Manager, AI Solutions & Analytics
New
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Plus PowerEnergy Storage
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
SalaryAt least 120,000 USD per year
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Job Details
- Experience
- 6-10 years
- Required Skills
- AWSPythonSQLSnowflake
Requirements
- 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 in a business environment.
- Experience driving adoption of new technologies in a cross-functional business environment.
- Experience translating ambiguous business problems into practical workflows.
- Experience establishing governance, standards, and guardrails for analytics or AI.
- Advanced experience with enterprise AI platforms including 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.
- Strong change management and stakeholder engagement skills.
Responsibilities
- Drive implementation of Plus Power’s AI operating model by building organizational capability, supporting adoption, and enabling responsible use of AI across the business.
- Build organizational capability for AI through training, guidance, reusable patterns, and practical support.
- Define and reinforce AI standards, guardrails, and usage patterns.
- Partner with leaders and cross-functional stakeholders to assess, prioritize, and implement AI opportunities.
- Design, develop, and support AI-enabled solutions and workflows, including copilots, agents, prompt-based workflows, and human-in-the-loop processes.
- Facilitate the transition from experimentation to scale by identifying high-value use cases and embedding AI solutions into durable business processes.
- Contribute to analytics, reporting, and operational intelligence priorities.
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