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Jobs · Engineering · California

Director, Enterprise Data & AI Platform

Ionis Pharmaceuticals, Inc. · Carlsbad, CA · 2 wk ago
Engineering$159k–$268k/yrFull-time

Summary

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.

Responsibilities

  • 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.

Requirements

  • 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.

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