Sr. Director, AI

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.

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

• Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required. Advanced degree preferred.
• Technical Experience: 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.
• Knowledge, Skills, and Abilities: Ability to define AI strategy, scope work, estimate effort, and drive execution. Ability to explain technical concepts to non-technical audiences and communicate with executives. Strong knowledge of AI ethics, responsible AI practices, and regulatory considerations. Ability to lead teams, influence stakeholders, and guide cross-functional efforts toward a shared vision. Strong analytical and problem-solving skills with the ability to interpret complex data and model results. Ability to manage multiple priorities in dynamic and fast-paced environments. Forward-thinking mindset with a focus on innovation and continuous learning. Strong presentation skills and experience delivering training or communication materials.

Essential Functions

• Physical Demands: The physical demands described here are representative of the requirements that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job, including moderate noise level, an indoor temperate environment, and light levels that are bright and conducive to minimal eye strain, typical for an office environment.

Total Rewards Program

We define total rewards as compensation, benefits, remote work/flexibility, development, recognition and our culture with programs that support each of our reward pillars. This includes a market competitive base salary and annual incentive plan, robust benefit offerings, and ongoing recognition and career development opportunities. Employees also enjoy our generous flexible paid time off program, company paid holidays, flexible working hours, and fully remote work options for most positions and the ability to work “almost anywhere”. However, if a physical work location is more for you, we have office locations in Greater Boston; San Diego, CA; Boulder, CO; and India.

Legal Statement

Syner-G is proud to be an Equal Employment Opportunity and Affirmative Action employers. All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. Syner-G is an E-Verify employer.