Senior Data Modeling Analyst (Cloud) Job at LCG, Inc. in Bethesda
LCG, Inc., Bethesda, MD, United States
Job Description
This job opportunity is part of an RFP process; candidates are invited to submit their resumes detailing relevant experience.
Location: Bethesda, MD (Hybrid)
LCG is a minority-owned technology consulting firm that has been a trusted partner to more than 40 federal agencies, including 21 of the 27 Institutes and Centers (ICs) at the National Institutes of Health (NIH). For over 25 years, LCG has brought digitization and innovation to the Health and Human Services (HHS) and the NIH ecosystems. We support IT organizations by bringing precision technology and operation models that achieve mission capabilities and performance success.
Job Description: Senior Data Modeling Analyst (Cloud)
Position Overview:
We are seeking a highly skilled Senior Data Modeling Analyst (Cloud) to lead and manage cloud architecture, data management, and cloud security services. This role involves overseeing compliance programs, ensuring adherence to regulatory requirements, and providing strategic advisory on cloud services. The ideal candidate will have strong leadership abilities, significant technical expertise, and experience working with large cloud service implementations. They will provide guidance on cloud migrations, security assessments, and product management while collaborating with cross-functional teams to meet organizational and industry standards.
Key Responsibilities:
Manage compliance programs, policies, reporting, and practices for cloud services, ensuring all activities align with regulatory and organizational requirements.
Oversee internal controls and auditing systems, ensuring continuous monitoring and reporting on cloud-related regulated activities.
Lead risk-based compliance testing of procedures and controls to identify, detect, and correct noncompliance.
Collaborate with NIH leadership to provide strategic and technical input on cloud architecture, ensuring alignment with long-term goals.
Offer strategic data management and engineering support for cloud platforms, including assessment and documentation of technical requirements.
Provide scientific, technical, and architectural leadership in cloud strategies and platform development.
Guide cloud migrations and provide expert recommendations based on industry best practices.
Oversee cloud security operations and ensure compliance with security standards such as NIST, FIPS, and HHS policies.
Conduct targeted assessments of cloud services infrastructure, applications, data management, and security.
Assist in the development and implementation of automated self-service portals, integrating with tools like GitHub and Azure.
Lead cloud enablement efforts, offering training and consultation to NIH scientists and researchers on the effective use of cloud services.
Provide ongoing cloud product management, developing product roadmaps, capacity plans, and supporting cloud integrations.
Manage and supervise a team of technical staff, ensuring alignment with project milestones, goals, and approved budgets.
Qualifications:
Bachelor's degree in a relevant field or equivalent experience.
Minimum of 5 years of experience in cloud architecture, data management, or cloud security.
1-3 years of supervisory experience, demonstrating leadership in cloud service strategy, compliance, or security.
Extensive knowledge of cloud service providers (AWS, Azure, GCP) and related services.
Experience with compliance and regulatory frameworks such as NIST, FIPS, and Federal Information Processing Standards.
Strong understanding of automated portals and cloud module development for scientific and research environments.
Excellent communication and project management skills, with a track record of successful cloud service implementation and security compliance.
Preferred Skills:
Experience working within NIH or a similar research-driven environment.
Certifications in cloud services, security, or compliance (e.g., AWS Certified Solutions Architect, Azure Security Engineer).
Familiarity with scientific computing, cloud enablement initiatives, and GitHub-based development.
Compensation and Benefits
The projected compensation range for this position is $119,750 to $160,000 per year benchmarked in the Washington, D.C. metropolitan area. The target salary is $140,000. The salary range provided is a good faith estimate representative of all experience levels. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience.
LCG offers a competitive, comprehensive benefits package which includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits.
Devoted to Fair and Inclusive Practices
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.
If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at hr@lcginc.com.
Securing Your Data
Beware of fraudulent job offers using LCG's name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from lcginc.com or system@hirebridgemail.com emails, not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information, contact us immediately at hr@lcginc.com.
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.