Director, Data Science & AI
About The Position
TMB is seeking a Director of Data Science & AI to lead their team in leveraging data for decision-making, delivering scalable intelligence for personalized experiences and business outcomes, and implementing AI and Automation strategically. This role requires bridging the gap between technical possibilities and practical utility. It is a hands-on leadership position involving setting technical direction, actively participating in data analysis, model reviews, and team development. The ideal candidate will be proficient in Google Cloud Platform (BigQuery, Vertex AI, GCP ecosystem), possess strong data science skills, and be capable of taking ideas from research to production. The role demands a fast learner comfortable with ambiguity, energized by problem-solving, and motivated by driving adoption across the organization. The Director will champion smarter working methods and help integrate AI into daily workflows for both technical and non-technical staff.
Requirements
- 7+ years in data science, including leading or managing a technical team
- Strong foundation in core data science
- Deep, hands-on fluency in Google Cloud Platform: BigQuery, Vertex AI, and building/deploying production models in a GCP environment
- Proficiency deploying custom Gemini Enterprise Agents via Agent Engine
- Fluency in AI tools such as Claude, CoPilot and ChatGPT
- Strong Python and SQL skills and experience in applied AI
- A bias for action
Responsibilities
- Own the data science roadmap for the organization from core statistical modeling and experimentation forecasting, segmentation and applied AI where it adds real business value
- Lead, mentor, and stay hands-on with a small team of data scientists: writing code and reviewing methodology, not just roadmaps
- Oversee the design of robust, production-grade solutions utilizing core cloud systems, vector databases, and agentic workflows
- Champion the adoption and continuous improvement of AI development tools across technical teams
- Scale MLOps/LLMOPs practices, ensuring data observability, governance, model safety, and ethical AI compliance
- Collaborate cross-functionally with Business Intelligence, Data Engineering, Analytics Engineering, Development, and Product teams to drive technical innovation, prioritize initiatives, ship MVPs fast and iterate based on usage data
- Design and run rigorous experiments to validate hypotheses and guide business decisions
- Translate statistical and technical work into business language for executive stakeholders and make the case for where data science investment should go next
- Define success metrics for internal tools and AI initiatives, and track adoption, usage, and business impact over time
- Document tools, workflows, and best practices to scale impact beyond individual engagements
- Stay informed on industry trends, viral content, and emerging platforms to identify new opportunities
Benefits
- work/life balance
- generous time off
- comprehensive benefits and programs
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
