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Director Artificial Intelligence Government Jobs

Samsonite

Director, Artificial Intelligence

Mansfield, MA · On-site

$190K - $210K/yr

We are seeking a Director of AI to help shape and accelerate this transformation - a role at the intersection of applied AI, enterprise platform delivery, and global business transformation ...

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Director Artificial Intelligence Government information

What is the difference between Director Artificial Intelligence Government vs Data Scientist Government?

AspectDirector Artificial Intelligence GovernmentData Scientist Government
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceDegree in Data Science, Statistics, or related fields; technical skills
Work EnvironmentStrategic leadership, project oversight, policy developmentData analysis, model development, data visualization
Employer & Industry UsageGovernment agencies implementing AI initiativesGovernment agencies analyzing data for policy and operations
Common Search & Comparison IntentUnderstanding leadership roles in AI within governmentUnderstanding technical data roles in government

The main difference is that the Director Artificial Intelligence Government focuses on strategic leadership, policy, and overseeing AI projects, while the Data Scientist Government is more hands-on with data analysis, modeling, and technical tasks. Both roles are essential in government AI initiatives but differ in scope and responsibilities.

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Director Artificial Intelligence Government jobs near you

Senior Director, Artificial Intelligence

Summit Therapeutics

Palo Alto, CA • On-site

Other

Posted 2 days ago

New

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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