AI Strategist and Execution Analyst

Worldpay•Cincinnati, OH

2d•$79,400 - $116,975•Hybrid

About The Position

Ready to take your career global? Make your mark at one of the biggest names in payments. We’re looking for a AI Strategist and Execution Analyst to join our ever evolving Global Payments team and help shape the future of global commerce.

Requirements

Understanding of AI, automation, analytics, and data-driven solutions, with the ability to translate concepts into business value.
Strong analytical and problem-solving skills, with the ability to structure ambiguous problems and turn them into actionable plans.
Knowledge of financial services, fintech, or payments, including core commercial, operational, and customer metrics.
Proficiency in industry-standard process methodologies, including Agile/Scrum and business analysis techniques.
Ability to work with product, technology, data, and business stakeholders to define requirements, prioritize work, and support delivery.
Strong communication skills, with the ability to explain complex topics clearly to both technical and non-technical audiences.
A bachelor’s degree in business administration, finance, computer science, data science, information systems, or equivalent experience.

Nice To Haves

Experience supporting AI, machine learning, automation, analytics, or digital transformation initiatives.
Familiarity with responsible AI, model governance, data privacy, or risk management principles.
Experience working with data teams, engineers, product managers, or AI/ML specialists to deliver technology-enabled change.
Familiarity with tools such as SQL, Power BI, Python, Jira, Azure, Copilot, or similar analytics and delivery platforms.
Experience in fintech, payments, banking, or another regulated environment.

Responsibilities

Identifying and shaping AI, automation, and data-led opportunities that address business problems, improve customer outcomes, and support product strategy.
Translating strategic priorities into clear use cases, business requirements, success metrics, and implementation roadmaps.
Delivering working product increments to our clients, on time, on budget, and according to agreed quality standards.
Working with product management, technology teams, data teams, stakeholders, peers, and delivery teams to define and prioritise an AI-enabled product backlog.
Supporting the evaluation of AI use cases, including feasibility, value potential, risks, dependencies, and operational impact.
Engaging in Scrum rituals and ceremonies to support iterative delivery, prioritisation, and continuous improvement.
Driving improvements in solution design, business analysis, testing, adoption, and measurement activities.
Partnering with stakeholders to ensure AI-enabled solutions are practical, scalable, responsible, and aligned to business goals.