Manager- IT Enterprise Analytics
Listed on 2026-02-28
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Security
Position Title:
Manager- IT Enterprise Analytics
Locations:
Time Type:
Full time
Req -
At Midland, we’re proud to be a little different. Our bright orange signs reflect a hospital of heart and personalized approach focused on meeting every customer’s needs with the brightest solutions. For more than 140 years, we serve customers skillfully with dedication and follow-through, brightening every interaction to drive our collective success beyond traditional banking. We foster programs that empower our communities, continuously invest in our employees, and actively pursue brighter futures for all.
Our humble ambition keeps us growing, giving back, and looking ahead. We’re innovating and optimizing our services to ensure we stay unique—providing strength you can count on with heart you can feel. You might say we’re unlike any other bank—and you’re right.
At Midland States Bank, base salary is one component of our Total Rewards program. Exact compensation is determined by factors such as education, skills, internal equity, and experience. This position offers additional compensation in the form of short-term incentives (bonus and/or commission) and may include long-term incentives (stock awards). Benefits for this role include comprehensive healthcare, well-being benefits, paid family leave, generous paid time off, banking perks, an Employee Stock Purchase Plan, 401(k) plan with company match, and may include the opportunity to participate in our Non-Qualified Deferred Compensation plan.
Incentives and benefits are subject to eligibility requirements.
Salary Range: $105,000-$145,000
Position SummaryThis position leads Midland States Bank’s enterprise-wide analytics program, transforming data into actionable insights that drive growth, efficiency, and innovation across all business lines. The Manager IT Enterprise Analytics combines strategic vision, technical expertise, and people leadership to advance the Bank’s analytics capabilities from traditional reporting to predictive, automated, and insight-driven decision support. This role partners with business and technology leaders to shape the Bank’s data strategy, foster a data-informed culture, and deliver analytics products that support organizational growth.
PrimaryAccountabilities People
- Lead, coach, and develop a high-performing analytics team focused on curiosity, accountability, and continuous improvement.
- Foster a culture of collaboration, innovation, and customer focus within the analytics organization.
- Create clear career paths and mentor emerging talent to strengthen enterprise analytics capabilities.
- Identify high-potential employees for advanced training and career development opportunities.
- Define and execute the enterprise analytics roadmap, ensuring alignment with corporate strategy and business priorities.
- Oversee the development and delivery of dashboards, reports, and self-service data products using Power BI and related tools.
- Standardize and automate analytics processes to drive scalability and efficiency.
- Collaborate with business leaders across lines (Commercial, Retail, Wealth, Mortgage, Operations, Marketing, Finance, Risk) to co-own KPIs and ensure analytics supports performance goals.
- Lead the transition from traditional reporting to data product ownership, emphasizing usability, accessibility, and business impact.
- Lead adoption of modern data platforms (cloud, APIs, data marts, distributed analytics) in collaboration with IT and data engineering.
- Introduce advanced analytics capabilities including AI/ML, LLMs, and predictive modeling to proactively identify opportunities and risks.
- Champion automation and AI-driven tools to enhance decision speed and accuracy.
- Co-chair enterprise data governance, ensuring data integrity, security, and compliance with BSA, OCC, FDIC, FRB, and other regulations.
- Establish best practices for data quality, metadata management, and standardized definitions across systems and dashboards.
- Maintain high ethical standards in handling sensitive data and ensure compliance with all regulatory requirements.
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