Sr. Director, Business AI

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. 

Our Values:

• We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care
• We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work
• We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins
• We Care Deeply: We embrace our differences, do the right thing, and encourage each other

 

The Position:

We are seeking a highly collaborative Senior Director of Business AI to lead our company-wide AI strategy and accelerate the adoption of AI across key business functions. This leader will define KPIs for AI-powered workflows, and manage both internal and outsourced teams to design, build, and operate production-grade AI solutions that deliver measurable business outcomes.

This role is both strategic and hands-on: you will shape the Business AI roadmap, guide responsible AI practices, and ensure that teams have the tools, training, and support they need to confidently integrate AI into their daily work. You will partner deeply with departments such as Legal, HR, Customer Service, Finance, and Operations to understand their workflows, identify high-impact opportunities, and translate business needs into scalable AI-driven solutions.

Key Responsibilities

Enterprise AI Strategy & Leadership

• Develop and own the company’s Business AI strategy, aligning it with organizational goals and departmental priorities.
• Build a multi-year roadmap that balances innovation, operational efficiency, and responsible AI governance.
• Serve as the primary evangelist for AI adoption across the organization.

Departmental Partnership & Process Understanding

• Partner closely with leaders in Legal, HR, Customer Service, Finance, and other functions to deeply understand their business processes, pain points, and opportunities.
• Conduct structured process mapping and needs assessments to identify where AI can meaningfully accelerate workflows, reduce manual effort, or improve accuracy.
• Translate departmental needs into clear requirements, use cases, and implementation plans.

AI Solution Development & Deployment

• Lead cross-functional teams to design, prototype, and deploy AI solutions that integrate seamlessly into existing processes.
• Evaluate and select AI tools, platforms, and vendors; ensure interoperability with enterprise systems.
• Manage outsourced development, including writing SOWs, defining SLAs, coordinating multi-timezone vendors, and ensuring on-time/on-quality delivery.
• Deploy AI agents across all organizational levels to enhance efficiency and decision-making.

Responsible AI, Advanced Governance & Risk Management

• Work across teams to maintain advanced governance standards for privacy, security, compliance, and ethical use of AI and alignment with emerging regulations (e.g., NIST, EU AI Act).
• Partner with Legal and Compliance to ensure all AI initiatives meet regulatory and organizational requirements.
• Establish ongoing monitoring, auditing, and risk management protocols for all AI solutions.

Talent Strategy & AI Literacy

• Drive AI hiring, upskilling, and mentoring initiatives across departments, ensuring a diverse and highly skilled team.
• Partner with HR to launch formal training, mentorship, and executive education programs to boost AI literacy and adoption at all levels of the organization.
• Foster a culture of continuous learning and innovation in AI.

External Partnerships & Ecosystem Engagement

• Build and manage relationships with external partners, including AI vendors, technology providers, academic institutions, and startups, to accelerate innovation and access new capabilities.
• Represent the organization in relevant industry forums, consortia, and conferences.

Change Management & Cultural Transformation

• Lead broad-based cultural change initiatives to embed AI as