Director of Enterprise Architecture

OneSource Virtual (OSV) has helped more than 1,000 Workday customers take their teams from transactional to transformational with innovative technology and services for HR, payroll, and finance. Founded in 2008, OSV is the leading exclusive provider of Business-Process-as-a-Service (BPaaS) solutions for Workday, delivering services with unparalleled choice, unwavering commitment, and uncompromising support. OneSource Virtual's global headquarters is located in Dallas, Texas, with additional locations across North America and Europe. Find your company's solution at www.onesourcevirtual.com. Position Summary OneSource Virtual is seeking a Director of Enterprise Architecture to lead technology design and implementation across our Payment and Tax product lines. The ideal candidate combines deep enterprise architecture experience with hands-on fluency in AI-assisted development practices. This leader will set the architectural direction for a high-velocity engineering organization that processes over $200 billion in compliant payments annually, and will play a central role in advancing our AI-first development culture across 90+ engineers. Essential Functions & Responsibilities Architecture & Technical Leadership • Design, document, and guide implementation of technology solutions across multi-team development projects in an agile environment • Own the enterprise architecture roadmap for Payment and Tax platforms, including cloud, hybrid, and on-premise components • Architect systems that are AI-consumable by design — APIs, data contracts, and schemas structured to serve as effective context for LLM-driven processes and agentic workflows • Lead DR/COB design, testing, and continuous improvement across critical payment infrastructure • Design and oversee data movement, ETL/ELT pipelines, and conversion strategies • Troubleshoot and resolve service-level, critical system, and architectural issues AI-First Development Leadership • Define and govern standards for AI-assisted development across engineering teams, including coding assistant usage, prompt engineering norms, and code review practices for AI-generated output • Evaluate, recommend, and operationalize AI developer tooling — including coding assistants (e.g., Claude, Cursor, Copilot), agent frameworks, and MCP (Model Context Protocol) integrations • Architect AI-augmented data access, reporting, and analytics patterns that enhance or replace traditional BI and ETL workflows • Design and oversee agentic or automated workflows within payment and tax processing pipelines • Partner with the CTO to define AI adoption metrics, measure productivity impact, and guide competitive positioning of the development team's AI capabilities Team Enablement & Collaboration • Provide architecture and domain guidance to development teams during user story breakdown and sprint planning • Coach, mentor, and train developers and architects on both technical and process dimensions, with emphasis on modern AI-assisted development practices • Translate complex business requirements from non-technical stakeholders into clear, high-level technical solution designs • Collaborate with data science, analytics, and IT infrastructure teams on cross-cutting technical and solution design • Instruct and align developers, architects, and teams on architecture decisions and standards Core Competencies • Cloud, hybrid, and on-premise infrastructure design and governance • Modern full-stack architecture — UI, application, data, and reporting layers • AI-native development practices: LLM tooling, agentic design, prompt-driven system architecture • Data engineering: ETL/ELT, data movement, conversion, and AI-augmented data access patterns • Agile software development methods, story breakdown, and cross-team coordination • Development environment design, CI/CD, and testing infrastructure • Stakeholder communication: translating business requirements into actionable technical designs • Technical coaching, mentoring, and architecture governance Required Qualifications & Experience • 7+ years of experience as an enterprise architect, application architect, or engineering product leader • Demonstrated experience designing and guiding implementation of multi-team development projects • Proven track record in agile software development environments • Experience with financial payment systems, including integration to bank systems, ACH/NACHA processing, or tax authorities • Experience with digital payments, payroll technology, or FinTech products • Hands-on experience with AI developer tools (e.g., Claude, Cursor, GitHub Copilot, or equivalent) and integrating them into team workflows — not just awareness, but actual daily use • Ability to define and enforce standards for AI-generated code quality, review practices, and responsible use Preferred • Experience with LLM APIs and prompt-based or agentic system design • Familiarity with MCP (Model Context Protocol) or similar agent-tool integrat