6 days ago
AI Operations Analyst
Minneapolis, MN
$109,850-$157,900 / year
full-timemid HybridSoftware
Tech Stack
Description
You will optimize internal tools across the organization by leveraging automation and artificial intelligence to streamline processes, enhance efficiency, and enable scalable growth. This role focuses on developing system improvements across large-scale teams and environments while staying abreast of industry trends.
Requirements
- BS Computer Science, Software Engineering, or related field
- Background in developing AI programs and driving adoption across enterprise platforms such as Microsoft Copilot, Salesforce Agent Force, Gong and related AI tools
- Strong understanding of data models, objects, workflows, and reporting capabilities
- Experience with requirement gathering, process documentation, and translating business needs into technical specifications
- Demonstrated ability to map processes and influence simplification leveraging automation and AI
- Hands on experience creating proof of concepts
- Demonstrated ability to lead through influence in a complex organizational structure and communicate effectively with stakeholders
- Strong track record of driving technical strategy, standards, and cross-functional alignment at scale
- Passion for mentoring, thought leadership, and advancing excellence across the company
- Able to demonstrate leveraging AI effectively and ethically
Responsibilities
- Analyze cross-functional processes to identify opportunities for improvement through automation and AI-driven solutions
- Provide direction to ensure long-term scalability, maintainability, and security of systems
- Lead internal AI initiatives, ensuring successful integration into existing systems and workflows
- Evaluate and recommend emerging technologies, fostering innovation and competitive differentiation
- Create central knowledge base for all AI to ensure no duplication and business debt
- Guide critical decisions for high-impact projects and resolve cross-domain challenges
- Work with cross-functional teams to ensure adoption and maximize the impact of implemented solutions
- Curate role personas and partner across the enterprise to build AI learning opportunities & showcase use cases
- Lead organizational change management and learning initiatives to upskill the enterprise
- Collaborate with developers, data engineers, and data scientists to deliver project execution goals
- Validate optimization and cost savings across the enterprise through implementation and adoption of automation and artificial intelligence
- Ensure existing or proposed AI technologies meet measurement goals and will deliver value to the business
- Keep the corporation abreast of trends in AI and opportunities to create optimization
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