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Sr. Project Manager
4 weeks ago
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 Project Leadership & Delivery Lead cross-functional teams in the end-to-end delivery of AI/ML projects, from ideation through deployment and post-launch optimization. Define project scope, goals, success metrics, and deliverables in collaboration with stakeholders. Develop and manage detailed project plans, timelines, budgets, and resource allocations. Stakeholder Management Serve as the primary point of contact for internal business, and IT stakeholders regarding project status, risks, and outcomes. Facilitate regular communication and reporting to executive leadership and Product Owners. Team & Process Management Manage a team of Full Stack Engineers, data scientists, Data & AI Architects, Data Engineers and QA specialists. Implement agile methodologies and best practices to ensure iterative development and continuous improvement. Drive team performance through mentorship, clear objectives, and accountability. Risk & Compliance Identify and mitigate project risks, ensuring compliance with data privacy, security, and ethical AI standards. Collaborate with legal and compliance teams to ensure responsible AI development. Innovation & Strategy Stay current with AI trends, tools, and technologies to inform strategic planning and solution design. Contribute to the firm's AI roadmap and help shape future offerings and capabilities. Qualifications Bachelor's degree in Computer Science, Engineering, Business, or related field (Master's preferred). 7+ years of project management experience in IT or software development, with at least 2 years in AI/ML projects. Proven success managing complex, multi-stakeholder technology initiatives. Strong understanding of AI technologies (e.g., NLP, computer vision, predictive analytics) and their business applications. PMP, PMI-ACP, or similar certification preferred. Excellent communication, leadership, and organizational skills. Preferred Skills Experience with cloud platforms (Azure) and MLOps tools. Familiarity with data governance and Responsible AI frameworks. Ability to remove blockers, mitigate risks, and manage client expectations through excellent written and verbal communications 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.
