team
• Conduct onboarding and training for new Business Data Owners, Business Data Stewards, and Technical Data Stewards
• Collaborate across groups (e.g., BUs, Enterprise Technology Services, Enterprise Data Transformation, Data Quality, etc.) to ensure a streamlined data governance model is in place - identify areas of improvement
• Facilitate the adoption and maturity of EDG data governance controls such as data agreements

• Significant experience in one or more of the following: data engineering, enterprise data lake design & build, data warehousing, master data/reference data management, data protection, data retention, access controls, etc. at the enterprise level in a large multi-function organization, preferably at a large financial services organization
• Self-motivated and proactive, able to learn quickly and apply new concepts, tools, and applications
• Demonstrated ability to solve complex system/integration problems through innovative solutions
• Working knowledge in building data integration processes across common platforms (e.g., Service Now, Pega, SharePoint Online, PowerBI, Salesforce, etc.)
• Working knowledge of data interpretation, qualitative and quantitative analysis
• Working knowledge of Python, R, and/or Scala
• Working knowledge of SQL and querying (able to pull/transform your own data)
• Familiarity with cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud
• Significant experience in one or more of the following: data profiling, data quality strategies, data quality rules execution, data quality metadata, data quality issue management, and data quality monitoring
• Ability to understand and design platform rollouts for data quality operationalization
• Expert in presenting findings, conclusions, alternatives, and information clearly and concisely
• Significant experience in one or more of the following: data engineering, enterprise data lake design & build, data warehousing, master data management, metadata management, data lineage, data visualization, and software development
• Significant experience in a legal, risk, compliance, or audit role
• Proficient in presenting findings, conclusions, alternatives, and information clearly and concisely
• Strong understanding/ability to interpret and apply legislative and regulatory compliance guidelines, preferably in a financial institution
• Working knowledge of risk mitigation, strategic planning, and management of personnel
• Working knowledge of internal audit/audit readiness processes and best practices, preferably in a financial institution
• Strong troubleshooting skills and ability to identify root causes of issues and provide solutions
• Expert problem solving, collaboration, critical thinking, team building, and presentation skills
• Expert verbal, interpersonal and written communication skills
• Analytical mindset with strong problem solving, collaboration, critical thinking, team building, and presentation skills
• Expert communication and technical writing skills
• Advanced organizational, planning and time management skills
• Bachelor's degree in a related field, or the equivalent combination of education, training, and/or experience

• In-depth knowledge and experience in Banking/Finance/Investments, familiar with terminology, concepts and business processes and systems
• Familiarity with industry standards and regulations; Financial sector with banking or credit union experience preferred
• Familiarity with internal audit/audit readiness processes and best practices, preferably in a financial institution
• Familiarity with data governance industry best practices