Senior Data Modeling Analyst (Cloud)

LCG, Inc.

LCG, Inc. is a minority-owned technology consulting firm that has partnered with over 40 federal agencies, including the National Institutes of Health. With more than two decades of experience, LCG excels in bringing digital innovation to Health and Human Services. This role is essential for managing cloud architecture and compliance, ensuring technical expertise aligns with strategic goals.

In this role you can expect to have the responsibilities:

• Manage compliance programs and policies for cloud services.
• Oversee internal controls and auditing systems for regulated cloud activities.
• Lead compliance testing to ensure adherence to regulations.
• Collaborate with NIH leadership on cloud architecture strategy.
• Provide strategic data management support for cloud platforms.
• Guide cloud migrations and recommend industry best practices.
• Oversee cloud security operations ensuring compliance with standards.
• Conduct assessments of cloud services and security.
• Develop automated self-service portals integrating tools like GitHub.
• Lead cloud enablement training for NIH researchers.
• Manage cloud product roadmaps and integrations.
• Supervise technical staff ensuring project alignment.

This role comes with the following benefits:

• Health insurance options (medical, dental, vision).
• Life and disability insurance.
• Retirement plan contributions.
• Paid leave and federal holidays.
• Professional development benefits.

This role requires you to have:

• Bachelor's degree in a relevant field or equivalent experience.
• 5+ years experience in cloud architecture, data management, or security.
• 1-3 years supervisory experience in cloud services.
• Knowledge of AWS, Azure, GCP, and compliance frameworks like NIST.

You would benefit from having:

• Experience within NIH or similar research environments.
• Certifications in cloud services like AWS or Azure.
• Familiarity with GitHub-based development.

LCG is committed to fair and inclusive hiring practices, without discrimination on the basis of various identifiers. Candidates should be aware of fraudulent job offers and report any suspicious activity.