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 & DataManagement, 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.
Job Responsibilities
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
Location
Remote
About Company
HuQuo (derived from Human Quotient) is the next stage in the evolution of HR. In an industry thirsty for innovation, HuQuo is a fresh perspective towards people and organizations. At HuQuo,we do not look at human beings as mere resources, but as an ocean of untapped potential. Human Quotient goes beyond IQ and EQ. It’s the holistic representation of all human potential. We strategically manage this Human quotient. We believe that every organization has a human like individuality which can help nurture and flourish those individuals that resonate with it. Our endeavor is to bring such high resonance individuals and organizations together. We will achieve this through extensive use of analytics and deep immersion to understand the core of the organizations and people we work with.