Manager, Applied AI

Invenergy • Chicago, IL

1d • $134,000 - $155,000 • Hybrid

About The Position

The Manager, Applied AI (Enterprise Analytics & AI) leverages enterprise AI tools and platforms to design, build, and deploy practical AI solutions that deliver measurable business impact across the organization. The role works hands-on with individuals and teams to understand their needs, build low-code AI agents and other custom solutions, and enable teams to integrate AI effectively and responsibly into their workflows.

This position serves as an organizational subject-matter expert on enterprise AI platforms, including their capabilities, limitations, and best practices. It leads the co-development of AI agents and other AI solutions while fostering responsible AI use and self-sufficiency across the organization. The role manages one or more employees supporting AI adoption.

Invenergy follows a hybrid schedule, working in the office Monday through Thursday and remotely on Fridays if work permits.

Requirements

• Bachelor's degree in a technical or quantitative field such as computer science, information systems, engineering, data science, or a related discipline.
• 8+ years of experience within the industry or in a technology function, with significant achievements and upward growth.
• Demonstrated experience designing, building, or managing AI agents or similar AI-driven solutions.
• Strong familiarity with the Microsoft ecosystem, including Microsoft 365 and AI-enabled productivity tools.
• Prior experience leading, mentoring, or managing direct reports, or demonstrated readiness to step into a people leadership role.
• Ability to communicate complex technical concepts clearly to non-technical audiences, including presenting to senior leadership.
• Strong independent time-management and project-management skills, with the ability to manage multiple initiatives simultaneously.
• Proven ability to collaborate effectively across business, technical, and enablement teams.
• High level of curiosity, enthusiasm for emerging technologies, and a continuous-learning mindset.

Nice To Haves

• Experience managing employees in a technology function.
• Direct, hands-on experience with Microsoft Copilot Studio, including designing and deploying enterprise AI agents or low-code AI solutions.
• Experience supporting enterprise technology adoption, enablement, or change initiatives.
• Experience developing or delivering technical training or learning content for broad employee audiences.
• Familiarity with responsible AI practices, governance, security, or compliance considerations in an enterprise environment.
• Experience partnering with data science, analytics, or engineering teams to translate advanced AI capabilities into user-facing solutions.
• Exposure to Microsoft Power Platform, Azure AI services, Databricks, or related tools that complement enterprise AI solutions.
• Proficiency in coding languages such as Python or SQL.

Responsibilities

• Design, build, deploy, and manage low-code AI agents and other complex custom AI solutions, such as multi-agent systems or advanced process automation, in partnership with business teams.
• Engage business teams one-on-one and in small groups to understand workflows, identify AI opportunities, and co-develop effective, responsible solutions.
• Maintain deep familiarity with the capabilities, limitations, and evolving features of the organization's enterprise AI platforms.
• Oversee evaluations of third-party AI software applications, assessing organizational fit, capability, security, and responsible AI considerations, and provide recommendations for Business Operations decisions.
• Monitor and analyze organizational AI usage and adoption data; identify trends, gaps, and opportunities; and recommend actions to improve utilization and impact.
• Partner with Talent Development to design, deliver, and improve training content and guidelines that support effective, responsible AI use and self-service adoption.
• Stay current on emerging AI capabilities and platform updates, and recommend relevant features and solutions.
• Collaborate with Enterprise Analytics & AI data scientists, data engineers, and analytics teams to align end-user AI solutions with broader AI initiatives.
• Manage one or more employees supporting AI adoption functions.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k)
• Paid time off
• Eligibility to participate in bonus programs designed to reward individual and company performance

What This Job Offers

• Job Type: Full-time
• Career Level: Manager