Enterprise Architect, Data & AI

$152,600 - $228,800/Yr

Illumina

Full-time - Senior

Computer and Electronic Product Manufacturing

About the position

The Enterprise Architect role at Illumina focuses on supporting and enabling business process and digital transformation initiatives through data, analytics, and AI. This position is crucial for developing a unified business and technology strategy that aligns with the company's growth objectives, ultimately impacting health equity and human health 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 on the design and implementation of 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 that technology and architecture best practices are leveraged in the building of 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.

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