Manager, AI Solutions & Analytics - Battery Storage
New
Flexible, work from home or hybrid work from Plus Power’s offices in San Francisco, Houston, Chicago, Seattle, New York, Palm Beach and Birmingham.Full-TimeManager
SalaryThe expected salary range* for this position begins at $120,000.
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Job Details
- Experience
- 6-10 years
- Required Skills
- PythonSQLArtificial IntelligenceBusiness IntelligenceSnowflake
Requirements
- Minimum BA/BS in economics, data science, computer science, business, or related field.
- 6-10 years of experience in analytics, business intelligence, automation, technology or data-focused role.
- Experience building agentic AI solutions, including deploying agents and orchestrating multi-step workflows.
- Experience driving adoption of new technologies in a cross-functional business environment.
- Experience translating ambiguous business problems into practical workflows or scaled processes.
- Experience establishing governance, standards, and guardrails for analytics or AI-enabled workflows.
- Advanced experience with enterprise AI platforms such as Microsoft Copilot Studio, Perplexity AI, and Claude.
- Advanced experience with modern data and analytics platforms including Microsoft Fabric, Azure Databricks, AWS, and Snowflake.
- Advanced experience with SQL, Python, or other data analysis tools.
- Advanced proficiency in the Microsoft suite of tools including Outlook, Word, PowerPoint, and Excel.
- Prior experience in energy is preferred.
Responsibilities
- Drive implementation of Plus Power’s AI operating model by building organizational capability and supporting adoption.
- Define and reinforce AI standards, guardrails, and usage patterns to promote consistency and quality.
- Partner with stakeholders to assess, prioritize, and implement AI opportunities with meaningful business impact.
- Design, develop, and support AI-enabled workflows, including copilots, agents, and human-in-the-loop processes.
- Facilitate the transition from experimentation to scale by embedding AI solutions into durable business processes.
- Contribute to analytics and operational intelligence initiatives, measuring AI adoption and solution effectiveness.
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