Technical Analyst IV - Systems Integration

BOK Financial•Tulsa, OK

18h

About The Position

The Technical Analyst IV on the Systems Integration team helps shape enterprise API integration by turning business and technical requirements into reliable, customer-centric API products. The role partners closely with business, product, and engineering teams to move API capabilities from discovery through release, improve design and security, support API adoption, and make integrations more reliable. The analyst also contributes to developer-friendly documentation and self-service, maintains traceable delivery knowledge, and mentors teammates. The team uses Agile practices and AI-enabled delivery methods, and expects the analyst to learn new domains and tools, work effectively through uncertainty, and focus on outcomes, risk management, and collaboration.

Requirements

Bachelor’s degree in information technology, computer science, or a related field, or an equivalent combination of education and experience.
At least 5 years of directly related experience in Technical Analysis, Data Analytics, or Bank Operations, or equivalent education and experience.
Strong business analysis and problem-solving skills, including the ability to break down ambiguous problems, uncover assumptions and gaps, and translate complexity into clear requirements and outcomes.
Systems-thinking ability to understand business processes, APIs, applications, data flows, and dependencies and assess how changes affect the broader ecosystem.
Ability to create clear, structured, and traceable context connecting business needs, requirements, rules, decisions, dependencies, and acceptance criteria.
Demonstrated experience translating complex business and technical needs into functional requirements, business rules, user stories, acceptance criteria, process and data flows, and solution documentation.
Hands-on experience with APIs and integrations, including interpreting API specifications, request and response payloads, status codes, error messages, and integration behaviors.
Experience with source-to-target data mapping, transformations, validation rules, and data requirements across integrated systems.
Experience triaging integration issues, identifying root causes and dependencies, and working with engineering teams, external vendors, and partner teams to resolve issues.
Demonstrated experience using generative AI or AI-assisted tools for analysis, research, documentation, requirements development, or problem-solving, with the ability to validate outputs and exercise independent judgment.
High ownership, learning agility, ability to work through uncertainty, and accountability for outcomes.
Ability to collaborate across product and engineering teams and quickly learn new business domains and technologies.

Nice To Haves

Demonstrated capability and learning agility are highly valued.
Experience working with AI agents or AI-assisted delivery workflows.

Responsibilities

Partner with the Technical Product Owner, Technical Analysts, lines of business, engineering teams, and stakeholders to shape and deliver API capabilities aligned with product priorities and roadmaps.
Translate business and technical needs into reusable requirements, business rules, API behaviors, dependencies, user stories, and acceptance criteria.
Facilitate discovery and refinement to clarify solution intent, surface ambiguity, and align teams before development begins.
Analyze API, system, data, and cross-system dependencies; identify gaps and help teams evaluate tradeoffs involving value, experience, architecture, risk, and delivery speed.
Validate requirements and solution behavior with product and engineering teams throughout the delivery lifecycle, from discovery through release.
Support adoption of enterprise APIs and integration into applications and platforms.
Apply enterprise standards, architecture methodology, and service-oriented policies to promote consistent, safe, and predictable API scaling.
Support discoverability and self-service by helping teams find documentation, understand APIs, and integrate confidently.
Keep requirements, decisions, and solution knowledge current, traceable, and reusable as they evolve.
Mentor other analysts and help advance modern, AI-enabled ways of working.
Use AI and agents to accelerate analysis and delivery while validating outputs, challenging assumptions, and identifying risks or missing context.