Senior Director, AI

Job not on LinkedIn

🕒 March 24

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Syner-G BioPharma Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Syner-G BioPharma Group is the world's leading provider of chemistry, manufacturing and controls (CMC), regulatory affairs, and medical writing solutions for the biopharma sector. They offer comprehensive services that navigate clients through the complexities of pharmaceutical development, regulatory submissions, and quality compliance, ensuring high-quality outcomes. With a multidisciplinary team, Syner-G integrates science, engineering, and regulatory expertise to support drug development from pre-IND to post-approval phases, enabling timely submissions and patient safety adherence.

📋 Description

• 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