Director, Data & Artificial Intelligence

Equity Bank•Wichita, KS

2d•Onsite

About The Position

The Director of Data & AI will lead Equity Bank’s enterprise data strategy and artificial intelligence initiatives. This role is responsible for building a trusted data foundation, enabling advanced analytics, and driving AI adoption across the organization. The Director will oversee data governance, architecture, and AI-driven innovation to enhance customer experience, operational efficiency, and business growth.

Requirements

Bachelor’s or Master’s in Data Science, Computer Science, AI, or related field; Ph.D.
7+ years in data management or analytics roles; 3+ years in AI leadership
Proven track record of implementing enterprise data and AI strategies
Proficiency in SQL, Python/R, and data visualization tools (Power BI, Tableau)
Expertise in machine learning, deep learning, and AI frameworks
Experience with cloud platforms and big data technologies
Strong strategic thinking and ability to influence at all levels
Excellent communication skills for translating technical insights into business value

Nice To Haves

Certifications: AWS Certified Data Analytics, PMP, or equivalent
AI leadership

Responsibilities

Define and execute enterprise-wide data strategy aligned with business objectives
Establish and enforce data governance policies, ensuring compliance with regulatory standards (GLBA, GDPR)
Drive data quality initiatives and maintain integrity across all platforms
Develop and implement the organization’s AI roadmap, focusing on high-ROI use cases
Architect and oversee machine learning platforms and MLOps frameworks
Stay ahead of emerging AI trends (generative AI, NLP, computer vision) and integrate innovative technologies
Oversee design and maintenance of data platforms (warehouses, lakes, pipelines)
Implement scalable AI solutions by leveraging cloud platforms (AWS, Azure) and modern tools (Snowflake, Copilot Studio)
Deliver advanced analytics, dashboards, and predictive models to support decision-making
Collaborate with business units to identify opportunities for AI-driven automation and personalization
Build and mentor a high-performing team of data engineers, analysts, and AI specialists
Partner with technology and business leaders to align data and AI initiatives with strategic goals
Communicate complex AI and data concepts to executives and stakeholders
Ensure ethical AI development and deployment
Monitor compliance with data privacy regulations and mitigate risks associated with AI technologies