IT Manager/Engagement Lead for Enterprise Data
ViziRecruiter,LLC., Madison, WI, United States
Introduction
We’re motivated by the fact that educators take care of our children’s future, and we believe they deserve someone to look after theirs. We help educators identify their financial goals and develop plans to achieve them. This includes insurance to protect what they have today and financial products to help them prepare for their future.
Overview Horace Mann is seeking an experienced and strategic
IT Manager/Engagement Lead for Enterprise Data to assist with coordinating across multiple teams: Data Governance, Data Enablement Real-Time Services, Data Warehousing, and Data Reporting.
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. The candidate will encourage partners to use generative AI to enhance productivity and creativity.
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.
Responsibilities Strategic Prioritization & Business Alignment
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.
Leadership & Team Management
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.
Act as a
central point of escalation and resolution for cross-team resource conflicts or competing priorities.
Promote the use of generative AI tools to boost team creativity, efficiency, and skill development.
Technical & Business Understanding
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.
Stakeholder Communication & Expectation Management
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.
Requirements Education
Bachelor’s degree in Computer Science, Information Technology, Business Administration, or a related field.
Experience
6+ years of experience in IT leadership, with a focus on
managing IT projects, technical support, and/or system enhancements .
Proven track record of
making strategic prioritization decisions that drive business value .
Experience implementing generative AI technologies in development workflows.
Skills & Competencies
Technical & Business Expertise
Familiarity with at least one area of
Data Management , including but not limited to,
data intensive applications, data development lifecycles, data analytics, business intelligence, data governance, and/or data-driven decision making .
Ability to translate
business needs into technical priorities and vice versa .
Ability to view the enterprise data ecosystem holistically and identify systemic issues that affect multiple teams or business areas.
Familiarity with
modern planning and ticketing systems (e.g., ServiceNow, Enterprise One, Monday, Jira, Azure DevOps) and IT project/portfolio management best practices .
Familiarity with
change management frameworks to support adoption of new processes, tools, or prioritization frameworks across data teams.
Proficiency in leveraging generative AI tools like ChatGPT, Copilot, or similar to enhance IT workflows.
Leadership & Communication
Strong leadership skills, with the ability to
motivate, support, and guide teams in a fast-paced environment.
Experience with
IT portfolio planning, tracking, and senior level report outs.
Ability to
set clear expectations and communicate priorities firmly yet diplomatically to stakeholders.
Experience in
negotiating and influencing senior leaders on data priorities and trade-offs .
Strong facilitation and
conflict resolution skills, with the ability to mediate between diverse stakeholders and align differing viewpoints.
Preferred Qualifications
Experience leading/shaping
IT data and continuous improvement teams in a large enterprise environment.
Experience within
Insurance , Financial Services, or related business domain.
Familiarity with
cloud platforms (AWS, Azure), ITIL frameworks, and Agile methodologies .
#J-18808-Ljbffr
Overview Horace Mann is seeking an experienced and strategic
IT Manager/Engagement Lead for Enterprise Data to assist with coordinating across multiple teams: Data Governance, Data Enablement Real-Time Services, Data Warehousing, and Data Reporting.
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. The candidate will encourage partners to use generative AI to enhance productivity and creativity.
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.
Responsibilities Strategic Prioritization & Business Alignment
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.
Leadership & Team Management
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.
Act as a
central point of escalation and resolution for cross-team resource conflicts or competing priorities.
Promote the use of generative AI tools to boost team creativity, efficiency, and skill development.
Technical & Business Understanding
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.
Stakeholder Communication & Expectation Management
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.
Requirements Education
Bachelor’s degree in Computer Science, Information Technology, Business Administration, or a related field.
Experience
6+ years of experience in IT leadership, with a focus on
managing IT projects, technical support, and/or system enhancements .
Proven track record of
making strategic prioritization decisions that drive business value .
Experience implementing generative AI technologies in development workflows.
Skills & Competencies
Technical & Business Expertise
Familiarity with at least one area of
Data Management , including but not limited to,
data intensive applications, data development lifecycles, data analytics, business intelligence, data governance, and/or data-driven decision making .
Ability to translate
business needs into technical priorities and vice versa .
Ability to view the enterprise data ecosystem holistically and identify systemic issues that affect multiple teams or business areas.
Familiarity with
modern planning and ticketing systems (e.g., ServiceNow, Enterprise One, Monday, Jira, Azure DevOps) and IT project/portfolio management best practices .
Familiarity with
change management frameworks to support adoption of new processes, tools, or prioritization frameworks across data teams.
Proficiency in leveraging generative AI tools like ChatGPT, Copilot, or similar to enhance IT workflows.
Leadership & Communication
Strong leadership skills, with the ability to
motivate, support, and guide teams in a fast-paced environment.
Experience with
IT portfolio planning, tracking, and senior level report outs.
Ability to
set clear expectations and communicate priorities firmly yet diplomatically to stakeholders.
Experience in
negotiating and influencing senior leaders on data priorities and trade-offs .
Strong facilitation and
conflict resolution skills, with the ability to mediate between diverse stakeholders and align differing viewpoints.
Preferred Qualifications
Experience leading/shaping
IT data and continuous improvement teams in a large enterprise environment.
Experience within
Insurance , Financial Services, or related business domain.
Familiarity with
cloud platforms (AWS, Azure), ITIL frameworks, and Agile methodologies .
#J-18808-Ljbffr