Listing evidence and provenance
- Source
- Workday View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 5, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Renewable Energy Development
- Pay provenance
- Employer-provided pay
Job Description
Position Overview The Manager, Applied AI (Enterprise Analytics & AI) is responsible for leveraging enterprise AI tools and platforms to design, build, and deploy practical AI solutions that deliver measurable business impact across the organization.
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.
- 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.
Ready to Apply?
Apply directly on Invenergy's site
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