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Data Services Manager Jobs in Iowa (NOW HIRING)

Altorfer CAT

Enterprise Lead Data Engineer

Cedar Rapids, IA · On-site

$112K - $135K/yr

Implement and manage Medallion Architecture, including Bronze, Silver, and Gold data layers ... related services. * Create and maintain transformation logic, data models, SQL queries, stored ...

Altorfer CAT

Enterprise Lead Data Engineer

Cedar Rapids, IA · On-site

$100K - $132K/yr

Implement and manage Medallion Architecture, including Bronze, Silver, and Gold data layers ... related services. * Create and maintain transformation logic, data models, SQL queries, stored ...

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All JobsData Services JobsData Services Manager JobsData Services Manager Jobs in Iowa

Data Services Manager information

See Iowa salary details

$29.1K

$91.2K

$161.6K

How much do data services manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data services manager 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 is a data services manager?

A Data Services Manager is a professional responsible for overseeing the collection, management, and utilization of data within an organization. They lead teams that develop and maintain data systems, ensure data quality and security, and facilitate data-driven decision-making. Their role often involves collaborating with IT, analytics, and business departments to ensure that data services align with organizational goals. Data Services Managers also establish data policies and best practices, manage data integration projects, and support business intelligence initiatives.

What are the key skills and qualifications needed to thrive as a data services manager?

To thrive as a Data Services Manager, you need strong expertise in data management, analytics, and database administration, typically supported by a degree in information technology or a related field. Familiarity with data warehouse platforms, SQL, cloud services (such as AWS or Azure), and certifications like CDMP or PMP are often required. Leadership, problem-solving, and effective communication are crucial soft skills for managing teams and translating business needs into data solutions. These competencies ensure data integrity, drive informed decision-making, and support organizational goals through efficient data practices.

What are some common challenges a data services manager faces when overseeing cross-departmental data initiatives?

A Data Services Manager often encounters challenges related to aligning various departments’ data needs and priorities. Coordinating data governance, standardization, and quality control across teams can be complex, as each department may use different systems and terminology. Effective communication and stakeholder management are crucial for ensuring smooth data integration and adoption of best practices. Additionally, balancing ongoing support for current data services while implementing new projects requires strong organizational and time management skills.

What is the difference between Data Services Manager vs Data Analyst?

AspectData Services ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related field; often managerial certificationsBachelor's in Statistics, Data Science, or related field; certifications like Microsoft Data Analyst are common
Work EnvironmentLeads data teams, manages data infrastructure, collaborates with IT and business unitsAnalyzes data sets, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across industries for data reporting and insights

The Data Services Manager oversees data infrastructure and team management, focusing on data strategy and operations. In contrast, Data Analysts primarily interpret data, generate reports, and support business decisions. Both roles require strong analytical skills, but the manager role involves leadership and technical oversight, while the analyst role emphasizes data interpretation and reporting.

What are popular job titles related to Data Services Manager jobs in Iowa?

For Data Services Manager jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Data Services Manager jobs in Iowa look for?

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

What cities in Iowa are hiring for Data Services Manager jobs?

Cities in Iowa with the most Data Services Manager job openings:

Data Services Manager jobs near you
Infographic showing various Data Services Manager job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $91,245 per year, or $43.9 per hour.

Director Data Management- Hybrid- Des Moines, Iowa

American Enterprise Mutual Holding

Des Moines, IA • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 25 days ago

Key responsibilities

  • Lead the design, delivery, and modernization of the enterprise data platform, including migration from legacy systems to Azure Databricks Lakehouse.

  • Oversee and guide the data engineering team, ensuring the development of scalable, reliable, and business-ready data assets.

  • Partner with architecture, analytics, governance, and business leaders to align the data platform with enterprise objectives.

Job description

Wellabe is looking for a Director of Data Management to join our team.  As a Director of Data Management, you will report to Chief Data & Analytics Officer and lead the design, delivery, and modernization of our enterprise data platform. This role will oversee the migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using the medallion architecture, establishing a scalable, high-performance single source of truth that powers analytics, reporting, and AI/ML across the insurance value chain.

As a senior leader, you will guide the onsite and remote data engineering team, set data platform strategy, and ensure delivery of cloud-native, reliable, and business-ready data assets. You will partner with architecture, analytics, governance, and business leaders to align the enterprise data platform with business objectives.

Core Responsibilities
  • Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization.
  • Oversee data modernization efforts, including migration from legacy Azure SQL Server to Azure Databricks Lakehouse.
  • Lead and mentor data engineers, fostering technical excellence and delivery accountability.
  • Partner with enterprise data and solution architects to ensure data models, pipelines, and platform design meet business needs.
  • Transform a fragmented data ecosytem to deliver a single source of truth for insurance domains.
  • Drive cloud-native engineering best practices (ETL/ELT optimization, CI/CD, DevOps, cost efficiency, 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, aligning data investments with business value, strategic initiatives, and operational outcomes.
  • Manage budget, resourcing, and vendor relationships to scale platform capabilities.
  • Stay current on emerging technologies (Databricks, streaming, AI/ML enablement) to evolve the platform roadmap.
  • Own the Databricks platform and help guide business users on adoption of the Lakehouse.
Qualifications
  • Expertise with Azure Data Services (Data Lake, Data Factory, Synapse, Event Hub, Key Vault).
  • Ability to lead teams while defining enterprise platform strategy and technical roadmap.
  • Excellent communication and leadership skills influence technical and business stakeholders.
  • Familiarity with the DAMA/DMBOK practice and standards.
  • Familiarity with streaming/real-time ingestion (Kafka, Event Hub) is required.
  • 10+ years of experience in data engineering, architecture, or platform leadership, with at least 5 years in team management. Insurance or financial services experience is required.
  • Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems in Databricks or Snowflake.
  • Hands-on experience with Databricks Lakehouse (PySpark, Delta Lake, Unity Catalog).
  • Strong background in data modeling, ETL/ELT frameworks, and data warehousing.
  • Experience working with compliance regulations and handling of PHI/PII data.
  • Exposure to AI/ML and data science workloads in Databricks or Snowflake.
  • Experience with DevOps and automation frameworks (Azure DevOps, Terraform, GitHub Actions).
Education
  • 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
Benefits
  • Hybrid availability
  • 401(k) with company match
  • Health insurance
  • Paid time off, holidays
  • Volunteer time off
  • Lifestyle Spending Account (LSA)
  • Paternity leave
Growth opportunities

We believe each of us has potential to grow and adapt with our business. We take your career as seriously as you do. Helping you develop your skills and talents leads to opportunities — not only for you, but also for our company. That’s why we provide:

  • LinkedIn Learning Premium access
  • CliftonStrengths® assessment and coaching
  • On-site and virtual workshops and cohorts featuring world-class content from FranklinCovey, Crucial Learning, Gallup, and more 
  • Free world-class insurance acumen courses through AHIP and LOMA
  • Reimbursement and bonus opportunities for professional designations and certifications, including a tuition reimbursement program 
  • Opportunities to take part in Wellabe's mentorship programs 
About Wellabe

Since 1929, Wellabe has been finding solutions to help our customers protect their health and financial well-being. And we’re committed to fostering an internal culture of inclusivity, well-being, and development so each of our team members can succeed. Learn more about Wellabe’s culture of betterment by visiting wellabe.com/culture.

Wellabe is full of smart, caring, hard-working people with a broad range of talents who understand collaboration is key. We bring our best selves every day, to connect with others to solve problems, spark innovation, and bring ideas to life. Meet the team and learn what makes Wellabe a great place to work by visiting wellabe.com/news/employee-spotlights.

Our core values:

  • Be dedicated: Show unwavering commitment by proactively taking initiative, setting clear goals, and managing time effectively.
  • Be trustworthy: Take accountability for actions, navigate difficult conversations with integrity, and build strong relationships through consistent, honest behavior.
  • Be determined: Demonstrate enthusiasm and a relentless drive to overcome obstacles and achieve goals.
  • Be collaborative: Foster teamwork by being self-aware, actively listening, and effectively communicating across all levels.
  • Be open: Embrace diversity and new ideas to create an inclusive environment.
  • Be generous: Embody generosity and compassion by serving a greater purpose and helping others.
  • Be better: Commit to continuous improvement and adapt effectively to change.
  • Be well: Prioritize physical and mental health, manage stress, and demonstrate emotional intelligence.

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