Senior Data Governance Analyst

About the job Senior Data Governance Analyst Job Summary 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 Understand industry standard on system development life cycle (SDLC) phases, including the ability to provide guidance on how to document business requirements and impacts on process flows. 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 Bachelors degree or masters degree in an accredited four-year college in computer science, software engineering or equivalent. A experience and understanding 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 organizations vision. Must be proactive in building and aligning stakeholders, capabilities, and resources for getting things done quickly and achieving complex objectives.