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™.

• 140+ years serving healthcare

• Over 14,000 teammates worldwide

• Serving healthcare partners in 80 countries

• Manufacturing facilities in the U.S., Honduras, Mexico, Thailand and Ireland

• 40+ distribution centers

• Portfolio of 300 propriety and branded product offerings

• 1,000 branded medical product suppliers

• 4,000 healthcare partners served

The Sr. 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. Success in this role requires balancing strategic architecture leadership with meaningful hands-on technical execution.

• →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.
• →Partner directly with engineering teams to solve complex technical challenges and remove delivery roadblocks.
• →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.

• →Provide architectural oversight for strategic initiatives and major technology investments.
• →Actively lead design reviews and ensure adherence to enterprise architecture standards.
• →Collaborate with engineering teams to translate architectural designs into implementable solutions.

• 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.
• Maintain architecture documentation, reference models, and technical standards.

• Develop executive-level architecture presentations and recommendations.
• Communicate technical concepts effectively to both technical and non-technical audiences.
• Present architecture roadmaps, risks, trade-offs, and investment recommendations.
• Provide regular updates on strategic initiatives, architecture reviews, and innovation opportunities.

• Establish enterprise architecture standards for data and AI solutions.
• Deliver scalable architecture designs supporting strategic business initiatives.

• 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

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• 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.
• Reduce architectural complexity through standardization and modernization efforts.

• Build credibility with engineering teams through technical leadership and direct contribution to successful solution delivery.

• Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or related field.
• Experience in healthcare, distribution, supply chain, or regulated industries.

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field.
• Equivalent combination of education and experience may be considered.

• 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.
• Demonstrated success leading complex enterprise technology initiatives.
• Experience working across multiple business functions and stakeholder groups.
• Experience with cloud-native architecture and modern data platforms.
• Experience leading large-scale cloud transformation initiatives.

• Snowflake SnowPro Advanced Certification
• Microsoft Azure Solutions Architect Expert
• Microsoft Azure AI Engineer Associate
• Databricks Data Engineer or Data Architect Certification
• AWS Certified Solutions Architect
• TOGAF Certification

• Databricks
• Vector Databases and Semantic Search
• RAG Architecture Design
• Knowledge Graphs

• Data Architecture and Modeling
• Data Warehousing and Lakehouse Architecture
• Data Integration and ETL/ELT Architecture
• Cloud Platforms (Azure preferred)
• Snowflake
• Candidates should have hands-on experience with at least one or more: (Claude Enterprise, OpenAI / Azure OpenAI, Cortex)
• Microsoft Fabric
• Sematic Model creation
• MLOps and AI Governance Platforms
• Power BI
• Master Data Management
• API and Event-Driven Architectures
• Data Governance and Metadata Management
• Python
• DevOps and CI/CD
• Informatica IDMC
• SQL and Data Engineering Concepts
• Enterprise Solution Architecture
• AI and Machine Learning Fundamentals

Preference may be given to candidates with experience in:

• Healthcare
• Medical Distribution
• Supply Chain
• Logistics
• Manufacturing
• Technology
• Data & Analytics
• Artificial Intelligence
• Digital Transformation

If you feel this opportunity could be the next step in your career, we encourage you to apply. This position will accept applications on an ongoing basis.

Owens & Minor is an Equal Opportunity Employer. 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.