Sr. Project Manager

Senior Project Manager

If you're seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS' success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities.

This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded.

We're looking for a Senior Project Manager with experience leading AI Solutions and project initiatives, ideally within the utilities or energy sector focused around cybersecurity. This role requires a unique combination of project leadership, technical fluency, and industry understanding to help shape and deliver impactful AI-driven solutions.

What You'll Be Doing

AI & Data Project Experience

• Demonstrated experience managing AI / ML initiatives (e.g., predictive analytics, computer vision, NLP, or LLMs)
• Understanding of the AI / ML lifecycle, including data acquisition, model development, testing, deployment, and monitoring
• Experience working directly with data scientists, machine learning engineers, and cloud / data teams
• Ability to translate AI concepts into actionable business plans and communicate outcomes to non-technical stakeholders
• Familiarity with AI governance, ethics, and regulatory considerations (e.g., explainability, bias, data privacy)

Key Responsibilities

Lead cross-functional teams in the end-to-end delivery of AI / ML projects, from ideation through deployment and post-launch optimization.

Serve as the primary point of contact for internal business, and IT stakeholders regarding project status, risks, and outcomes.

Manage a team of Full Stack Engineers, data scientists, Data & AI Architects, Data Engineers and QA specialists.

Identify and mitigate project risks, ensuring compliance with data privacy, security, and ethical AI standards.

Stay current with AI trends, tools, and technologies to inform strategic planning and solution design.

Qualifications

Preferred Skills

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.