Recovery AI & Automation PMO (SPX)

AI & Automation Delivery

• Drive the team's AI and automation roadmap, taking use cases from idea to pilot to live, with clear milestones and owners.
• Review current processes step by step to find where AI and automation can improve speed, accuracy, and productivity.
• Scale and continuously improve existing AI solutions, tracking quality and adoption.

Product & Tech Collaboration

• Turn operational pain points into clear requirements, user stories, and test cases for Product and Tech.
• Support the build, testing, and rollout of new systems and features, and track issues through to resolution.

Data & Impact Tracking

• Build dashboards and analyses to track the progress, accuracy, and business impact of each initiative.
• Quantify the benefits of each project (time saved, manpower freed up, cost reduced, recovery improved) and report them to stakeholders.
• Turn data into insights that help the team prevent issues upstream, not just resolve them.

Must-have

• Bachelor's degree in Computer Science, Data Analytics, Industrial Engineering, Business, or a related field.
• 1-3 years of experience in project or program management, product operations, data analytics, or process automation, ideally in logistics or e-commerce.
• Hands-on experience using AI tools (e.g. LLM prompting, AI-assisted workflows) to solve real operational problems.
• Strong analytical skills, with proficiency in Excel/Google Sheets and working knowledge of SQL or a BI tool.
• Ability to turn operational pain points into clear requirements, user stories, and test cases for Product/Tech.
• Strong communication and stakeholder management, from ground Ops to Product and Tech.
• Structured, self-driven, and comfortable with ambiguity and cross-functional work in a fast-paced environment.

Nice-to-have

• Basic Python or scripting skills, or experience with low-code/no-code automation tools.
• Familiarity with APIs, OCR/computer vision, or how ML models are evaluated (accuracy, false positives).
• Experience with system rollouts or UAT for internal workflow or case management tools.
• Exposure in logistics field.