Director, Artificial Intelligence & Machine Learning Engineering

Insperity•Houston, TX

About The Position

Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide. Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen. We’ve earned recognition time and again as a top place to work—named among the best by respected organizations like Glassdoor and U.S. News & World Report. We’re also proud to be recognized for one of the country’s Top 50 Midsize Early Talent Programs through RippleMatch’s Campus Forward Awards. There’s never been a better time to be part of Insperity, and our best work is still ahead. Learn more at Insperity.com. Why Insperity? Flexibility: Over 80% of Insperity’s jobs have flexibility. We want your time to have balance, whether it’s spent with coworkers, clients, family or your community. Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training. Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work. We are looking for a Director, Artificial Intelligence & Machine Learning Engineering to join our team. Summary This position is responsible for overseeing the development and implementation of Artificial Intelligence (AI) and Machine Learning (ML) systems, driving innovation and enabling data-driven decision-making through scalable platforms and intelligent systems. Works closely with various departments to leverage AI and ML technologies to gain business insights and improve operational efficiency.

Requirements

Bachelor's Degree in Computer Science, Mathematics, Data Science, a related field, or four years of related work experience is required.
Minimum of ten years’ professional experience in information systems, with at least five years in Data Science, Machine Learning, or Artificial Intelligence is required.
Prior experience in leading and managing technical teams is required.
Excellent knowledge of Artificial Intelligence, Machine Learning, and Data Science concepts.
Strong understanding of unstructured data and non-relational storage technologies.
Proficiency in multiple statistical computer languages (Python, R, C#/.NET) and ML/AI libraries (e.g., pandas, ML.NET).
Knowledge of machine learning techniques (clustering, decision tree learning, neural networks) and advanced statistical concepts (regression, properties of distributions).
Strong leadership, teamwork, and collaboration skills.
Ability to translate technical excellence into feasible strategies that serve long-term business goals.
Strong organizational, project, and resource management skills.
Excellent verbal and written communication skills, with the ability to convey complex technical concepts in business terms.
Passion for learning and continuous improvement.

Nice To Haves

Graduate or Doctorate Degree in Data Science, Mathematics, Statistics, or a related computational science field is preferred.

Responsibilities

Leads and manages the AI and ML team, fostering a culture of innovation and continuous improvement.
Develops and implements AI and ML strategies that align with the organization's business goals.
Oversees the design, development, and deployment of AI and ML systems and technologies.
Collaborates with stakeholders to identify opportunities for leveraging AI and ML to gain business insights and solve complex problems.
Ensures effective collection, aggregation, and analysis of large, unstructured data sets.
Creates and maintains predictive models and custom data algorithms to meet various business needs.
Develops visual interfaces and presentation models for data analysis and insights.
Keeps the organization informed about emerging AI and ML technologies and trends and evaluate their potential impact on the organization.
Provides mentorship to team members, promoting professional growth and development.
Uses data and metrics to measure team progress, analyze trends, and inform strategic decisions.
Communicates technical concepts to non-technical stakeholders in an easy-to-understand manner.
Partners with other departments to integrate AI and ML solutions into business processes.
Promotes and implements continuous improvement initiatives; gathers data to measure the support process, identifies areas for improvement, institutionalizes technical expertise, and eliminates recurring problems through analysis, technology, and research.
Makes management hiring decisions through a targeted selection process of behavioral interviewing to obtain future leaders.
Coaches, mentors, and leads leaders through clear expectations and line of sight to business strategy with solid understanding of operations.
Builds inclusive and collaborative partnerships across multiple departments, with various approaches to influence and plan work around common goals.
Makes decisions and communicates in a way that connects people, tasks, and resources to achieve business objectives.
Supports the business by building high performing teams, coaching leaders through team development, and achievement of business objectives.
Sets high standards and expectations for achieving goals.
Develops and executes plans with input from multiple teams, establishing accountability and clarity.
Creates measurements and performance indicators for monitoring progress and holds teams accountable to achieving business results.
Recognizes the need for change across the department, oversees the development of change plans, looks for continuous improvement opportunities, monitors internal and external business conditions, and reports progress.
Takes accountability to implement change, create momentum, and influence others through intentional communication.