Data Management Specialist

Enterprise Knowledge (EK) is hiring a Data Management Specialist to join our growing Advanced Data & Enterprise AI Practice.

As a member of this team, you will be responsible for building out the foundational elements of data management programs by developing practical and applicable solutions that help our clients and partners understand the value of good data management practices - that power advanced AI solutions.

EK was recognized on KMWorld's list of leaders in Artificial Intelligence, the AI 100 : The Companies Empowering Intelligent Knowledge Management.

As a Data Management Specialist , you'll be responsible for helping to drive the adoption of data management practices in the form of metadata management, data transformation and validation, data ownership, and data governance that will make you a trusted partner in the stewardship of critical data for client organizations.

As an EK analyst, you will join a fast-growing company that is committed to diversity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique benefits, and help build our innovative culture.

Applicants must be currently authorized to work in the United States on a full-time basis. Enterprise Knowledge will not sponsor applicants for work VISAs.

This Hybrid role requires that you live within a comfortable commutable distance of our Arlington office and that you are willing to be on-site a few days a week.

Responsibilities :

• Advise clients in all aspects of the planning and implementation of their data management and governance strategies
• Facilitate discussions to understand client needs to provide advisory / consulting on data management and governance best practices and translate to technical requirements for solution design and implementation
• Work with product owners on data management and governance challenges, providing analysis and expertise in data to recommend strategic solutions.
• Help to identify and deploy enterprise data best practices such as data scoping, metadata standardization, lineage, data deduplication, mapping and transformation, and business validations.
• Own development and management of business glossaries and data dictionaries to establish enterprise data standards pertaining to the use of critical data.
• Engage with key business stakeholders to assist with establishing fundamental data governance processes and procedures both at project onset and on an ongoing basis.
• Create, prepare, and standardize data catalog quality reports for internal analysis.
• Define key data catalog quality metrics and indicators and facilitate the development and implementation of supporting standards.
• Ensure adoption of required policies and standards across the enterprise.
• Ensure issues raised by business and functional data governance leaders are resolved and that data objectives are met.
• Grow, mature, and enforce modern data documentation standards.

Required Skills and Qualifications :

• Bachelor's Degree in Information Science, Software Engineering, Library Management, Library Science, Data Science or related field
• 2+ years of operational or consultant experience in data management, data operations, or data governance role.
• Proven experience working directly with clients, providing briefings, facilitating meetings, and presenting work product
• Experience designing and working with relational databases
• Excellent work ethic : Exhibits ability to self-manage, scope, prioritize and communicate operational work deliverables and deadlines on an ongoing basis.
• Understanding of Agile development methodologies
• Experience and familiarity with data modeling, data silo integration, and database architecture projects
• Willingness and ability to obtain a Public Trust security clearance

Peferred Skills and Qualficantions :

• Experience designing and working with SQL, graph databases, and / or graph query language such as SPARQL
• Experience setting up and working with data catalog
• Coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment

We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status."