Senior Data Governance System Administrator

Schedule: Mon - Fri Flex Overview:

The Senior Data Governance System Admin will embrace the vision of governance and seek to implement that vision within the boundaries of the policies and procedures of the governance program.  This individual will train and assist governance participants to use the tools and follow the processes of Data Governance.  The Senior system administrator will assure that there is appropriate security, literacy, and adoption of the data governance tool(s).  The System Administrator will expand the capacity of the tool(s) by leading integration efforts and onboarding new data assets into the tool(s).  They will provide insight and interaction with the data governance program as needed but will be specifically trained and experienced with the tools of data governance.  The Senior Data Governance System Administrator will lead out in the use of tools to implement major Initiatives and pillars of data governance.  They will not only be responsible for tool maintenance; but how it is used within the organization and that it is used to its fullest by increasing ROI and adoption of the system(s) increase year over year.

Responsibilities:

​​Core Responsibilities: 

• ​Assist with data governance related initiatives as they relate to the effective use of Data Governance tools. 

• ​Ensure that there is internal (DG Department) training on the use and configuration of the tool. 

• ​Ensure that appropriate metrics for tool adoption and ROI are available and monitored.   

• ​Ensure that procedures to help increase adoption and ROI exist and are followed. 

• ​Educate the DG Department on the roadmap and best practices of the tool. 

• ​Ensure that roles and security in the tool(s) are well managed. 

• ​Ensure that tool(s) are updated, maintained, configured, and utilized with a high degree of efficiency. 

• ​Lead efforts to help tool users with crawling, profiling, lineage maintenance, data quality rules, impact analyses, sensitivity scanning, DLP scanning, and other DG use-cases. 

• ​Train and Assist Data Governance Analysts with the use of the data governance tool(s). 

• ​Ensure protection and privacy of data assets is increased by how we use our DG tools. 

• ​Work closely with Data Governance Analysts to ensure that the tool(s) meets the needs of various data governance use-cases. 

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​Core Skills: 

• ​Excellent verbal and written communication skills 

• ​Excellent collaboration and teamwork skills 

• ​Understanding of both technical and business aspects of information gathering and analysis.   

• ​Create synergy through service-oriented leadership 

• ​Be proactive in identifying opportunities.  Need to be a self-driven individual that works positively and proactively when tasks are not clear and delineated 

• ​Identify process & strategy that mutually benefit AFCU’s data governance program, contributing roles, & analyst community 

• ​Translate vision into reality.  Implement vision and goals into daily activity 

• ​Seek to understand the perspectives of others, and good at educating non-experts on complex problems and solutions 

• ​Knowledge and Experience with the US consumer financial services market, regulations, products & services 

Qualifications:

Required Qualificaitons:

• ​​A total of 13 years of Education and Experience.  Up to 6 years of education will be counted; all other years must be on-the-job work experience. 

• ​Option 1 : Bachelors in a STEM field + Master’s degree in STEM field + 7 Years relevant work experience 

• ​Option 2: Bachelors in a STEM field + 9 Years relevant work experience 

• ​Option 3: 13 Years work experience 

• ​Work Experience does not include academic projects. Work Experience includes the following: 

• ​At least 4 years of experience performing data management activity as a regular part of your job such as: Business Intelligence, Data Warehousing, Database Administration, Data Science, Master Data Management, Data Quality, Business Data Stewardship (formalized), Data Privacy and Compliance, Data Integration and Interoperability, Metadata Management, Reference Data Management. System Administration of a Data Management or Governance tool is highly desirable.  Data management activity may fulfill all years of work experience. 

• ​Other Relevant Work Experience May Include: information systems and technology (Networks, Security, Database, Software/Web Development, Technical Support, IT Project Management, etc.), Business Analysis & Strategy, Teaching / Curriculum Development, Training, Technical Writing, Leadership (Manager / Team Leader), Data driven decision making position, experience in the US Consumer Financial Services. 

• ​Important note: While work and educational experience is highly valuable and indicates a commitment to a career and focus on specific sets of skills; it is not everything.  Ultimately what you can deliver and the value you provide is of much more interest to us than the mere years of experience.  A portfolio that indicates value delivery will be given appropriate weight and consideration, including waiving some of the education and experience requirements. 

 

Preferred Qualificaitons:

• ​​Experience Working with (preferably administering) one or more Data Management tools such as Informatica, Collibra, Alation, Atlan, IBM InfoSphere Data Governance, Talend, Alteryx, Ovaledge, Ataccama ONE, ASG Enterprise Data Intelligence, Claravine, Egnyte, Erwin Data Governance, Precisely Data 360, SAP Master Data Governance, Semarchy xDM, Talend Data Catalog, OneTrust, D&B Connect, Azure Purview, Qlik Catalog, Salesforce Data Studio, Profisee, Claravine, Apache Atlas, Semarchy, Manta Flow, Dataedo,  

• ​Experienced working within enterprise data warehouse environment platforms such as Snowflake, Exadata, Teradata, etc.  

• ​Experience with at least one business intelligence platform such as Tableau, Power BI, Qlik, MicroStrategy, etc. 

• ​Experience with Ticketing, and Project Management tools such as those offered in the Atlassian stack (Jira and Confluence). 

• ​Experience using SQL to build data queries or perform updates to data. 

• ​Experience with Software development languages and scripting is highly desired.