Sr. Director, AI

About the role

The Sr. Director/Vice President, Artificial Intelligence at Syner-G leads the strategic development and enterprise-wide adoption of AI capabilities that support organizational transformation. This role involves defining the AI vision, building a scalable roadmap, and driving execution across multiple business units. You will partner with Technology, Operations, Product, and executive leadership to identify high-value use cases, develop AI solutions, and integrate them into core business processes to deliver measurable results.

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.
• 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.
• 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.

Qualifications and Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required. 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 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.

Education

Education qualifications include a Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required. An advanced degree is preferred.