Enterprise Architect, Data & AI

$152,600 - $228,800/Yr

Illumina - San Diego, CA

Full-time - Senior

San Diego, CA

Computer and Electronic Product Manufacturing

About the position

The Enterprise Architect, Data & AI role at Illumina focuses on supporting and enabling business process and digital transformation initiatives through data, analytics, and AI. The position involves developing a unified business and technology strategy to support the company's growth objectives, while collaborating with various stakeholders to implement innovative solutions that enhance health equity through genomic technology.

Responsibilities

• Build and maintain strong relationships with key stakeholders to achieve company goals.
• Collaborate closely with teams from business, functional, architecture, infrastructure, and procurement.
• Partner with data scientists, data engineers, analysts, information architects, and analytics teams to design and implement new solutions.
• Develop future state architecture along with the associated transition plan in partnership with key stakeholders.
• Provide strategic leadership to project teams to ensure technology and architecture best practices are leveraged in building new solutions.
• Drive discussions across different teams and stakeholders through effective verbal and written communication to reach consensus and alignment.
• Establish and promote the use of the business capability map that represents business processes and assets.
• Develop and maintain a framework that aligns business strategy, processes, information, and technology to achieve its goals.
• Build and maintain the enterprise data strategy and roadmap.
• Research and implement technology and architecture best practices to improve solution quality and efficiency and reduce cost.

Requirements

• 15+ years of experience in leading and delivering technology architecture and solutions.
• Expertise in AI and GenAI strategy development, governance, and deployment across an enterprise.
• Expertise in building business capability models.
• Expertise in building data and analytics strategies and architecture.
• Expertise in data patterns, data mesh, and data product architecture.
• Experience working with data lake and data warehouse products including Snowflake, SAP, and Apache.
• Experience working with data visualization and BI applications.
• Expert in using EA frameworks such as TOGAF and/or Zachman.
• Strong communication skills and ability to effectively engage with business and technical stakeholders.
• Strong analytical and problem-solving skills.
• Experience in the life sciences industry is a plus.

Nice-to-haves

• Experience in the life sciences industry.

Benefits

• Access to genomics sequencing
• Family planning
• Health/dental/vision insurance
• Retirement benefits
• Paid time off