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What are the common challenges faced by a director of artificial intelligence testing, and how can they be addressed?

A Director of Artificial Intelligence Testing often faces challenges such as ensuring the reliability and fairness of AI models, keeping up with rapidly evolving technologies, and managing cross-functional teams with diverse expertise. Addressing these challenges requires a strong framework for continuous testing, effective communication across data science, engineering, and QA teams, and staying updated on the latest AI validation tools and best practices. Proactively fostering a collaborative culture and investing in ongoing staff development can also help mitigate risks and drive successful AI deployments.

What does a director of artificial intelligence testing do?

A Director of Artificial Intelligence (AI) Testing oversees the development, implementation, and management of strategies to test and validate AI systems. This role ensures that AI models and solutions are reliable, ethical, and perform as intended before deployment. Responsibilities include leading teams of testers and engineers, establishing testing protocols, identifying potential biases, and ensuring compliance with regulations. The director also collaborates with other departments to integrate quality assurance throughout the AI development lifecycle.

What are the key skills and qualifications needed to thrive as a director of artificial intelligence testing?

To thrive as a Director of Artificial Intelligence Testing, you need deep expertise in AI/ML concepts, test methodologies, and a strong background in computer science or a related field, often supported by advanced degrees. Familiarity with AI testing tools, automation frameworks, and experience with cloud platforms and regulatory compliance systems is essential. Exceptional leadership, strategic thinking, and communication skills enable effective team management and stakeholder collaboration. These skills ensure robust AI system validation, risk mitigation, and the delivery of reliable, ethical AI solutions.
What are the most commonly searched types of Artificial Intelligence Testing jobs in California? The most popular types of Artificial Intelligence Testing jobs in California are:
What cities in California are hiring for Director Artificial Intelligence Testing jobs? Cities in California with the most Director Artificial Intelligence Testing job openings:
Director Artificial Intelligence Testing jobs near you

Senior Director, Artificial Intelligence

Summit Therapeutics

Palo Alto, CA

Full-time

Posted 5 days ago

Job description

Senior Director, Artificial Intelligence

Overview of Role:

The Senior Director, Artificial Intelligence (AI) will lead the company's enterprise AI strategy and execution, driving meaningful business outcomes across all corporate functions. As a key strategic leader, this individual will partner with executive leadership and functional experts to identify opportunities where AI can accelerate decision-making, improve operational efficiency, enhance knowledge management, and prepare the organization for commercialization.

This role is both visionary and execution-oriented. The Director will define the enterprise AI roadmap, establish governance and best practices, and lead the design and deployment of AI-enabled solutions across functions.

Role and Responsibilities:

Partner with the Executive Leadership Team to identify high-value AI opportunities across the organization.

Develop and execute the company's enterprise AI strategy aligned with corporate objectives and key results.

Establish an AI roadmap that prioritizes initiatives based on business impact, feasibility, risk, and organizational readiness.

Partner closely with Research, Clinical Data Management, Biostatistics, Commercial and other business functions to identify opportunities to leverage AI for improving data, processing, analytics, integration, quality, visualization, and competitive insights, and commercial intelligence, accelerating research, clinical development, and evidence-based decision-making across the organization.

Provide technical leadership and guidance to AI resources embedded within business functions through a dotted-line reporting structure.

Build repeatable AI capabilities that can be leveraged across multiple functions.

Partner with IT and external vendors to deploy enterprise-grade AI solutions.

Oversee pilot programs through enterprise-scale implementation.

Build organizational capability through education, training, and AI literacy initiatives.

In conjunction with the head of IT, define policies for model evaluation, validation, security, privacy, regulatory compliance, and ethical AI.

Ensure AI initiatives comply with applicable regulations, including GxP where applicable.

Evaluate emerging AI technologies and strategic vendor partnerships.

Recommend enterprise platforms and tools that maximize scalability and interoperability.

All other duties as assigned

Experience, Education and Specialized Knowledge and Skills:

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field. Advanced degree (MS, MBA or PhD) in a relevant discipline preferred.

12+ years of experience in technology, digital transformation, data science, AI, or related disciplines.

5+ years' experience within biotechnology, pharmaceuticals or life sciences.

5+ years leading enterprise AI initiatives.

Demonstrated success building and deploying AI solutions that drive measurable business outcomes.

Experience partnering directly with executive leadership to define strategic priorities.

Strong understanding of modern AI technologies including:

Large Language Models (LLMs)

Generative AI

Agentic AI

Machine Learning

Retrieval Augmented Generation (RAG)

Knowledge Management

Intelligent Automation

Experience leading cross-functional transformation initiatives.

Proven ability to influence without direct authority.

Strong analytical skills and ability to translate data into actionable insights.

Excellent leadership and communication skills, with the ability to effectively collaborate across functions and influence stakeholders at all levels.

Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.

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