Job Description

Data governance: assistant manager/lead assistant manager

- 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 and/or client specific 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.

March 12, 2021 Version: 1

Minimum Requirements:

- Bachelor\'s degree or master\'s 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) 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.

Preferred Qualifications:

- Significant experience in the de-regulated energy industry or the power generation industry

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