Sr Data Engineering Manager

• Design and own a modern semantic data platform that connects key business systemsERP CRM marketing technologies contract/legal management software purchasing quality management and business intelligence (e.g. tools such as QAD Salesforce HubSpot Agiloft Coupa Propel and Tableau)together with unstructured and flat-file content into a unified and governed data layer.
• Evaluate and select the target architecture weighing a semantic / knowledge-graph approach that connects data largely in place against a medallion / star-schema warehouse and define the roadmap build-vs-virtualize decisions and total cost of ownership.
• Build and maintain the knowledge graph and semantic layer using modern graph semantic and data-integration tooling (e.g. tools such as knowledge-graph platforms and data-sync / virtualization tools) enabling bi-directional sync data cleansing and master / reference data alignment.
• Implement enterprise data security and governance using role- and attribute-based access control (RBAC / ABAC) along with data lineage quality and stewardship controls appropriate to a regulated environment.

• Serve initially as the hands-on builderdesigning prototyping and deploying production AI agents and intelligent workflows that connect systems to actions and insights.
• Build agent capabilities including tool / function calling context and memory management multi-agent orchestration retrieval-augmented generation (RAG) and human-in-the-loop checkpoints.
• Implement prompt-engineering and reasoning strategies validate value through measurable outcomes and iterate rapidly from pilot to production.
• Partner with managed-service providers (MSPs) and vendors to scale agent development and workflow automation across business processes.

• Empower business teams to self-serve analytics by providing the foundation of data standards and support that distributed report developers need.
• Enable the business to build their own report and support data governance efforts. Where needed lead the buildout of selected high-value reports directly.
• Collaborate with data and analytics teams to improve data reporting forecasting and decision-support capabilities.

• Act as an AI thought leader and change agentdriving adoption educating stakeholders and promoting a culture of experimentation and data-driven decision-making.
• Translate fluently between technical and non-technical audiences and drive alignment across IT Finance Sales Marketing Legal and Quality.
• Contribute to hiring onboarding and mentoring as the capability scales.

• Ensure solutions meet compliance and security expectations and are designed for scalability from the outset.

• Bachelors degree in computer science software engineering data engineering or a related discipline and a minimum of 12 years of experience in data engineering / architecture applied AI / ML or enterprise application development; or an equivalent combination of education and related experience.
• Masters degree preferred.
• Demonstrated experience architecting modern data platformssemantic layer and knowledge graph and / or medallion / lakehouseand integrating heterogeneous enterprise source systems and unstructured content.
• Experience should include a minimum of 2 years of progressive recent hands-on experience building production generative-AI and agentic solutions (LLMs agent frameworks RAG orchestration tool / function calling).
• Knowledge of data governance and security models including RBAC / ABAC and of bi-directional data sync and data-cleansing patterns.
• Proven ability to deliver pilots and proofs-of-concept end-to-end and scale them into production.
• Experience in or alongside regulated environmentsGxP 21 CFR Part 11 computer system validation (CSV / CSA) GAMP 5 and HIPAAstrongly preferred.
• Cloud infrastructure hands-on knowledge; experience managing vendors / MSPs (SOWs licensing budgets) preferred.
• Effective communicator across technical and business audiences.

The use of external recruiters/staffing agencies requires prior approval from our Human Resources Department. The Human Resources Department at Imperative Care requests that external recruiters/staffing agencies not to contact Imperative Care employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with Imperative Care.

Imperative Care will not accept unsolicited resumes from any source other than candidates themselves for either current or future positions. Submission of unsolicited resumes in advance of an agreement between the Human Resources Department and the external recruiter/staffing agency does not create any implied obligation on the part of Imperative Care.