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Data Management Jobs in Iowa (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make ...

Data Engineer

Davenport, IA · On-site

$108K - $130K/yr

Build, optimize, and manage datasets for analytics, reporting, and operational use * Ensure data quality, integrity, security, and adherence to privacy standards * Collaborate with teams across the ...

Data Engineer

Davenport, IA

$108K - $130K/yr

Build, optimize, and manage datasets for analytics, reporting, and operational use * Ensure data quality, integrity, security, and adherence to privacy standards * Collaborate with teams across the ...

Data Engineer

Davenport, IA · On-site

$108K - $130K/yr

Build, optimize, and manage datasets for analytics, reporting, and operational use * Ensure data quality, integrity, security, and adherence to privacy standards * Collaborate with teams across the ...

Data Architect

Des Moines, IA · On-site

$62.25 - $80/hr

Define, manage and enforce data governance, quality, security and compliance frameworks in partnership with Data Governance. * Create and maintain clear documentation of architectural decisions ...

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Data Management information

See Iowa salary details

$29.1K

$91.2K

$161.6K

How much do data management jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data management in Iowa is $91,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $117,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Data Management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data analysis, programming, and statistical knowledge, which can be acquired through training or certification programs at any age. Many professionals successfully transition into data analysis later in their careers by developing relevant skills and gaining experience with tools like Excel, SQL, and Python.

What Is a Data Management Analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in Data Management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL, data modeling, and knowledge of data governance and security practices. Familiarity with data management software such as Excel, Tableau, or specialized platforms, along with attention to detail and problem-solving abilities, are also important for success in this field.

What can you do with data management?

Data management involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field use tools like databases and data governance practices to support decision-making, compliance, and efficient operations within organizations.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database tools, data governance policies, and data quality standards to support business operations and decision-making.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

What are the most commonly searched types of Data Management jobs in Iowa? The most popular types of Data Management jobs in Iowa are:
What are popular job titles related to Data Management jobs in Iowa? For Data Management jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Data Management jobs? Cities in Iowa with the most Data Management job openings:

Assistant Director-Engineering (Data Enablement)

Principal Financial Group

Des Moines, IA • Hybrid

$141K - $170K/yr

Full-time

Posted 20 days ago


Job description

What You'll Do

We’re looking for an Assistant Director of Engineering to join our Retirement & Income Solutions (RIS) business, which serves participants in plan-sponsored retirement programs through income and advisory offerings. In this critical leadership role of data enablement capabilities, you’ll build and support high-performing data engineering teams, guide technical direction, and ensure the successful delivery of initiatives that strengthen customer outcomes and enable market insight. 

You’ll balance strategic leadership with hands-on engagement—partnering closely with product, business, data & analytics, and technology leaders while staying connected to the realities of execution across multiple teams.  

You’ll have the opportunity to: 

  • Drive priority decisions that deliver new data and AI capabilities while enabling high quality, trusted data across the full data lifecycle. 
  • Partner with product, business, data & analytics, and technology stakeholders to prioritize work and ensure teams stay focused on the highest value outcomes. 
  • Lead and support data engineers with diverse skill sets across cloud-based platforms (AWS, Snowflake, IDMC), on-premises technologies (Informatica PowerCenter), and mainframe DB2 environments. 
  • Collaborate with delivery managers to review performance metrics and foster a continuous improvement mindset. 
  • Serve as a people leader by mentoring and developing teams of high-impact data engineers. 
  • Work effectively with leaders and teams located both stateside and offshore in a globally distributed model. 
  • Execute against defined strategies while also influencing broader technical and organizational direction based on insights from your teams. 
  • Ensure robust data pipeline delivery, high-quality trusted data, and reliable deployments across multiple teams. 
  • Support large, cross-team initiatives requiring strong coordination, communication, and alignment. 

Act as an advocate for the responsible adoption of AI tools to improve data engineering productivity and effectiveness. 


Who You Are
  • Bachelor’s degree (preferably in computer science, engineering, technology, or a related field) or equivalent professional experience. 
  • 8+ years of enterprise level technical experience demonstrating increasing responsibility and impact. 
  • Be comfortable with flexible call times with our global staffing model. 

Leadership Experience: 

  • More than 2 years formally leading engineering teams of at least 15 team members 
  • Guiding engineering teams through complex technical and business challenges. 
  • Designing and delivering resilient, scalable solutions in large environments. 
  • Building alignment and consensus among diverse stakeholders. 
  • Navigating enterprise-level partnerships and dependencies. 

Leadership Qualities: 

  • Strategic, forward-thinking mindset with a bias toward action. 
  • Strength in operating in dynamic, evolving environments. 
  • Strong communication and collaboration skills across technical and nontechnical audiences. 

Skills That Help You Stand Out 

  • 4+ years of technology leadership experience managing and mentoring direct reports. 
  • Financial services industry experience. 
  • Strong use of data and metrics to identify issues, measure progress, and guide decisions. 
  • Solution architecture experience partnering closely with business leaders. 
  • Solid background in Agile practices and tools such as Jira. 
  • Experience with AWS, Snowflake, IDMC, and DB2, along with strong data modeling skills and expertise in shaping data product roadmaps, semantic layers, and scalable data solutions for analytics and consumption. 

Salary Range Information
Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
Salary Range (Non-Exempt expressed as hourly; Exempt expressed as yearly)
$141000 - $170000 / year
Time Off Program
Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don't accrue a bank of time off under FTO and there is no set number of days provided.
Pension Eligible
Yes

Work Environment

This role offers in-office, hybrid (blending at least three office days in a typical workweek), and remote work arrangements (only if residing more than 30 miles from Des Moines, IA, Raleigh, NC, or Charlotte, NC). You’ll work with your leader to figure out which option may align best based on several factors.

Work Authorization/Sponsorship

At this time, we're not considering candidates that need any type of immigration sponsorship now or in the future or those needing work authorization for this role. (This includes, but is not limited to students on F1-OPT, F1-CPT, J-1, etc.) 

Nonimmigrant Workers and Green Card for Employment-Based Immigrants

Investment Code of Ethics

For Principal Global Investors positions, you’ll need to follow an Investment Code of Ethics related to personal and business conduct as well as personal trading activities for you and members of your household. These same requirements may also apply to other positions across the organization.

Experience Principal

At Principal, we value connecting on both a personal and professional level. Together, we’re imagining a more purpose-led future for financial services – and that starts with you. Our success depends on the unique experiences, backgrounds, and talents of our employees. And we support our employees the same way we support our customers: with comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being. Check out our careers site to learn more about our purpose, values and benefits.

Principal is an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.


Posting Window
We will accept applications for 3 full days following the Original Posting Date, after which the posting may remain open or be removed based upon applications received. If we choose to post the job again, we will accept additional applications for at least 1 full day following the Most Recently Posted Date. Please submit applications in a timely manner as there is no guarantee the posting will be available beyond the applicable deadline.
Original Posting Date
5/22/2026
Most Recently Posted Date
5/22/2026
 

Principal uses artificial intelligence tools to assist in reviewing and evaluating job applications, fraud prevention, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Workforce (U.S.) Privacy Notice for more details on our practices and your data privacy rights.


LinkedIn Remote Hashtag


#LI-Remote

LinkedIn Hashtag


#LI-EW1Qualifications:
  • Bachelor’s degree (preferably in computer science, engineering, technology, or a related field) or equivalent professional experience. 
  • 8+ years of enterprise level technical experience demonstrating increasing responsibility and impact. 
  • Be comfortable with flexible call times with our global staffing model. 

Leadership Experience: 

  • More than 2 years formally leading engineering teams of at least 15 team members 
  • Guiding engineering teams through complex technical and business challenges. 
  • Designing and delivering resilient, scalable solutions in large environments. 
  • Building alignment and consensus among diverse stakeholders. 
  • Navigating enterprise-level partnerships and dependencies. 

Leadership Qualities: 

  • Strategic, forward-thinking mindset with a bias toward action. 
  • Strength in operating in dynamic, evolving environments. 
  • Strong communication and collaboration skills across technical and nontechnical audiences. 

Skills That Help You Stand Out 

  • 4+ years of technology leadership experience managing and mentoring direct reports. 
  • Financial services industry experience. 
  • Strong use of data and metrics to identify issues, measure progress, and guide decisions. 
  • Solution architecture experience partnering closely with business leaders. 
  • Solid background in Agile practices and tools such as Jira. 
  • Experience with AWS, Snowflake, IDMC, and DB2, along with strong data modeling skills and expertise in shaping data product roadmaps, semantic layers, and scalable data solutions for analytics and consumption. 
Education:UNAVAILABLEEmployment Type: FULL_TIME