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.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

Benefits

Comprehensive Healthcare Plan - Medical, dental, and vision plans start on day one of employment for full-time teammates.

Educational Assistance - We offer educational assistance to all eligible teammates enrolled in an approved, accredited collegiate program.

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.

Well-Being – Also included in our offering is a Teammate Assistance Program (TAP), Calm Health, Cancer Resources Services, and discount programs – all at no cost to you.

The anticipated salary range for this position is $155,000-$160,000 USD Annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location.

Sr. Data Solutions Architect

Position Summary

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.

Key Responsibilities

Functional Responsibilities

• •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.

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

Reporting & Communication

• •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.

Success Measures

• •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.

Required Qualifications

Education

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

Experience

• •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 ini