> Markdown version of [/jobs/ext/1899776-director-enterprise-data-ai-platform-organization](https://www.wearedevelopers.com/jobs/ext/1899776-director-enterprise-data-ai-platform-organization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Enterprise Data & AI Platform Organization - **Company:** Ionis Pharmaceuticals - **Location:** Carlsbad, CA, United States (Remote available) - **Salary:** $159,053.0 - $268,000.0 - **Contract:** Permanent contract - **Skills:** Unity 3d, Agile Methodology, Artificial Intelligence, Data Analysis, Cloud Computing, Cloud Engineering, Continuous Delivery, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, DevOps, Data Intelligence, Interoperability, Python (Programming Language), Metadata, Standard Sql, Azure Machine Learning, SAP (Applications), Software Engineering, SQL Databases, Enterprise Data Management, Scripting, Cloud Platform System, Data Layers, Data Analytics, Data Management, Machine Learning Operations, Data Pipelines, Cisco, Databricks - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/director-enterprise-data-ai-platform-carlsbad-ca--7a82556a-773a-4100-8c72-9ab73184c932 ## About the Role * Significant experience in data platform, data engineering, analytics engineering, AI/ML platform, or architecture roles with hands-on delivery responsibility. * Strong experience with Databricks and cloud-based data platforms in enterprise production environments. * Proven ability to design and implement production-grade data, analytics, automation, and AI solutions. * Experience with cloud architecture, pipeline design, data engineering, DevOps, and production support. * Experience defining standards for data quality, metadata, lineage, governance, access control, and lifecycle management. * Strong SQL and Python skills, with the ability to work directly with engineers and technical platform teams. * Ability to translate business priorities into practical architecture, roadmaps, engineering standards, and execution decisions. * Strong judgment in architecture trade-offs, build-versus-buy decisions, and vendor evaluation. * Experience in life sciences or another regulated industry, including enterprise data governance, cross-functional data product design, and platform operating models. * Familiarity with Unity Catalog, MLflow, semantic layers, AI-assisted analytics, and enterprise systems spanning SAP, CRM, ERP, Commercial, and Clinical domains. * 15 years of related experience with a bachelor's degree or 12 years and a master's degree., Access Control, Agile Programming Methodologies, Artificial Intelligence (AI), Automation, Best Practices, Biology, Business Intelligence, Business Skills, Cardiology, Cisco Unity, Cloud Architecture, Cloud Computing, Consulting, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cross-Functional, Customer Relationship Management (CRM), Data Analysis, Data Management, Data Quality, Data Science, DevOps, Disease, Drug Discovery, ERP (Enterprise Resource Planning), Editing, Enterprise Architecture, Finance, Human Health, Identify Issues, Interoperability, Leadership, Medical Products, Metadata, Neurology, Onboarding, Operational Support, Product Design, Production Support, Production Systems, Prototyping, Python Programming/Scripting Language, SAP, SQL (Structured Query Language), Security Compliance, Software Engineering, Standards Development, Stewardship, Technical Leadership, Test Plan/Schedule, Vendor/Supplier Evaluation, Vendor/Supplier Selection, Work From Home ## Description Reporting to the VP, Data & Analytics, the Ioniverse (Data & AI) Platform Owner / Enterprise Solutions Architect will serve as the senior technical leader responsible for operationalizing the Ioniverse as an enterprise-scale data and AI platform centered on Databricks and modern cloud engineering practices. This role owns the platform roadmap, technical direction, architecture standards, and delivery guardrails for the Ioniverse. It establishes reusable engineering patterns and governance controls, enables teams across enterprise domains, and helps move trusted data and AI solutions into production safely, quickly, and consistently., * Ionis has a clear, enforced, modular, and future-ready architecture for data and AI solutions on the Ioniverse. * Teams move data and AI solutions from sandbox to production faster with less reinvention, stronger controls, and more consistent delivery practices. * Trusted data, semantic assets, and solution patterns are discoverable, governed, and reusable, powering AI-driven insights, automation, and business workflows across the enterprise. * Governance and platform standards support both speed and compliance while reducing fragmentation and strengthening internal capability across enterprise domains., * Own the Ioniverse platform roadmap, technical direction, and architecture standards for enterprise data and AI solutions, with Databricks as the core platform foundation. * Define and implement target-state patterns for data pipelines, semantic access, AI enablement, observability, security, and production support. * Lead the design, automation, optimization, and operational support of data engineering environments across development, test, and production. * Establish onboarding standards, guardrails, and promotion paths that move domain data products from sandbox experimentation to certified, trusted production use. * Define and enforce standards for data quality, metadata, lineage, certification, stewardship, access control, and reuse in partnership with governance, privacy, compliance, and security stakeholders. * Build reusable accelerators, templates, reference architectures, playbooks, and shared platform services that improve delivery speed, consistency, scalability and maintainability across teams. * Implement DevOps best practices for CI/CD, monitoring, cost optimization, and MLOps to support advanced analytics and AI initiatives in production. * Partner with BRPs, portfolio leads, domain product owners, data stewards, and technical teams to align priorities, intake, definitions, service levels, and certification expectations. * Assess tools, vendors, and partner recommendations with a bias toward leveraging Ionis investments, reducing fragmentation, and strengthening long-term internal capability. * Partner across data engineering, data science, AI engineering, data intelligence, and business teams to accelerate delivery of priority data and AI solutions into trusted production use. * Define interoperable data, workflow, and semantic patterns that enable consistent adoption across Commercial, Research, Development, Finance, and other enterprise domains. * Experience leading consulting or partner teams and delivering business value in Agile, iterative environments. * Ensure solution patterns incorporate appropriate security, role-based access, lifecycle controls, fit-for-purpose AI and analytics delivery patterns, and sound cloud cost management. * Lead consulting and vendor partners while serving as a hands-on platform leader who prototypes, troubleshoots, and helps implement the architecture and patterns they define. ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)