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.
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.
Top Skills
What We Do
The best run DevOps teams in the world choose Perforce to remove bottlenecks to speed up and deliver app experiences that move the needle. With Perforce’s suite of products built to develop and maintain high-stakes applications, companies can finally manage complexity with efficiency, achieve speed without compromise, and run their DevOps toolchains with full integrity. Perforce gives customers a DevOps Edge, from code to business-ready.
But at the heart of our success is the people. We are a global community of collaborative experts, problem solvers, and possibility seekers who believe in making work both challenging and fun. Join us and you’ll work alongside the brightest in the business, driving innovation and growing in a career that’s moving in one direction: upward!







