Sr. Data Solution Architect

Owens & Minor is a global healthcare solutions company providing essential products, services and technology solutions that support care delivery in leading hospitals, health systems and research centers around the world. For over 140 years, Owens & Minor has delivered comfort and confidence behind the scenes, so healthcare stays at the forefront, helping to make each day better for the hospitals, healthcare partners, and communities we serve. Powered by more than 14,000 teammates worldwide, Owens & Minor exists because every day, everywhere, Life Takes Care™. Global Reach with a Local Touch

• 140+ years serving healthcare
• Over 14,000 teammates worldwide
• Serving healthcare partners in 80 countries
• Manufacturing facilities in the U.Portfolio of 300 propriety and branded product offerings
• 1,000 branded medical product suppliers
• 4,000 healthcare partners served

Comprehensive Healthcare Plan - Medical, dental, and vision plans start on day one of employment for full-time teammates. Employer-Paid Life Insurance and Disability - We offer employer-paid life insurance and disability coverage. Voluntary Supplemental Programs – We offer additional options to secure your financial future including supplemental life, hospitalization, critical illness, and other insurance programs. Support for your Growing Family – Adoption assistance, fertility benefits (in medical plan) and parental leave are available for teammates planning for a family. Health Savings Account (HSA) and 401(k) - We offer these voluntary financial programs to help teammates prepare for their future, as well as other voluntary benefits. Paid Leave - In addition to sick days and short-term leave, we offer holidays, vacation days, personal days, and additional types of leave – including parental leave. Data Solutions Architect Data Solutions Architect is responsible for designing and advancing Owens & Minor's enterprise data and artificial intelligence architecture to enable scalable, secure, and business-driven solutions. This role partners closely with business leaders, data engineers, application teams, security, infrastructure, and analytics stakeholders to define and implement modern data platforms, AI capabilities, and integration strategies that accelerate decision-making and operational excellence. The ideal candidate combines deep expertise in data architecture, cloud platforms, AI technologies, and enterprise integration patterns with strong leadership and communication skills. This individual serves as a strategic advisor and technical leader, ensuring technology investments aligning with business priorities while establishing scalable architectural standards and governance practices. The successful candidate is expected to actively participate in solution design, architecture validation, proof-of-concept development, technical troubleshooting, and implementation activities. The architect must be comfortable rolling up their sleeves, working alongside engineers, reviewing code and design patterns, validating technical approaches, and helping teams deliver production-ready solutions. Design end-to-end enterprise data and AI solution architectures. Define architecture patterns for data ingestion, transformation, storage, analytics, machine learning, and generative AI use cases. Establish scalable and reusable architecture standards across platforms and technologies. Lead technical evaluations and recommendations for data, AI, and integration technologies. Actively contribute to the design and implementation of enterprise data and AI solutions. Develop prototypes, proofs of concept, and reference implementations to validate architectural approaches and emerging technologies. Perform hands-on architecture validation, solution reviews, and technical troubleshooting throughout the software delivery lifecycle. Provide architectural leadership through delivery, demonstrating best practices in cloud platforms, data engineering, integration, automation, AI, and DevOps. Maintain current hands-on expertise with modern data and AI technologies including Snowflake, Azure, Databricks, Microsoft Fabric, AI platforms, and integration frameworks. Governance, Risk & Compliance Establish architectural governance frameworks for data and AI solutions. Ensure alignment with privacy, security, regulatory, and compliance requirements. Define standards for data lineage, metadata management, model governance, and AI transparency. Identify and mitigate architectural, operational, and cybersecurity risks. Develop executive-level architecture presentations and recommendations. Present architecture roadmaps, risks, trade-offs, and investment recommendations. Establish enterprise architecture standards for data and AI solutions. Accelerate delivery of enterprise data and AI capabilities through practical architecture guidance and hands-on problem solving.

• Create an execute roadmap for AI-based self-serve analytics
• Increase adoption of enterprise data platforms and AI capabilities.

Improve consistency and governance across data and analytics ecosystems. Demonstrate measurable business value from AI and advanced analytics initiatives. Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field. 10+ years of experience in data architecture, enterprise architecture, analytics platforms, or software engineering.

• 3+ years of experience designing AI, machine learning, or advanced analytics solutions.
• Experience defining Enterprise AI strategies and governance programs.
• Experience with Generative AI, LLMs, RAG architectures, AI agents, and AI orchestration frameworks.
• Experience with cloud-native architecture and modern data platforms.
• Experience leading large-scale cloud transformation initiatives.

Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or related field. Microsoft Azure Solutions Architect Expert Microsoft Azure AI Engineer Associate Databricks Data Engineer or Data Architect Certification AWS Certified Solutions Architect Data Architecture and Modeling Data Warehousing and Lakehouse Architecture Data Integration and ETL/ELT Architecture Cloud Platforms (Azure preferred) Microsoft Fabric MLOps and AI Governance Platforms Power BI Master Data Management Data Governance and Metadata Management Python DevOps and CI/CD Informatica IDMC SQL and Data Engineering Concepts AI and Machine Learning Fundamentals Databricks Vector Databases and Semantic Search Medical Distribution Data & Analytics Artificial Intelligence Digital Transformation This position will accept applications on an ongoing basis. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, sexual orientation, genetic information, religion, disability, age, status as a veteran, or any other status prohibited by applicable national, federal, state or local law.