Project Manager - AI, Cloud & Data Modernization (Federal Health)

This position is posted by Jobgether on behalf of Community Solutions. We are currently looking for a Project Manager – AI, Cloud & Data Modernization in the United States.

This is a fully remote opportunity to lead complex, high-impact federal health IT programs focused on AI, machine learning, and cloud-native solutions. You'll manage cross-functional teams delivering cutting-edge analytics and automation tools that drive digital modernization within a secure, regulated environment. This role offers the chance to make a meaningful difference in public health while working with top-tier experts in cloud engineering, data science, and DevSecOps. You’ll thrive in a collaborative culture that values innovation, excellence, and people-first leadership.

Accountabilities:

• Serve as the lead for a federal AI and data modernization project, overseeing prototyping, deployment, and operational delivery.
• Manage agile teams composed of engineers, developers, and data science experts across multi-cloud environments.
• Guide the development of secure and scalable AI/ML tools leveraging platforms like AWS, Azure, or GCP.
• Align project delivery with federal compliance standards (e.g., FISMA, ATO, Section 508) and mission-critical priorities.
• Coordinate seamlessly across internal teams, cloud providers, and external subcontractors to ensure on-time, high-quality results.
• Maintain a fast-paced development cadence using agile sprint cycles and DevSecOps methodologies.
• Engage stakeholders and communicate technical updates effectively to senior decision-makers and non-technical audiences.

• Bachelor’s degree in IT, data science, software development, or a related field.
• 7+ years of experience leading software development, analytics, or data science programs—preferably in the federal space.
• Proven ability to manage cloud-native solution delivery within secure and regulated environments.
• Track record in successfully delivering AI/ML or NLP capabilities across complex federal initiatives.
• Deep understanding of agile frameworks, DevSecOps practices, and product lifecycle management.
• Excellent communication skills for stakeholder engagement, client updates, and technical documentation.
• Preferred: Familiarity with AWS services like SageMaker, Glue, Redshift, Lambda, and Comprehend.
• Bonus points for experience with serverless architecture, data mesh, and multi-cloud or secure AI deployments.
• Certifications such as PMP, CSM, or SAFe are a plus.
• Background in federal health, public health IT, or regulatory science strongly preferred.

• 100% employer-paid premiums for one of three comprehensive medical plans.
• Dental and vision insurance.
• Health Spending Account (HSA) and Flexible Spending Account (FSA).
• Life and disability insurance coverage.
• 401(k) retirement plan with company match.
• Generous paid time off including vacation, sick leave, and holidays.
• Professional development and education support.
• Fully remote position within the continental U.S., with minimal travel (approx. 5%).
• Flexibility to work across time zones with some availability for Eastern Time meetings when needed.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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