Overview
On Site
Contract - W2
Contract - 6 month(s)
10% Travel
Skills
Data Engineering
Business Intelligence
Data Science
Training
Data Management
Reference Data
Data Stewardship
Data Custodian
Data Dictionary
Meta-data Management
Access Control
Attention To Detail
Collaboration
Data Analysis
Data Profiling
Business Analysis
Process Mapping
Streaming
People Management
Computer Science
Software Engineering
Database
Data Warehouse
Testing
Process Modeling
Data Governance
Data Quality
Data Migration
Data Architecture
Enterprise Resource Planning
SAP
Agile
Scrum
Kanban
Lean Methodology
Project Management
Cloud Computing
Amazon Web Services
Data Lake
Amazon S3
Electronic Health Record (EHR)
Critical Thinking
Pick
Communication
Leadership
Management
Cross-functional Team
Job Details
Data Governance & Development team is seeking a Senior Data Governance Analyst. This candidate should be skilled at working with people, processes, and technology efficiently so that the company can implement and operationalize a comprehensive data governance toolset. The analyst will also partner with IT, Data Engineering, Business Intelligence, and Data Science teams to develop data governance policies, standards, and procedures, as well as designing and implementing training on standards and procedures
This candidate will play a key role in establishing, building, and managing the Data Catalog and other Data Governance tool capabilities so that the company is set up to manage its internal data assets.
Essential Duties/Responsibilities:
Develops and deploys data governance framework/standards consisting of data policies and processes in the areas of data ingestion, data movement, data quality, master & reference data and data life cycle management
Assists in developing and implementing enterprise tools to support Data Governance & Data Management, including Data Catalog, Metadata Management, Data Quality, Master & Reference Data Management
Mentors and reviews work of less experienced staff.
Coordinates with various stakeholders across various organizations to apply established data governance framework (developing data stewardship, data custodian roles, data dictionary, metadata management, and access controls).
Ensures remediation plans are implemented where data fails to meet established data governance framework/standards.
Support business owners and data stewards in addressing high priority enterprise data problems, recommend solutions and use of industry standards when appropriate.
Detail oriented with the ability to analyze data and perform in depth data analysis
Work across multiple business and technology teams, with the ability to perform data discovery, build data glossaries and catalogs, perform data analysis and data profiling.
Business analysis including business process mapping and requirement definition
Manage time independently, work independently and manage multiple open work streams at the same time
Coordinate and communicate in a clear and timely manner on changes, issues and business impacts, among team members.
Responsible for people management and performs other duties as assigned.
Minimum Requirements
Bachelor's degree or master's degree in an accredited four-year college in computer science, software engineering or equivalent.
A minimum of 5+ years of database and custom data warehouse design, testing, development, and architecture experience required, or equivalent experience in business process design and engineering
Experience in data governance, data quality, data migration, data prep, or data architecture within key ERP and business applications (such as SAP, Collibra, etc.) is a plus
Experience with Agile methodologies (Scrum, Kanban, Lean) or Project Management a plus
Understanding of Cloud technologies (preferably AWS) is a plus. AWS Services for Data Lake such as S3, Glue, Athena, EMR, Lambda etc
Critical Thinking: Ask questions, Dig-in, explore & come to new conclusions based on the findings
Intellectual curiosity and aptitude to pick up new technical skills
Must be skillful at verbal and written communication to both leadership teams and peer groups.
Must be comfortable working with senior management, both on the business and technical sides. Must demonstrate ability to create professional relationships and effectively partner with and influence a cross-functional team.
Must be able to develop a long-range course of action or set of goals to align with the organization's vision.
Must be proactive in building and aligning stakeholders, capabilities, and resources for getting things done quickly and achieving complex objectives.
This candidate will play a key role in establishing, building, and managing the Data Catalog and other Data Governance tool capabilities so that the company is set up to manage its internal data assets.
Essential Duties/Responsibilities:
Develops and deploys data governance framework/standards consisting of data policies and processes in the areas of data ingestion, data movement, data quality, master & reference data and data life cycle management
Assists in developing and implementing enterprise tools to support Data Governance & Data Management, including Data Catalog, Metadata Management, Data Quality, Master & Reference Data Management
Mentors and reviews work of less experienced staff.
Coordinates with various stakeholders across various organizations to apply established data governance framework (developing data stewardship, data custodian roles, data dictionary, metadata management, and access controls).
Ensures remediation plans are implemented where data fails to meet established data governance framework/standards.
Support business owners and data stewards in addressing high priority enterprise data problems, recommend solutions and use of industry standards when appropriate.
Detail oriented with the ability to analyze data and perform in depth data analysis
Work across multiple business and technology teams, with the ability to perform data discovery, build data glossaries and catalogs, perform data analysis and data profiling.
Business analysis including business process mapping and requirement definition
Manage time independently, work independently and manage multiple open work streams at the same time
Coordinate and communicate in a clear and timely manner on changes, issues and business impacts, among team members.
Responsible for people management and performs other duties as assigned.
Minimum Requirements
Bachelor's degree or master's degree in an accredited four-year college in computer science, software engineering or equivalent.
A minimum of 5+ years of database and custom data warehouse design, testing, development, and architecture experience required, or equivalent experience in business process design and engineering
Experience in data governance, data quality, data migration, data prep, or data architecture within key ERP and business applications (such as SAP, Collibra, etc.) is a plus
Experience with Agile methodologies (Scrum, Kanban, Lean) or Project Management a plus
Understanding of Cloud technologies (preferably AWS) is a plus. AWS Services for Data Lake such as S3, Glue, Athena, EMR, Lambda etc
Critical Thinking: Ask questions, Dig-in, explore & come to new conclusions based on the findings
Intellectual curiosity and aptitude to pick up new technical skills
Must be skillful at verbal and written communication to both leadership teams and peer groups.
Must be comfortable working with senior management, both on the business and technical sides. Must demonstrate ability to create professional relationships and effectively partner with and influence a cross-functional team.
Must be able to develop a long-range course of action or set of goals to align with the organization's vision.
Must be proactive in building and aligning stakeholders, capabilities, and resources for getting things done quickly and achieving complex objectives.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.