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Chief Data Analytics Officer Jobs in Iowa (NOW HIRING)

Description SCHEDULE: Full-time; Exempt The Chief Financial Officer (CFO) is a key member of the ... Knowledge of physician compensation, strategic financial planning and analysis, forecasting and ...

... analytics, accessibility, privacy, and student-facing technologies. * Ability to build effective ... Experience leading technology modernization, cloud migration, cybersecurity maturity, data ...

Chief Financial Officer

Dubuque, IA · On-site

$200K - $220K/yr

Provide financial modeling and performance analysis to support executive decision-making * Direct ... in a CFO, Controller, or senior executive finance role * Experience overseeing complex, multi ...

Provide financial modeling, scenario analysis, and decision-support to guide major business ... CFO, or equivalent).* Demonstrated experience leading multi-functional finance teams including ...

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Chief Data Analytics Officer information

See Iowa salary details

$39K

$142K

$253.1K

How much do chief data analytics officer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for chief data analytics officer in Iowa is $142,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $173,800.00 per year, depending on experience, location, and employer.

What does a chief data analytics officer do?

A Chief Data Analytics Officer (CDAO) is a senior executive responsible for overseeing an organization's data strategy, analytics, and data-driven decision-making processes. They lead teams that collect, manage, and analyze data to extract valuable insights and drive business growth. The CDAO works closely with other leaders to align data initiatives with overall business goals, ensure data governance and security, and foster a data-driven culture across the organization.

What are the key skills and qualifications needed to thrive as a chief data analytics officer?

To thrive as a Chief Data Analytics Officer, you need advanced expertise in data science, analytics, and business strategy, typically supported by a degree in a quantitative field and substantial leadership experience. Familiarity with big data platforms (like Hadoop or Spark), data visualization tools (such as Tableau or Power BI), and certifications in analytics or data management are highly valuable. Strategic thinking, strong communication, and the ability to lead cross-functional teams set outstanding candidates apart. These skills ensure data-driven decision-making aligns with organizational goals and drives sustainable business growth.

What are the primary challenges a chief data analytics officer faces when integrating data-driven strategies across different departments?

One of the main challenges for a Chief Data Analytics Officer is ensuring alignment and collaboration between various departments that may have different data literacy levels, tools, and priorities. Overcoming data silos, standardizing data governance, and fostering a culture that values evidence-based decision-making require strong communication and change management skills. Additionally, it's important to balance quick wins with long-term strategic initiatives, and to clearly demonstrate the business value of analytics to gain ongoing support from stakeholders.

What is the difference between Chief Data Analytics Officer vs Data Analytics Manager?

AspectChief Data Analytics OfficerData Analytics Manager
CredentialsAdvanced degrees in data science, analytics, or related fields; leadership experienceBachelor's or master's in data analysis, statistics, or related fields
Work EnvironmentStrategic leadership, cross-departmental collaboration, executive-level decision makingTeam management, project oversight, data analysis execution
Industry UsageUsed in large organizations to set data strategyCommon in mid-sized to large companies managing analytics teams
Search & Comparison IntentUnderstanding executive roles in data leadershipUnderstanding managerial roles in data analytics

The Chief Data Analytics Officer focuses on strategic leadership and setting data-driven goals at the executive level, while the Data Analytics Manager handles day-to-day analytics projects and team management. Both roles require strong analytical skills, but the CDAO emphasizes strategic vision and organizational impact.

How much does a chief data analytics officer make?

A Chief Data Analytics Officer typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on industry, company size, location, and experience, and the role requires strong skills in data management, analytics tools, and leadership.
Infographic showing various Chief Data Analytics Officer 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $142,020 per year, or $68.3 per hour.

Director Data Management- Hybrid- Des Moines, Iowa

Des Moines, IA • On-site

Other

Medical, Retirement, PTO

Posted 22 days ago


Key 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.


Job description

Director Data Management- Hybrid- Des Moines, Iowa

Job Category: Data & Analytics

Requisition Number: DIREC001980

  • Posted : August 12, 2026
  • Full-Time
  • Hybrid
Locations

Showing 1 location

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.
  • 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
  • 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:

  • 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

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.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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