Business Solutions Specialist

WEX•Maine, NY
•$71,200 - $84,900

About The Position

The Business Solutions Specialist serves as a technical architect and automation lead within one or more domain areas of Global Risk Operations. The role uses enterprise-approved tools, including Tableau, Python, SQL, and robotic process automation, to modernize legacy workflows and deliver scalable, audit-ready automation. It acts as a change agent for continuous improvement of the department’s technical and automation capabilities, with success measured by operational scale, efficiency and impact, and integrity and compliance. The position engineers automated, self-service replacements for manual processes; builds and maintains infrastructure for financial risk workflows; and explores AI-driven technologies to reduce manual work. It also turns raw data into predictive insights, develops standardized self-service reporting environments, and creates solutions to reduce costs and operational risks. The role tracks operational work, volumes, and turnaround times; administers departmental KPIs, dashboards, and scheduled and ad-hoc reporting; and educates colleagues on applications and automation. It maintains data integrity and regulatory and audit compliance, administers reports and version control, and ensures self-service tools include error handling and audit trails.

Requirements

  • Bachelor’s degree in a quantitative field such as Computer Science, Data Analytics, or Finance, or an equivalent combination of education and relevant technical experience.
  • 2–4 years of experience in a Finance or Risk Operations environment.
  • Foundational understanding of SOX or similar regulatory frameworks.
  • Demonstrated success converting manual processes into automated, scalable workflows.
  • Proficiency in complex joins and ETL processes.
  • Intermediate Python proficiency, specifically using Pandas and NumPy for data manipulation.
  • Hands-on experience with enterprise RPA platforms such as UiPath or Power Automate.
  • Intermediate or better SQL and Oracle database experience, including working with large data sets.
  • Must successfully pass a background investigation.
  • Strong analytical, troubleshooting, logical reasoning, and problem-solving skills, with the ability to provide clear direction and explanations.
  • Ability to operate effectively and calmly in a complex, fast-paced, changing environment.
  • Self-motivated, solution-oriented, and results-driven approach.
  • Effective verbal and written communication skills.
  • Strong time management, prioritization, goal-setting, planning, and work-scheduling skills.
  • Strong critical thinking and problem-solving skills.
  • Attention to detail and ability to recognize and respond to discrepancies.

Nice To Haves

  • Experience with prompt engineering and building RAG systems or using LLM APIs to enhance automation.
  • SAS programming skills.
  • Experience interpreting contractual terms.
  • Knowledge of WEX systems and business processes.
  • Professional curiosity and a systems-thinking approach to problem-solving.

Responsibilities

  • Identify manual bottlenecks and engineer automated, self-service replacements that meet enterprise technical standards.
  • Build and maintain technical infrastructure for automated financial risk workflows across assigned regions.
  • Integrate AI-driven technologies to reduce manual touchpoints and support scalable operations.
  • Drive technical evolution through strategic thinking and process re-engineering.
  • Transform raw data into strategic assets and provide predictive insights to stakeholders.
  • Develop and manage standardized reporting environments, including Power BI and Tableau, that provide real-time data and maintain a single source of truth.
  • Design and deploy technical solutions to produce measurable cost savings and mitigate operational risks.
  • Analyze trends to identify emerging issues and provide management with clear, data-backed direction.
  • Implement processes and reporting to track work items, volumes, and turnaround times and accurately capture operational data.
  • Oversee departmental reporting, including KPIs, management dashboards, and scheduled and ad-hoc reporting.
  • Educate the team on applications and automation technology and deliver sustainable alternatives to manual processes.
  • Maintain data integrity and ensure automated reports and workflows comply with regulatory and internal audit standards.
  • Administer reports and version control to preserve the reliability and longevity of deployed solutions.
  • Build self-service tools with robust error handling and audit trails to prevent operational drift.

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Retirement savings plan
  • Paid time off
  • Health savings account
  • Flexible spending accounts
  • Life insurance
  • Disability insurance
  • Tuition reimbursement
  • Potential quarterly or annual bonus eligibility for non-sales roles
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service