Director of AI and Analytics
About The Position
The Director of AI and Analytics is a strategic and technical leader responsible for driving the development and implementation of AI, data, and analytics solutions that deliver measurable business impact. Acting as a player-coach, this role connects business priorities with technical execution and supports the successful deployment of AI-driven predictive analytics capabilities. The Director oversees a multidisciplinary team, manages AI project portfolios, and fosters innovation and a collaborative, high-performing culture. The position follows a hybrid work model based in Austin, Texas, with on-site work at least two days per week and additional days as required by business needs. The role may involve occasional schedule adjustments, overtime, or high-pressure situations, and frequent use of computers, virtual communications, and technology platforms.
Requirements
- Proven ability to build, inspire, and lead high-performing, diverse teams.
- Exceptional interpersonal, communication, and stakeholder management skills.
- Proactive, results-oriented approach and ability to deliver high-impact outcomes.
- Extensive experience leading data science, machine learning, and analytics projects.
- Proficiency in modern analytics platforms, including Databricks, Python, SQL, and related data management and visualization tools.
- In-depth knowledge of the AI/ML lifecycle, including MLOps, model development, deployment, and monitoring.
- Strong ability to translate business objectives into actionable, data-driven solutions.
Nice To Haves
- Master’s degree in Data Science, Computer Science, or a related discipline.
- Certifications in relevant AI/ML platforms, such as Databricks or cloud architecture.
- Experience leading advanced analytics and AI programs in a corporate or technical environment.
Responsibilities
- Oversee the end-to-end development and operationalization of AI and analytics solutions, transforming insights into actionable outcomes.
- Define and implement technical standards for AI/ML delivery to support scalability and production resilience.
- Lead teams across artificial intelligence, machine learning, data science, and business analytics, fostering a results-driven and innovative work culture.
- Prioritize AI initiatives based on business value and ROI and align them with organizational goals.
- Establish MLOps practices to sustain model performance and monitoring in production environments.
- Translate business needs into actionable AI and data strategies and advise strategically.
- Collaborate with leadership and business units to identify high-impact opportunities and define AI roadmaps.
- Build and manage partnerships across technical and business teams to achieve organizational priorities.
- Engage in long-term strategic planning, aligning AI objectives with enterprise goals and fostering cross-departmental collaboration.
- Lead and develop a high-performing, diverse team through skill development, mentorship, and talent growth.
- Promote collaboration, accountability, and continuous improvement, with transparent communication and team empowerment.
- Support team members in achieving professional goals while driving individual and organizational success.
- Develop and manage AI and analytics budgets in alignment with strategic priorities.
- Monitor and optimize resource allocation, emphasizing cost-effectiveness and operational efficiency.
- Oversee compliance with organizational policies, regulatory requirements, and industry best practices.
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What This Job Offers
Career Level
Director
Education Level
No Education Listed
