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Data Management Jobs in Iowa (NOW HIRING)

Jobtailor

Director, Data Management

Des Moines, IA · On-site

$170 - $250/hr

Prioritize and manage the enterprise data portfolio and align investments with business value and strategic initiatives * Manage budget, resourcing, and vendor relationships * Evolve the platform ...

Posted today

Pwc

Data Strategy-Manager

Des Moines, IA · On-site

$99K - $232K/yr

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

Pwc

Data Governance- Manager

Des Moines, IA · On-site

$99K - $232K/yr

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

Yale University

$68K - $120K/yr

Experience with Power BI, Microsoft Fabric, SQL, and other Microsoft Data Management and Reporting platforms 5. Experience with health systems data Principal Responsibilities 1. Consult to faculty ...

Landus

Sales & Business Data Lead

Boone, IA

Pricing & Product Cost Management Maintain and update product cost sheets to ensure Territory ... Ensure product master data, cost sheets, and pricing information remain consistent, accurate and ...

Landus

Sales & Business Data Lead

Boone, IA · On-site

Pricing & Product Cost Management • Maintain and update product cost sheets to ensure Territory ... data. ERP & Data Management • Serve as the primary administrator for commercial pricing data ...

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All JobsData Management JobsData Management Jobs in Iowa

Data Management information

See Iowa salary details

$29.1K

$91.2K

$161.6K

How much do data management jobs pay per year?

As of Aug 16, 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.

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?

Data management professionals need strong analytical skills, attention to detail, and proficiency with database tools such as SQL and Excel. Knowledge of data governance, data quality, and familiarity with data management software are also important for effective data organization and security.

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.

More about Data Management jobs

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 job categories do people searching Data Management jobs in Iowa look for?

The top searched job categories for Data Management jobs in Iowa are:

What cities in Iowa are hiring for Data Management jobs?

Cities in Iowa with the most Data Management job openings:

Data Management jobs near you
Infographic showing various Data Management job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $91,245 per year, or $43.9 per hour.

Director, Data Management

Jobtailor

Des Moines, IA • On-site

$170 - $250/hr

Other

Posted 23 hours ago

Posted today

Job description

  • Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization
  • Oversee migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using medallion architecture
  • Lead and mentor data engineers and guide the onsite and remote data engineering team
  • Partner with enterprise data and solution architects on data models, pipelines, and platform design
  • Transform a fragmented data ecosystem into a single source of truth for insurance domains
  • Drive cloud-native engineering best practices, including ETL/ELT optimization, CI/CD, DevOps, cost efficiency, and observability
  • Ensure data availability, scalability, and reliability for analytics, reporting, and digital initiatives
  • Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access
  • Prioritize and manage the enterprise data portfolio and align investments with business value and strategic initiatives
  • Manage budget, resourcing, and vendor relationships
  • Evolve the platform roadmap based on emerging technologies such as Databricks, streaming, and AI/ML
  • Own the Databricks platform and guide business users on Lakehouse adoption
  • Report to the Chief Data & Analytics Officer
Requirements
  • Expertise with Azure Data Services, including Data Lake, Data Factory, Synapse, Event Hub, and Key Vault
  • Ability to lead teams while defining enterprise platform strategy and technical roadmap
  • Excellent communication and leadership skills to influence technical and business stakeholders
  • Familiarity with DAMA/DMBOK practices and standards
  • Familiarity with streaming/real-time ingestion, including Kafka and Event Hub, required
  • 10+ years of experience in data engineering, architecture, or platform leadership
  • At least 5 years of team management experience
  • Insurance or financial services experience required
  • Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems using Databricks or Snowflake
  • Hands-on experience with Databricks Lakehouse, PySpark, Delta Lake, and Unity Catalog
  • Strong background in data modeling, ETL/ELT frameworks, and data warehousing
  • Experience with compliance regulations and handling PHI/PII data
  • Exposure to AI/ML and data science workloads in Databricks or Snowflake
  • Experience with DevOps and automation frameworks, including Azure DevOps, Terraform, and GitHub Actions
  • Bachelor's degree in computer science, business/data analytics, management information systems, information technology, or related field; combination of education and/or relevant work experience may be accepted in lieu of degree

Demonstrates expertise in defining and executing enterprise data platform strategies, with a strong focus on Azure Data Services, Databricks Lakehouse, and data modernization. Proven ability to lead teams, manage budgets, and drive cloud-native engineering best practices while ensuring data availability and compliance.

Highest-signal resume keywords
  • Azure Data Services
  • Databricks Lakehouse
  • Data Engineering Leadership
  • ETL/ELT Optimization
  • Insurance Domain Experience
ATS Optimization KeywordsHard Skills
  • Data Modeling
  • PySpark
  • Delta Lake
  • Unity Catalog
  • CI/CD
  • DevOps
  • ETL Frameworks
  • Data Warehousing
  • Streaming Ingestion
  • Compliance Regulations
Soft Skills
  • Leadership
  • Communication
  • Team Management
  • Stakeholder Influence
  • Collaboration
Industry Keywords
  • DAMA/DMBOK
  • Data Modernization
  • PHI/PII Data
  • Financial Services
  • Insurance
Tools & Technologies
  • Azure Databricks
  • Azure SQL Server
  • Azure Data Factory
  • Azure Synapse
  • Event Hub
  • Azure DevOps
  • Terraform
  • GitHub Actions
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