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Elavon

Global payment processing for businesses

Operations AI Strategist

Business OperationsConfirmed live in the last 24 hours
Full-timeWarsaw, PolandNo salary listed

About the Job

Requirements

  • At least 10 years of experience in payments, financial operations, decisioning, strategy, or transformation within financial services, including enterprise or multi-region leadership in operational environments.
  • Expertise in decision science, risk-based decisioning, and applied AI, including generative AI, agentic AI, enterprise AI platforms, vendor ecosystems, and AI-enabled operational decisioning.
  • Experience defining or operating AI governance, operational risk, autonomy threshold, or human-in-the-loop control frameworks, ensuring AI-enabled decisions are controlled, auditable, and aligned with regulatory and risk expectations.
  • Awareness of emerging AI governance across the EU and US is desired.
  • Ability to assess opportunities, evaluate value, balance risk and reward, and translate complex operational, technology, risk, and AI topics into clear business decisions and executive recommendations.
  • Ability to influence and align senior stakeholders across Product, Technology, Risk, Compliance, and Operations, navigating governance, investment, prioritization, and implementation decisions in a matrixed environment.
  • Demonstrated success leading enterprise transformation through influence, driving AI adoption, operating model evolution, workforce readiness, and capability development across global, matrixed organizations.
  • Experience acting as the business owner for AI-enabled decisioning, defining priorities, shaping roadmaps, establishing success measures, and ensuring solutions deliver commercial value while balancing customer, compliance, and control outcomes.

Responsibilities

  • Own the AI and agentic decisioning strategy across PMI Operations, translating business priorities into a portfolio spanning merchant servicing and onboarding, disputes, digital self-service, client growth and retention, and transaction operations.
  • Define the AI autonomy framework, including autonomy levels, confidence thresholds, approval and override rules, escalation paths, exception handling, and progression from human-led to AI-led processing.
  • Turn operational judgment into decisioning logic, using quality findings, escalations, fallbacks, and exception patterns to refine decision rules, workflows, and the AI roadmap.
  • Shape the AI-enabled digital self-service strategy, improving intent capture, IVR containment, deflection, and routing while protecting customer experience, retention, and commercial outcomes.
  • Own the AI portfolio and value realization framework, defining success measures, tracking impact across revenue, retention, leakage, cost-to-serve, quality, cycle time, straight-through processing, and automation coverage, driving reuse across regions, and recommending where solutions should scale, evolve, pause, or stop.
  • Benchmark AI against human decisioning to determine where autonomy should expand, tighten, or change based on commercial, customer, operational, and control outcomes.
  • Champion responsible AI and lead governance, ensuring decisions remain explainable, monitored for bias and drift, audit-ready, and appropriately escalated, while guiding use cases through enterprise AI intake, compliance, inventory registry, model risk, technology, and business change processes.
  • Define the blended human-AI operating model and workforce readiness, setting adoption expectations, clarifying how teams supervise and improve AI-enabled work, partnering with Talent and Global L&D on roles and skills, and shaping how AI-agent transactions, evidence standards, and accountability are managed in emerging workflows.
  • Set the AI agenda and portfolio priorities for PMI Operations, linking investment decisions to customer, commercial, operational, workforce, risk, and control outcomes.
  • Define where AI should assist, recommend, process, or decide, including the level of autonomy and human oversight.
  • Establish the framework for safely progressing from AI-assisted to human-supervised and, where appropriate, AI-led operations.
  • Represent the PMI Operations AI agenda in enterprise and business-line governance forums.
  • Define how people and AI work together, including the capabilities, roles, and adoption measures required for a blended workforce.

About the Company

Elavon

Global payment processing for businesses

Elavon provides payment processing services for online, mobile, and in-person transactions. It powers fast, secure payment experiences for customers tapping, inserting, or swiping and supports processing across 36 countries in 131 currencies. With over 30 years in the business, Elavon serves more than 1.5 million customers and processes billions of transactions annually, backed by U.S. Bank. Its offerings include software and services that integrate with point-of-sale systems and online checkout, enabling merchants to accept cards, digital wallets, and other payment methods while managing security, fraud protection, and reporting. The company differentiates itself through its global scale, strong banking partnerships, multilingual 24/7 support, and industry-specific, tailored solutions. Elavon’s goal is to help businesses grow revenue and strengthen customer satisfaction by delivering reliable, customized payment experiences that fit their industry needs.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Atlanta, GA
Founded
1991

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