AI Innovation Specialist

Process Improvement Mindset: Naturally identifies inefficiencies and approaches problems with a systematic view toward optimization and automation opportunities across diverse business functions. AI & Automation Expertise: Hands-on experience with modern automation tools and emerging AI technologies. Comfortable evaluating and implementing solutions ranging from simple scripts to sophisticated AI-powered workflows. Technical Integration Expertise: Comfortable working with APIs, webhooks, and system integrations to connect tools and create seamless automated workflows across multiple platforms and departments. Orchestration & Workflow Design: Experience with modern orchestration tools (Zapier, n8n, Make, or similar) and the ability to design complex multi-step automations that handle edge cases and error scenarios. Engineering Collaboration: Ability to work closely with engineering teams, understand technical constraints, and bridge the gap between business requirements and technical implementation. Technical Proficiency: Strong skills in Python, SQL, and API integration. Experience with workflow automation platforms, cloud services, and data pipeline tools is essential. Communication & Change Management: Skilled at explaining technical solutions to non-technical stakeholders and driving adoption of new processes across resistant or skeptical teams. Business Impact Prioritization: Use measurable business outcomes like cost savings, productivity gains, and improved employee satisfaction to prioritize the roadmap. Adaptability: Thrives in a dynamic environment where priorities shift and new automation opportunities emerge regularly.

Partner with department leaders across the organization to identify manual processes, workflow bottlenecks, and opportunities for automation that can reduce workload and improve efficiency. Build and implement automated solutions using modern tools, scripts, and AI-enhanced processes to streamline operations across multiple business functions. Develop dashboards, monitoring systems, and alerting tools that provide real-time visibility into process performance and identify areas for continuous improvement. Design and deploy AI-powered automation solutions that can handle complex decision-making, data processing, and workflow management tasks. Build and maintain API integrations that connect disparate tools and systems, creating seamless data flows and automated workflows across the organization. Implement modern orchestration platforms (such as Zapier, n8n, or similar) to create sophisticated multi-step automations that span multiple systems and departments. Create documentation, training materials, and best practices to ensure successful adoption of automated processes across teams. Collaborate with engineering teams and external vendors to integrate automation tools with existing systems and ensure scalable, maintainable solutions. Measure and report on the impact of automation initiatives, tracking metrics like time saved, error reduction, and team productivity improvements. Train the team and evangelize how to use these systems to self-serve frequent issues