Senior Director, AI
Syner-G BioPharma Group
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Job Level
About the role
- 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
- Apply structured methodologies to assess use case feasibility, technical readiness, adoption requirements, and expected ROI
- 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
- Conduct impact analyses and assess organizational readiness to adopt AI-driven processes and technologies
- Create and deliver communication strategies to support AI adoption for leaders, teams, and stakeholders
- Collaborate with business units to map workflows, redesign processes, and integrate AI-driven solutions into operations
- Lead the design and implementation of training programs that support end-user adoption of AI tools
- Build, develop, and mentor a high-performing AI organization across data science, machine learning, and applied AI disciplines
- Partner with external technology providers, vendors, academic institutions, and research organizations to evaluate emerging AI technologies
- Create metrics and dashboards to measure activation, performance, and business impact of AI solutions
- Lead continuous improvement efforts through data analysis, root cause assessment, and iterative solution updates
- Communicate complex technical concepts and model insights to executive leadership in clear, accessible language
- Manage AI program budgets, resources, vendor contracts, and reporting requirements
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required
- 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 large language models, natural language processing, deep learning, predictive modeling, and reinforcement learning
- Experience implementing MLOps pipelines, model governance, and scalable AI systems in cloud environments such as Azure, AWS, or Google Cloud
- Experience leading organization-wide AI or data transformation initiatives
- Experience managing cross-functional teams and external partners or vendors
- Must be legally authorized to work in the United States without employer sponsorship now or in the future.
Benefits
- generous flexible paid time off program
- company paid holidays
- flexible working hours
- fully remote work options for most positions
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AImachine learningdata sciencegenerative AIMLOpspredictive modelingreinforcement learningnatural language processingdeep learningmodel governance
Soft Skills
strategic planningcommunicationcollaborationleadershipmentoringorganizational readinesscontinuous improvementimpact analysistraining program designstakeholder engagement