Associate Data Management Consultant at Enterprise Knowledge EK
Arlington, Virginia, USA -
Full Time


Start Date

Immediate

Expiry Date

12 Jun, 25

Salary

80000.0

Posted On

12 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Library Science, Data Science, Information Science, Data Sharing, Color, Library Management

Industry

Information Technology/IT

Description

Enterprise Knowledge (EK) is hiring an Associate Data Management Consultant 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.
As an Associate Data Management Consultant, 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. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on LinkedIn.
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 role requires that you live within a comfortable commutable distance of our Arlington, VA office and that you are willing to be on-site 5 days a week.

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, or data governance role
  • Proven experience working directly with clients, providing briefings, facilitating meetings, and presenting work product
  • Excellent work ethic: Exhibits ability to self-manage, scope, prioritize and communicate operational work deliverables and deadlines on an ongoing basis
  • Willingness and ability to obtain a Public Trust security clearance

PREFERRED SKILLS AND QUALIFICATIONS:

  • Experience setting up and working with data catalogs
  • Experience with creating data governance policies for data sharing, usage, and acquisition
  • Experience supporting the implementation of data management initiatives at enterprise organizations
  • Experience using data management frameworks (DCAM, DMBOK) to assess maturity of data management at different organizations
    EK considers a broad range of factors in considering employee salary including a candidate’s skills, experience, education, certifications, past successes, and qualifications. A range for a starting pay for this role is $80,000 to $110,000 with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate’s qualifications.
    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.
Responsibilities
  • Help to identify and deploy enterprise data best practices such as data cataloging, metadata standardization, lineage, data deduplication, 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
  • Define key data catalog quality metrics and indicators and facilitate the development and implementation of supporting standards
  • 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
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