Data Integration Lead at The George Washington University

I. JOB OVERVIEW

Job Description Summary:

Located in the nation’s capital, GW’s School of Engineering and Applied Science strives to promote a multicultural technological community and maintain and develop special integrated programs with industry and government. GW Engineering prepares professionals to be confident in their understanding of science and technology, capable of exercising constructive leadership, creative in the face of new environmental and societal challenges, and agile in the application of critical analytical skills during a lifelong learning that will open new career horizons. GW Engineering strives to create a vibrant atmosphere, providing for interaction and joint ventures among faculty, students, and the abundant resources of scientists and facilities available in the Washington Metropolitan Area.

The Data Integration Lead is in charge of managing several engagements, collaborating with various teams and business stakeholders, and focusing on multiple areas of data architecture, initiatives, projects, and integrations. This position’s primary responsibilities include enterprise architecture design, business analysis, and data modeling. This position collaborates with business users, application developers, and database administrators to translate business requirements into conceptual, logical, and physical models while ensuring that all design and analytical deliverables adhere to enterprise standards. This role improves and maintains a repository of cross-referenced metadata of information required to facilitate the development of new applications. Specific duties may include:

• Develop a GW Research capabilities database by interviewing all cyber- related program leaders in various fields and Schools (starting with the 9 CSPRI Board members) to include degrees offered, courses taught and research ideas with DoD and other agencies to consider funding;
• Review the 2024 NDAA and identify areas of potential academic research;
• Establish mid-level discussions with ops people in geographically nearby agencies to identify possible partners and/or co-tenants for the GW (CPS)-led National Cyber Center initiative
• Develop an RoI analysis of the feasibility of creating a GW SCIF (Sensitive Compartmentalized Information Facility);
• Work with faculty at ESIA to organize a research effort to use data analytics and LLMs to streamline analysis focused on national security, to potentially lead to funded research through proposals to agencies.
• Conduct cost-benefit analysis regarding acquisition of platforms and tools support core data structures and processes within the GW SEAS, and engage with program leaders various fields and Schools in COA analysis and decision- making regarding major investments required for a scalable strategic data effort.
• Provide consultation to Director and appropriate data/IT teams regarding the impact of data environment and investment decisions on analytic methods and reporting.

Performs other related duties as assigned. The omission of specific duties does not preclude the supervisor from assigning tasks that are logically related to the position.

Minimum Qualifications:

Qualified candidates will hold a Bachelor’s degree in an appropriate area of specialization plus 7 years of relevant professional experience, or, a Master’s degree or higher in a relevant area of study plus 5 years of relevant professional experience. Degree must be conferred by the start date of the position. Degree requirements may be substituted with an equivalent combination of education, training and experience.

Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications:

Preferred Qualifications:

• The preferred candidate will possess 7 years serving in relevant defense, cyber, intelligence and security areas conducting assessments and analysis that assist in resolving problems, influencing and explaining guidance, and provides solutions.
• The preferred candidate will have worked at various levels across the federal government, industry, and academia in the areas of cyber, defense, intelligence, and security, and where the candidate has collaborated with key stakeholders across those communities.

Hiring Range

$92,790.58 - $204,000.00

GW Staff Approach to Pay

Healthcare Benefits

GW offers a comprehensive benefit package that includes medical, dental, vision, life & disability insurance, time off & leave, retirement savings, tuition, well-being and various voluntary benefits. For program details and eligibility, please visit

II. JOB DETAILS

Campus Location:

Foggy Bottom, Washington, D.C.

College/School/Department:

School of Engineering and Applied Sciences (SEAS)

Family

Information Technology

Sub-Family

Enterprise Systems - Data Integration

Stream

Individual Contributor

Level

Level 4

Full-Time/Part-Time:

Full-Time

Hours Per Week:

40+

Work Schedule:

M-F: 8:30AM – 5:00PM

Will this job require the employee to work on site?

Yes

Employee Onsite Status

Hybrid

Telework:

Yes

Required Background Check:

Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search

Special Instructions to Applicants:

• Employer will not sponsor for employment Visa status
• This position is a limited term, grant funded position ending on August 7, 2026. Continuation of the position is contingent on grant funding.

Internal Applicants Only?

No

Posting Number:

S013407

Job Open Date:

10/28/2024

Job Close Date:

10/31/2024

If temporary, grant funded or limited term appointment, position funded until:

08/07/2026

Background Screening

Successful Completion of a Background Screening will be required as a condition of hire.

EEO Statement:

The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.