Manager- IT Enterprise Analytics

Midland States Bank•Weldon Spring, MO

2d•$105,000 - $145,000

About The Position

This 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.

Requirements

Bachelor’s Degree in Computer Science, Information Systems, Business Analytics, or related field.
7+ years of experience in analytics, business intelligence, or data science, with a proven ability to lead enterprise analytics initiatives.
Minimum of 3 years of experience leading teams with demonstrated success coaching and motivating team members.
Strong technical expertise with Power BI, data modeling, and SQL; familiarity with cloud data platforms (e.g., Snowflake, Databricks, Azure, or AWS).
Advanced skills in data visualization and the ability to convey complex information in an accessible format.
Experience integrating data across multiple systems (Salesforce, core banking, CRM, finance, and risk).
Deep understanding of analytics best practices and industry trends.

Nice To Haves

Master’s degree preferred.
Working knowledge of AI, automation, and advanced analytics techniques preferred.
Track record of translating business strategy into measurable, data-backed outcomes.

Responsibilities

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.
Identifies 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, etc. 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.
Promote data literacy and self-service enablement across the organization, empowering teams to make informed, data-driven decisions.
Serve as a trusted advisor and thought partner to senior executives, helping translate complex analytics into actionable business strategies.
Actively collaborate across departments to create alignment, transparency, and shared accountability for performance outcomes.
Maintain compliance with all applicable regulations including, but not limited to, the Bank Secrecy Act (BSA).
Other duties as assigned.