Top Tech Jobs & Startup Jobs

The Senior Business Information Architect leads the enterprise's information landscape through strategic architecture, metadata management, and collaborative governance while ensuring alignment with business requirements and regulatory standards.

Lead enterprise Anaplan architecture and integrations for Finance and HR. Design models, governance, security, and integrations with systems (Workday, SAP, Oracle, Snowflake). Mentor architects, manage ALM, build reporting (Power BI/Tableau), drive platform strategy, ensure data governance and compliance, and support adoption across stakeholders.

Design, build, and deploy production-grade generative AI features (RAG, embeddings, vector search, agents) for healthcare applications. Implement backend APIs, integrate AI into front-end interfaces, ensure HIPAA-compliant data handling, and establish evaluation, monitoring, and guardrails for safe, reliable AI in clinical and member-facing systems.

Lead the design, provisioning, automation, and operation of an Azure- and Snowflake-based cloud data platform. Build IaC, CI/CD pipelines, orchestration and monitoring, API integrations, and scalable data pipelines. Troubleshoot platform issues, optimize performance and costs, collaborate with architects and business partners, mentor engineers, and drive modernization to Snowflake/Databricks.

Lead architecture for CenterWell programs, define reference architectures, govern solution designs, enable AI/ML (agentic) integrations across cloud/data platforms, ensure compliance and delivery readiness, and collaborate with product, engineering, security, and executive stakeholders.

Design and integrate scalable, secure marketing-technology solutions across cloud, software, and data systems. Collaborate with stakeholders to translate business needs into architectures, guide implementations, optimize integrations, evaluate new technologies, document designs, and support strategic and pre-sales activities while mentoring junior engineers.

Lead technical product vision and hands-on prototyping for enterprise AI solutions (LLMs, GenAI). Collaborate with engineers, data scientists, and business leaders to discover, validate, pilot, and scale governed AI products, author reusable frameworks, benchmark models, and guide solutions through enterprise AI governance.

Lead architecture and delivery of production-grade generative AI systems (RAG, agent orchestration, multi-model integrations), define prompt and evaluation standards, ensure observability, compliance (HIPAA/FDA), scalable data ingestion, mentor engineers, and partner with platform and product teams to deploy responsible AI at enterprise scale.

Develop tactical insights from large structured and unstructured datasets, build and validate ML models and AI tools, design scalable resilient distributed systems, collaborate with analytics and data teams, communicate results to technical and executive stakeholders, and influence departmental strategy while independently driving technical approaches.