Essential 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.
Education & Years of Experience
- Minimum - 4 Year Bachelors Degree in Computer Science, Data Science, Engineering, Finance Data or related
- Preferred - Graduate 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
In Lieu of Education
- 15 Years of AI, data science, analytics, technology leadership role including people management
Compensation & Benefits:
Typical hiring range: $167,700.00 to $287,500.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.
Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:
- Annual performance bonus
- Work from home up to 3 days a week
- Paid parental leave
- Employee discount programs
- Time off including paid personal and sick days
- 11 paid holidays
- Education reimbursement
*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.
Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.
The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.
Equal Opportunity EmployerThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Alliant Credit Union Chicago, Illinois, USA Office
We are located near O'Hare. We have plenty of parking space available.
Similar Jobs at Alliant Credit Union
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

