Data Architect

Overview

Owens & Minor 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 proprietary 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.
• 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 $113,400 - $210,600 USD Annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location

We are seeking a hands-on Lead Data Architect to define and drive Q Sight’s unified data strategy across Vision, Insight AI, and Community. This role will establish the target enterprise data architecture, data governance model, and interoperability standards that enable trusted analytics and AI outcomes across the organization.

The Lead Data Architect will be the connective tissue across QSight’s data ecosystem—partnering closely with the Palantir/Foundry team, Snowflake, and Google Cloud SQL stakeholders to ensure a scalable, secure, and consistent approach to data modeling, integration, quality, and operational readiness. This role succeeds through cross-team leadership, influence, and targeted hands-on delivery when needed to set direction, validate patterns, and accelerate adoption.

• Define and execute an enterprise-wide data strategy that aligns QSight’s Vision, Insight AI, and Community platforms to measurable business outcomes.
• Establish and maintain the target data architecture and reference patterns for how data is sourced, standardized, governed, and delivered across QSight products.
• Architect a unified ecosystem that connects disparate healthcare and supply chain systems (EHR, ERP, WMS, POU, GPO, EDI) into a coherent, interoperable platform with consistent semantics.
• Position and integrate Snowflake as a core component of the ecosystem (enterprise analytics platform), including standards for curated and consumable data structures, governed sharing and access patterns, workload isolation and scalability, cost/performance optimization approaches.
• Partner with the Palantir/Foundry team to ensure alignment between enterprise architecture standards and Foundry implementation patterns (data onboarding, semantic/ontology alignment, and…