Sr. Director, AI
New
S
Syner-GBiopharma
Must be legally authorized to work in the United States without employer sponsorship now or in the future.Full-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 12 to 15 or more years of experience in AI, machine learning, data science, or advanced analytics.
- Required Skills
- Artificial IntelligenceCloud ComputingMachine LearningData scienceMLOpsGenerative AI
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field; Advanced degree preferred.
- 12 to 15 or more years of experience in AI, machine learning, data science, or advanced analytics.
- Demonstrated experience building and deploying machine learning models and generative AI systems in production environments.
- Deep understanding of modern AI techniques including LLMs, NLP, deep learning, predictive modeling, and reinforcement learning.
- Experience implementing MLOps pipelines, model governance, and scalable AI systems in cloud environments (Azure, AWS, or Google Cloud).
- Experience leading organization-wide AI or data transformation initiatives.
- Ability to define AI strategy, scope work, estimate effort, and drive execution.
- Strong knowledge of AI ethics, responsible AI practices, and regulatory considerations.
- Ability to lead teams, influence stakeholders, and guide cross-functional efforts.
Responsibilities
- Lead the strategic planning, development, and execution of the company’s AI roadmap and long-term innovation strategy.
- Identify, evaluate, and prioritize AI and machine learning opportunities that improve operations, automation, and business value.
- Partner with Data Engineering and Technology teams to build and deploy scalable AI models, generative AI capabilities, and decision intelligence tools.
- Oversee all stages of the AI development lifecycle, including model design, testing, deployment, monitoring, retraining, and performance optimization.
- Develop and manage responsible AI frameworks that address transparency, risk, ethics, compliance, and governance.
- Collaborate with business units to map workflows, redesign processes, and integrate AI-driven solutions into operations.
- Build, develop, and mentor a high-performing AI organization across data science, machine learning, and applied AI disciplines.
- Manage AI program budgets, resources, vendor contracts, and reporting requirements.
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