Director Artificial Intelligence & Data Science

Alliant Credit Union•Chicago, IL

1d•$167,700 - $287,500•Hybrid

About The Position

Responsible enterprise leader for defining and executing the organization’s AI, advanced analytics, and data science strategy. Bridges business strategy, advanced analytics, and AI platform enablement to deliver measurable business outcomes, optimize decision-making, and drive responsible AI adoption at scale. Lead cross-functional teams to design, build, and operationalize advanced analytics models and enterprise AI platforms while ensuring alignment with regulatory requirements, governance standards, and ethical AI principles. Foster a data-driven culture and position the organization to maximize value from AI and analytics investments.

Requirements

Minimum - 4 Year Bachelors Degree in Computer Science, Data Science, Engineering, Finance Data or related
Minimum - 10 Years of AI, data science, analytics, technology leadership role or related
Minimum - 5 Years of People Management
15 Years of AI, data science, analytics, technology leadership role including people management (in lieu of education)

Nice To Haves

Preferred - Graduate Degree in Computer Science, Data Science, Engineering, Finance Data or related

Responsibilities

Define and execute the enterprise strategy for AI enablement, data science, and advanced analytics.
Translate business priorities into scalable AI, analytics, and platform roadmaps with clear outcomes.
Lead the design, implementation, and optimization of enterprise AI platforms, including MLOps/LLMOps capabilities.
Own the “Industrial” Use Case portfolio (i.e., large enterprise-grade AI use cases), including intake, prioritization, roadmap, execution, and value realization across enterprise AI and advanced analytics initiatives.
Lead decision science efforts spanning predictive modeling, optimization, experimentation, and decision strategy to improve business performance, risk outcomes, and operational efficiency.
Establish and scale reusable frameworks, standards, and tools to enable responsible AI adoption.
Deliver actionable insights and recommendations through data storytelling and visualization to influence decision-making.
Ensure compliance with Alliant’s governance, regulatory, legal, privacy, and ethical AI requirements across solutions.
Partner with technology, data, risk, and business leaders to align AI and analytics initiatives with enterprise goals.
Drive adoption and value realization of AI and analytics solutions across the organization.
Establish and track KPIs to measure platform performance, model effectiveness, and business impact.
Evaluate and manage AI technologies, tools, and vendor partnerships.
Foster a culture of innovation, continuous learning, and enterprise-wide data and AI maturity.
Plan, oversee and lead the work of the team to meet functional and individual operational objectives and goals. Coach, mentor, and develop staff, including overseeing new employee onboarding and providing career development planning and opportunities. Responsible for hire, fire, performance, discipline and problem-resolution decisions.