Product Manager in Payment Systems

See below. This person MUST have strong Product Management experience (not project management) specializing in Payment Systems as well as AI & Operations Automation. This person per the manager needs to have proven experience coming into a team blind and being able to make a meaningful impact immediately.

Product Manager in Payment Systems
Location: Dearborn, MI (onsite 4 days a week, 1 remote)
Duration: ongoing long term

Must provide: last 4 of SSN, all degree info

Job Description:
· Project & Program Planning: Develop comprehensive project plans, defining the scope, goals, and deliverables for Pay initiatives in alignment with organizational and product roadmaps.
· AI & Operations Automation: Drive problem-solving and continuous improvement initiatives by leading cross-functional teams to design, implement, and scale AI automation solutions for the operations team, streamlining manual workflows and improving operational efficiency.
· Cross-Functional Facilitation: Facilitate the development effort by creating and monitoring an efficient, streamlined process between internal product/engineering teams and external payment vendors or financial partners.
· Data-Driven Communication: Effectively communicate status updates to stakeholders and leadership across multiple organizations, utilizing configured data and analytics dashboards to provide clear, quantitative measurements of progress.
· Delivery & Execution: Ensure project and program objectives, deliverables, and results are completed within the agreed-upon scope, timeline, budget, and allocated resources.
· Data Configuration & Problem Solving: Provide accurate and insightful analysis by configuring and manipulating data to solve complex operational and transactional problems, presenting this data in clear dashboard formats for executive presentations and reviews.
· Risk & Compliance Mitigation: Identify technical, operational, and financial risks inherent to payment processing, and create robust risk mitigation plans to ensure the timely and secure completion of projects.
· Payment & Checkout Domain Expertise: Serve as a subject matter expert in payments, transactional flows, and customer checkout experiences, ensuring our platform (Stripe) meets industry standards and delivers a frictionless user experience.

Key Responsibilities & Duties:
· Program Planning & Execution: Define scope, timelines, and deliverables for Pay initiatives, ensuring on-time and on-budget delivery.
·AI & Operations Automation: Lead cross-functional teams to design and implement AI-driven automation solutions that optimize manual operations workflows.
· Data Configuration & Problem Solving: Configure and analyze complex operational and transactional data to solve problems and build KPI dashboards.
· Cross-Functional Facilitation: Coordinate seamless collaboration between internal Product, Engineering, and Operations teams and external payment vendors.
· Stakeholder Communication: Deliver clear, quantitative progress reports and status updates to leadership using data-driven insights.
· Risk Mitigation: Identify technical, operational, and financial risks unique to payment processing and execute mitigation plans.
· Payment Domain Expertise: Serve as the subject matter expert on payment systems, transactional flows, and customer checkout experiences.


Skills Required:
Product Management, Automation, Data/Analytics dashboards
· Product Management – Expected to assist with leading the product lifecycle, define user stories and product roadmaps, prioritize the backlog (e.g., in Jira), and collaborate with cross-functional engineering and design teams to deliver high-quality features.
· Automation – Expected to identify manual, repetitive tasks and implement automated workflows (e.g., using Ai tools like Gemeni Pro and LLM) to improve team efficiency.
· Data/Analytics dashboards - Expected to assist with work in progress design suggestions to build, and maintain interactive and user-friendly dashboard (e.g., using Power BI) to track key performance indicators (KPIs) and translate complex datasets into actionable business insights.

Skills Preferred:
· Customer Checkout Customer Checkout - Preferred familiarity with online cart and checkout flows, fraud monitoring, payment gateways, billing systems, digital wallet integrations, and optimizing checkout conversion rates to reduce customer friction.