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ERP Data Manager - Kiewit Technology Group


Omaha, NE, US

Requisition ID: 160819 

Job Level: Senior Level 

Home District/Group: DHO Information Technology Group 

Department: Information Technology 

Market: Corporate Home Office 

Employment Type: Full Time 

Position Overview

The Manager of ERP Data Program’s primary responsibility is to oversee, manage, and deliver on all projects with the Data Workstream of our ERP Prep and ERP Implementation program.

 Some of the programs that are defined under this role include ERP Master Data Management, ERP Meta Data Management, ERP Transactional Data Governance, ERP Data Conversions, Data Assessment Between New and Legacy ERP, Data Archiving, and the Reporting and Analytical Updates for the new ERP. This is not an exhaustive list. Based on the skills, experience, and expertise of the candidate, further engagement in additional ERP related projects and activities will also be with the scope of this role.

This role will work closely with the ERP Director, the ERP Program Manager, ERP Architects, ERP Technical Leads, ERP Functional Leads, and key Business Units and Stakeholders throughout all phases of the various data work streams, including scope definition, discovery and collection of business requirements, data cleansing, acceptance testing/validation and final validation/sign-off, to ensure quality and integrity in process and deliverables, and timely delivery of scheduled tasks. 

This role will develop and manage the execution of data strategies focused on the next ERP and will coordinate and collaborate with the Data Architecture team to ensure the ERP related detailed data strategy efforts conjoin effectively with the overall Kiewit data strategy work.

This role will evolve over the course of the ERP Program, as the ERP program progresses, and the scope of the various projects become more clearly defined.


District Overview

Kiewit Technology Group (KTG) builds solutions to enable and support a $12.5 billion company. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team deploys technology solutions to the field and home office departments that increase profitability by maximizing the way we use our people and resources in daily operations. KTG uses systems and tools that manage every part of Kiewit’s business and lifecycle of a project to improve planning and day-to-day execution in the field by giving our people real-time data to make faster, smarter decisions. When you join KTG, you will make an impact on the critical work we do every day. 


This position will be based out of our Kiewit Business Center at 12720 I Street. Omaha, NE. This is a shared service center in a professional office setting.  


  • Work with ERP Team Leadership business stakeholders to define conversion scope
  • Consult business stakeholders and functional team members to understand business and system rules that carry implications for data migration decisions and strategy
  • Analyze legacy data structures and data to develop data conversion requirements
  • Document and perform source to target field mapping
  • Identify, recommend and apply logic to transform data from source format to target specification in preparation for load
  • Identify tools (e.g., MS Excel, MS Access, custom programs, etc.) to perform field mapping, data transformation and default value assignment, all of which are part and parcel in preparation of the conversion load file
  • Define and communicate requirements for extraction and layout of source data
  • Build MS Excel templates for data collection
  • Work with business stakeholders to identify data cleansing needs; develop and oversee data cleansing strategy
  • Keep data secure and confidential
  • Establish a validation strategy, work with business stakeholders to secure data validation resources, and guide those resources in implementing the strategy
  • Perform preliminary validations to ensure completeness and data integrity
  • Review error reports, troubleshoot and determine corrective action
  • Compile requirements for development of custom conversion and load program(s), and test delivered solution(s) according to conversion specifications
  • Ensure minimal disruption to business operations during the conversion process
  • Work in conjunction with outside vendors and consulting services, as required


  • Core competencies include the demonstrated ability to:
    • quickly learn/understand computer applications, data structures and system-driven processes
    • use effective verbal and written communication skills
    • perform tasks with a high attention to detail
    • collect, analyze and organize information
    • analyze issues/errors  and identify effective resolution
    • effectively plan and prioritize tasks
    • complete tasks within pressured situations with concrete deadlines
  • Must be proficient with MS Excel and MS Word, or equivalent(s).
  • Experience with database design and development, including proficiency with MS Access and/or SQL Server, is preferred.
  • One or more year(s) experience with systems architecture, systems development and/or data architecture is highly desirable.
  • One or more year(s) experience performing data conversion is preferred.
  • One or more year(s) experience with SAP, that includes one or more of the following, is preferred: data conversion, system development, system configuration, reporting and analysis, or other role that provides familiarity with the data structures and objects pertaining to one or more SAP modules
  • Associates or Bachelors Degree in Computer Science, Information Management or Information Technology, or equivalent combination of education and relevant industry experience, is highly desirable.
  • Experience with S4 HANA migration projects is strongly preferred.  Will consider with other ERP migration project experience


Other requirements:


  • Regular, reliable attendance .
  • Work productively and meet deadlines in a timely manner.
  • Communicate and interact effectively and professionally with supervisors, employees and others; individually or in a team environment.
  • Perform work safely and effectively.


We offer our fulltime staff employees a comprehensive benefits package that’s among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.


We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

There’s no limit to what you’ll do at Kiewit. Whether you’re building or supporting projects that provide communities with dependable energy, safe transportation, clean water, or access to health care, the work you do will positively impact people’s lives for generations to come. 

Here you’ll have endless opportunities to expand your expertise through on-the-job experience and internal and external training and development opportunities. 

We offer our full-time staff employees a comprehensive benefits package that’s among the best in our industry. From top-tier health care programs to employee assistance programs and retirement planning, we aim to provide you with the tools you need to be successful in the areas of life that matter most to you.

Kiewit is an equal-opportunity employer, and we believe a diverse workforce is vital to the success of our business. We continue our efforts to attract, develop and retain employees from all backgrounds who are passionate about our industry.  

We are committed to veteran and military hiring and will consider relevant military experience as equivalent to qualification requirements.

Nearest Major Market: Omaha
Nearest Secondary Market: Council Bluffs

Job Segment: Data Conversion, ERP, Data Management, Data Architect, Information Technology, Data, Technology