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IT Data Engagement Lead Manager

Job in Springfield, Sangamon County, Illinois, 62777, USA
Listing for: Levi, Ray & Shoup, Inc.
Contract position
Listed on 2026-05-19
Job specializations:
  • IT/Tech
    IT Project Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Description

Time to get to work! LRS Consulting Services is seeking an experienced IT Data Engagement Lead Manager for our client in Central Illinois. This is a 6-month contract to hire opportunity for the right person. If you’re that person and if you have the IT Data Engagement Lead Management expertise that we need, submit your resume now!

LRS Consulting Services has been delivering IT excellence for over four decades. Our reputation for quality, flexibility, and strong relationships with our clients keeps them turning to us to meet their IT consulting needs. Our contacts, combined with your technical expertise, equals career possibilities for you. So, let’s get to work!

Key Responsibilities
  • This leader will play a pivotal role in ensuring stability, efficiency, visibility, and continuous improvement of enterprise data capabilities, balancing evolving business priorities with a commitment to technical excellence and innovation. The ideal candidate will possess practical analytical expertise, deep understanding of business needs, and exceptional decision-making skills to evaluate and prioritize requests that maximize business value.

  • This role requires someone who is highly organized, equally effective communicator for both business and technical partners, and driven to make a meaningful and measurable impact across the enterprise. This Engagement Lead must be able to navigate competing demands, align technology work with strategic goals, and create a structured approach to data support, incremental enhancements and strategic advancements.

  • Evaluate and prioritize incoming requests based on business impact, urgency, and technical feasibility. Set clear expectations with stakeholders, ensuring alignment with organizational goals. Communicate trade-offs transparently, advocating for business value over reactive task execution.

  • Facilitate progression of effort from roadmap to project intake and project initiation, including prioritization, cost-benefit analysis, and other pre-project tasks. Develop a structured framework for prioritization that ensures mission-critical support needs are met while also advancing right-sized enhancements that drive continuous improvement.

  • Ensure operational metrics, roadmaps, goals/outcomes, project status, and other critical reports outs for the data department are updated appropriately. Identify and help remove operational roadblocks that limit team effectiveness, including process inefficiencies, unclear responsibilities, or misaligned priorities. Facilitate necessary resource capacity/demand activities include planning, onboarding, tracking, and support for both employee and contractual staff across all enterprise data teams.

  • Ensure cross-team collaboration, fostering a shared understanding of priorities, dependencies, and technical solutions. Create and uphold accountability structures to ensure work is completed efficiently and of high quality. Drive a culture of ownership, problem-solving, and continuous learning. Coach team leads on best practices for planning, reporting, and cross-functional collaboration. Promote the use of generative AI tools to boost team creativity, efficiency, and skill development.

  • Serve as the bridge between technology teams and business stakeholders, ensuring both sides understand priorities, constraints, and impacts. Maintain a strong grasp of enterprise data systems, workflows, and potential challenges, ensuring informed decision-making.

  • Set firm but fair expectations with business stakeholders, ensuring they understand how and why prioritization decisions are made. Provide regular updates on progress, challenges, and key outcomes related to support and enhancements. Communicate realistic timelines, risks, and trade-offs when managing requests.

Qualifications

Must have 6+ years of experience with the following:

  • Experience leading/shaping IT data and continuous improvement teams in a large enterprise environment.

  • Experience with in Insurance, Financial Services, or related business domain.

  • Familiarity with cloud platforms (AWS, Azure), ITIL frameworks, and Agile methodologies in IT leadership, with a focus on managing IT projects,…

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