Associate Director of Artificial Intelligence
Smith Arnold Partners
Job Description
We're looking for an experienced Associate Director of Agentic AI Business Solutions to drive the delivery of next-generation AI capabilities that are transforming how commercial organizations leverage data, automation, and intelligent decision-making. This is a highly visible role where you'll partner with business leaders, data scientists, engineers, and AI experts to bring innovative GenAI and Agentic AI solutions from concept to enterprise-wide adoption.
Reviews:
- "This is a place where science, technology, and innovation come together. The opportunity to work on meaningful challenges while being surrounded by talented people makes every day rewarding."
- "What stands out most is the culture of collaboration. People are encouraged to bring new ideas forward, solve complex problems, and make an impact that reaches far beyond their individual role."
- "You have the opportunity to work on cutting-edge initiatives while continuing to grow professionally. The combination of purpose, innovation, and career development makes this a truly unique environment."
Title: Associate Director, Agentic AI
Salary $150,000 – $200,000
This isn't a research role—it's about execution. You'll own the successful delivery of AI-powered business solutions that improve operations, accelerate insights, and create measurable value across commercial and analytics functions.
Play a pivotal role in one of the industry's most exciting AI transformation initiatives.
Deliver enterprise-scale GenAI and Agentic AI solutions that have a direct impact on the business.
Work alongside world-class AI engineers, data scientists, and commercial leaders.
Influence the future of intelligent automation, AI copilots, and digital decision support.
Join an organization making significant investments in artificial intelligence and advanced analytics.
What You'll Be Doing:
Lead the delivery of enterprise Agentic AI and GenAI solutions from concept through production.
Partner with commercial, analytics, product, engineering, and AI teams to translate business challenges into scalable AI solutions.
Drive agile execution, ensuring projects stay on schedule while delivering measurable business outcomes.
Coordinate solution design, testing, deployment, user acceptance, documentation, and production readiness.
Identify risks, remove delivery roadblocks, and keep cross-functional teams aligned.
Develop rollout strategies, training programs, and adoption plans that maximize business value.
Monitor adoption metrics, user feedback, and performance data to continuously improve deployed solutions.
Serve as the bridge between technical teams and business stakeholders, ensuring AI capabilities solve meaningful business problems.
What We're Looking For:
Experience leading enterprise AI, machine learning, or GenAI solution delivery.
A strong background in Commercial Analytics, Sales Analytics, Business Insights, or Data & Analytics.
Experience deploying AI copilots, intelligent agents, workflow automation, or decision-support platforms.
The ability to manage complex, cross-functional initiatives involving both technical and business teams.
Excellent communication skills with the ability to simplify complex AI concepts for executive stakeholders.
A collaborative mindset and the ability to thrive in a fast-moving, innovative environment.
Preferred Experience:
7+ years of experience in Commercial Analytics, Business Intelligence, Data & Analytics, or AI solution delivery.
Experience supporting pharmaceutical, biotechnology, healthcare, or other highly regulated industries is a plus.
Hands-on experience delivering GenAI, LLM, Agentic AI, AI Copilots, or intelligent automation platforms.
Experience working closely with Data Science, Machine Learning, Engineering, Product Management, and Commercial organizations.
Proven success driving adoption of new technologies and managing organizational change.
Strong understanding of AI product delivery, Agile methodologies, and enterprise software implementation.
Education & Experience:
Doctorate with 3+ years of relevant experience
Master's degree with 5+ years of relevant experience
Bachelor's degree with 7+ years of relevant experience
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