Job Description
The Lead Data Architect (Ontology) defines and governs the unified data model that connects Commercial, Operations, and Innovation data into one coherent structure. This role ensures the business owns its data logic and business definitions as core intellectual property, rather than outsourcing critical data meaning to external partners. You will translate how the organization actually operates into durable technical architecture—resolving entity relationships across SAP ECC, Salesforce, and a complex legacy application landscape—so downstream analytics, AI use cases, and operational systems can rely on consistent, trusted definitions. You’ll be expected to make opinionated design decisions under ambiguity and collaborate with external platform partners as a peer.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Senior-level experience as a Data Architect, Enterprise Data Modeler, or Principal Engineer.
• Deep experience working across ERP (SAP ECC), CRM (Salesforce), and complex legacy systems.
• Strong expertise in data modeling (conceptual, logical, physical) and enterprise data architecture.
• Experience with master data, entity resolution, hierarchies, and data lineage.
• Proven ability to operate in ambiguous, messy enterprise environments with incomplete data and documentation.
• Strong business acumen—able to translate operations into data structures and definitions.
• Experience influencing and collaborating with external vendors/partners as an equal stakeholder.
Strong communication skills with ability to align technical and non-technical stakeholders.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.