Responsibilities
- Drive the design and development of advanced AI/DS/ML solutions that support large-scale and complex business operations
- Lead technical excellence in MLOps practices, ensuring scalable and reliable machine learning deployments
- Serve as a thought leader in AI/ML, mentoring junior data scientists and guiding architectural decisions and long-term roadmaps
- Own cross-functional collaboration efforts with engineering, data engineering, platform, and product teams to ensure seamless delivery and adoption of AI/ML products
- Partner with business and functional leaders to align AI/DS strategy with organizational goals and influence decision-making through data-driven insights
- Represent the data science function in strategic discussions and executive forums
- Direct manager: Sr. Director of Applied AI
- Direct reports: No direct reports but may serve as a team lead or player-coach, providing mentorship to senior data scientists and technical contributors
- Occasional travel (<10%) may be required for strategic planning, leadership meetings, or cross-functional alignment
- Standard office-based physical requirements including prolonged computer usage and participation in virtual and in-person meetings
- Hybrid work environment with a combination of remote and on-site work at 7440 S. Hwy 121, McKinney, TX 75070
Basic qualifications
- Master’s degree or PhD in a quantitative field (e.g., Statistics, Machine Learning, Applied Mathematics), or at least 10 years of professional experience with a strong track record of building and deploying scalable AI/ML systems
- Mastery of a wide variety of machine learning models and AI techniques, including MLOps best practices
- Demonstrated ability to translate complex AI/ML concepts into strategic business impact
- Experience leading cross-functional initiatives and delivering data products at enterprise scale
- Strong communication and influence at the executive level
Preferred qualifications
- Proven leadership in DS/AI/ML/Optimization within complex enterprise ecosystems
- Experience managing high-performing data science teams and leading large-scale, cross-functional programs
- Familiarity with regulatory and ethical implications of AI/ML in production environments
- Demonstrated success in aligning AI initiatives with key business KPIs and influencing strategic priorities
- Master’s degree in a relevant quantitative field or equivalent practical experience
- PhD in Machine Learning, Statistics, Applied Mathematics, or a related discipline
- 10+ years of experience in data science, machine learning, or AI, with increasing technical leadership responsibilities
- Not required, but relevant certifications (e.g., Microsoft AI-900 certification, TensorFlow Developer Certificate) are a plus.
- Deep expertise in AI/ML modeling and MLOps
- Strategic and technical leadership across enterprise-level initiatives
- Excellent problem-solving and critical thinking abilities
- Strong cross-functional collaboration skills
- Outstanding executive communication and stakeholder management
- High level of initiative, innovation, and long-term strategic thinking
- Hybrid – 7440 S. Hwy 121, McKinney, TX 75070
Benefits
- Competitive salaries for all team members paid weekly
- 401(k) Retirement Plan with company matching
- Employee Stock Purchase Program
- Paid Vacation, Sick Time, Volunteer Day, Holidays, Birthday, and Floating Holidays
- Paid Parental Leave, Adoption Assistance Program
- Medical, Dental and Vision Benefits
- Flexible and Dependent Care Spending Accounts
- Company paid Life insurance and Short-Term Disability
- Additional Life Insurance and Long-Term Disability also offered
- Mental, Physical and Emotional Well-Being Programs for Employees and Families
- Wellness Program and Safety Program with Bonuses for our Drivers
- Employee Referral Bonus Program
Tags & focus areas
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