> Markdown version of [/jobs/ext/2987199-director-ai-data-science-pl](https://www.wearedevelopers.com/jobs/ext/2987199-director-ai-data-science-pl). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Director, AI & Data Science (PL)

- **Company:** Charles Schwab Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Salary:** $200,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Machine Learning, Natural Language Processing, Google Cloud, Data Ingestion, Large Language Models, Deep Learning, Generative AI, Build Management, Information Technology, Machine Learning Operations, Natural Language Understanding, Software Version Control
- **Published:** September 18, 2026
- **Apply:** https://www.themuse.com/jobs/charlesschwab/director-ai-data-science-pl-4b07e3

## About the Role

* Master's degree in a quantitative field such as engineering, physics, computer science, statistics, or a related discipline.
 * 6+ years of direct leadership experience managing data science teams that develop and deploy production AI products.
 * 12+ years of AI/ML experience, including strong knowledge of modern algorithms, statistics, model development, and applied machine learning.
 * 4+ years of experience with NLP, NLU, LLMs, or Generative AI in a client-facing enterprise environment.
 * Experience leading AI or data science products through the full lifecycle, from strategy and design through testing, rollout, adoption, and continuous improvement.
 * Strong executive communication skills with the ability to influence, educate, and align stakeholders at all levels of the organization.
 * Ability to translate business and product needs into technology requirements while partnering effectively with engineering and platform teams.
 * Experience leading geographically distributed, cross-functional teams in a complex enterprise environment., * Experience in cloud-based solutions such as Google Cloud Platform.
 * Financial services experience, particularly in a regulated, client-facing environment.
 * Experience with Marketing Mix modeling and multi touch attribution.

## Description

* Lead, mentor, and develop managers and individual contributors while fostering a culture of innovation, accountability, and technical excellence.
 * Partner with senior business leaders to identify where AI can create the greatest value, then translate priorities into product roadmaps, operating plans, and measurable outcomes.
 * Translate business strategy into technical execution by partnering with senior leaders to convert high-level business objectives into clear, actionable data science and AI roadmaps that address critical business and technology challenges.
 * Design and build end-to-end machine learning systems by defining scalable, reliable, and maintainable architectures that support data ingestion, feature generation, model training, evaluation, deployment, and monitoring in production environments.
 * Set and elevate engineering standards for data science by establishing best practices that treat data science as a rigorous engineering discipline, including modular code design, testing, version control, and production readiness.
 * Advance technical capabilities in emerging areas by leading complex initiatives involving advanced machine learning, real-time and low-latency inference, or other evolving technologies that require deep technical expertise and comfort with ambiguity.
 * Stay ahead of emerging trends in data science, analytics, AI, and responsible innovation, bringing forward ideas that can create measurable value for Schwab and its clients.


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking)
- [Cloud Run- the rise of serverless and containerization](https://www.wearedevelopers.com/videos/106-cloud-run-the-rise-of-serverless-and-containerization)
- [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data)

## Related Articles

- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)