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Mindlance

Product Owner - Authorization Processing

Mindlance, Chicago

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Product Owner - Authorization Processing
s the Product Owner of Authorization Processing, you are responsible for planning and delivering on the vision, strategy, and roadmap of the platform. Day-to-day, you will split your time between one of our four sprint teams and our platform's customers within the broader business. You will own the roadmap and our platform's product delivery. You will work with our engineering teams to deliver work flawlessly, and you will work with our customers to make sure that work aligns deeply with their business priorities. You will embrace a customer-centric approach to drive value to our platform's internal and external users.
You will:
Craft and deliver an ongoing product roadmap that furthers the platforms long-term goals and priorities;
Direct, prioritize, and troubleshoot product work across development teams, with a focus on technological problem solving and team engagement;
Manage a diverse set of business stakeholders to generate buy-in, momentum, and excitement for the platform;
Ensure flawless execution and iterative value delivery with your engineering teams.
We are looking for someone with / who has:
well-grounded perspective on our industry and its underlying technology;
Customer focus - across cardholders, business stakeholders, and developers;
Commitment to quality and an ability to dive deep into product problems and decision making;
Positive collaboration with engineering and the ability to facilitate the right technological decisions for the platform and the enterprise;
Exceptional written and verbal communication.
Basic Qualifications:
Bachelor's Degree or military experience
t least 3 years of product management experience or at least 3 years of experience in product design, agile delivery, business analysis, data science, or software engineering
Preferred Qualifications:
Bachelor's Degree in Computer Science or Engineering
2+ years of experience in Agile product management
2+ years of experience in data products