AI Operations Analyst

Perforce•Minneapolis, MN

10d•$109,850 - $157,900

About The Position

The AI Operations Analyst at Perforce will be responsible for optimization of the internal tools across the organization. This role will focus on leveraging automation and artificial intelligence to streamline processes, enhance efficiency, and enable scalable growth. You will bring experience in process mapping, a strong grasp of industry trends, and a proven ability to develop system improvements across large-scale teams and environments.

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

Optimization: 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.
Project Leadership: Lead internal AI initiatives, ensuring successful integration into existing systems and workflows. Evaluate and recommend emerging technologies, fostering innovation and competitive differentiation.
Business Practice Scalability: Create central knowledge base for all AI to ensure no duplication and business debt. Solutions are scalable, secure, and efficient to support global operations and future growth. Guide critical decisions for high-impact projects and resolve cross-domain challenges.
Stakeholder Engagement: Work with cross-functional teams to ensure adoption and maximize the impact of implemented solutions. This role bridges the gap between technical teams, business stakeholders, and operations, ensuring the successful execution of AI-driven projects that enhance efficiency, forecasting, automation, and decision-making.
Organizational Readiness: Curate role personas and partner across the enterprise to build AI learning opportunities & showcase use cases. Lead organizational change management. Lead organizational learning initiatives to upskill the enterprise. Enable organization in all things AI. Collaborate with developers, data engineers, and data scientists to deliver project execution goals.
Measurement: 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.
Industry Trends: Keep the corporation abreast of trends in AI and opportunities to create optimization. Bring awareness to the advancements and the long-term direction of these AI technologies in balance with their current state existing capabilities.