Sr. Project Manager

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

• Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

• Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

• Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

• Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

• Core Knowledge & Skills: Demonstrates strong command of project management standards, contract compliance, and delivery excellence. Skilled in risk management, financial tracking, and project planning.

• Work & Complexity: Leads projects from initiation to close, manages deliverables, tracks milestones, and ensures client acceptance. Proactively identifies and addresses risks and issues.

• Quality & Independence: Ensures high-quality outcomes, operates with autonomy, and drives continuous improvement in project delivery.

• Teamwork & Communication: Builds positive relationships with clients, delivery teams, and stakeholders. Coaches and mentors team members to achieve project success.

• Consulting & Engagement: Provides expert guidance on project management practices, promotes client satisfaction, and identifies opportunities for process and service enhancements.

We're looking for a Senior Project Manager with experience leading AI Solutions and project initiatives, ideally within the utilities or energy sector. 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

As an AIS People Manager, your responsibilities will include:

• Coaching: Helping employees navigate challenges, strengthen relationships, and grow the skills that support success at AIS.

• Career Development: Supporting employees in exploring growth opportunities at AIS and aligning development plans to reach their goals.

• Performance Management: Creating clarity through clear expectations, regular feedback, and proactive support when performance concerns arise.

• Accountability and Results: Holding employees accountable for meeting expectations, delivering results, and adhering to company policies and values.

• Promotions and Compensation: Partnering with HR to evaluate and recommend promotions, salary adjustments, and rewards that reflect performance and potential.

• Timecard Approval: Ensuring accurate and timely approval of timecards.

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.