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Data Operations Director Jobs in Iowa (NOW HIRING)

The Director of Data aligns data priorities with business, Operations, R&D, Finance, etc. needs, restores trust in enterprise data, and ensures data investments translate into measurable business ...

The Director of Data aligns data priorities with business, Operations, R&D, Finance, etc. needs, restores trust in enterprise data, and ensures data investments translate into measurable business ...

The Director of Data aligns data priorities with business, Operations, R&D, Finance, etc. needs, restores trust in enterprise data, and ensures data investments translate into measurable business ...

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Showing results 1-20

Data Operations Director information

See Iowa salary details

$48.8K

$120.7K

$187.9K

How much do data operations director jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data operations director in Iowa is $120,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,300.00 and $153,600.00 per year, depending on experience, location, and employer.

What does a Data Operations Director do?

A Data Operations Director is responsible for overseeing the management, organization, and optimization of a company's data-related processes and teams. They ensure data quality, security, and accessibility, while aligning data management with business goals. This role often involves supervising data analysts, engineers, and other professionals, and implementing strategies for data governance and compliance. The Data Operations Director also collaborates with other departments to support data-driven decision making and operational efficiency.

How does a Data Operations Director typically collaborate with cross-functional teams to ensure data integrity and accessibility?

A Data Operations Director works closely with IT, data engineering, analytics, and business units to establish robust data governance practices and streamline data workflows. They often lead efforts to standardize data definitions, enforce quality controls, and implement access protocols to ensure that stakeholders across the organization can use reliable data for decision-making. Regular meetings, project management tools, and clear communication channels are essential for aligning priorities and resolving data-related issues efficiently. This cross-functional collaboration is key to maintaining high data integrity and fostering a data-driven culture.

What are the key skills and qualifications needed to thrive as a Data Operations Director, and why are they important?

To thrive as a Data Operations Director, you need expertise in data management, analytics, process optimization, and a relevant degree such as in computer science, statistics, or information systems. Familiarity with data warehousing solutions, ETL tools, cloud platforms (like AWS or Azure), and certifications such as Certified Data Management Professional (CDMP) are commonly required. Leadership, strategic thinking, and strong communication skills are essential for driving cross-functional teams and aligning data initiatives with business goals. These capabilities ensure efficient, secure, and high-quality data operations that support informed decision-making and organizational growth.

What is the difference between Data Operations Director vs Data Analyst?

AspectData Operations DirectorData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentLeadership role overseeing data teams, strategic planningAnalyzing data sets, generating reports, supporting decision-making
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across various industries for data insights and reporting

The Data Operations Director focuses on managing data teams and strategic data initiatives, while the Data Analyst concentrates on analyzing data to generate insights. Both roles require strong data skills, but differ in scope and responsibilities.

What are the most commonly searched types of Data Operations jobs in Iowa?

The most popular types of Data Operations jobs in Iowa are:

What cities in Iowa are hiring for Data Operations Director jobs?

Cities in Iowa with the most Data Operations Director job openings:

Infographic showing various Data Operations Director job openings in Iowa as of August 2026, with employment types broken down into 100% Full Time. Highlights an 69% In-person, 10% Hybrid, and 21% Remote job distribution, with an average salary of $120,720 per year, or $58 per hour.

Full-time

Retirement, PTO

Posted 21 days ago


Job description

Overview

The Director of Data defines Kemin's enterprise data strategy and provides architectural direction, standards, and prioritization to enable analytics, business intelligence, and AI initiatives. Operating within a hybrid model, this role sets enterprise data architecture expectations and governance while closely partnering with IT teams responsible for execution and platform operations. The Director of Data aligns data priorities with business, Operations, R&D, Finance, etc. needs, restores trust in enterprise data, and ensures data investments translate into measurable business value.

Join the Kemin Team and Transform Lives!

We are a privately held, family-owned-and-operated global biotechnology company driven by curiosity and committed to transforming the quality of life for people, pets, and the planet.

 

We create solutions that strengthen health and wellbeing, provide nutrition and immune support for pets and production animals, safeguard the planet's natural resources, and protect the global food supply chain for generations to come.

 

We supply over 500 specialty ingredients for various industries, including human and animal health and nutrition, pet food, aquaculture, nutraceutical, food technologies, crop technologies, textiles, biofuels, and animal vaccines.

 

We employ 3,500 global employees and operations in 90 countries, including manufacturing facilities in Belgium, Brazil, China, Egypt, India, Italy, San Marino, Singapore, South Africa, and the United States.

As a valued member of our team, you'll enjoy a comprehensive benefits package designed to support your financial, physical, and professional well-being:

  • Competitive Financial Package: Enjoy a rewarding salary, uncapped bonus opportunities, a 401k match program, and generous paid vacation and holidays.
  • Health and Wellness Support: Stay fit and healthy with our fitness reimbursement for the whole family, access to an on-site fitness center, a restaurant offering seasonal fresh food options, and free fresh fruit in break areas.
  • Career Development and Advancement: Unlock your potential with opportunities for growth and development throughout your entire career.
  • Continued Learning Opportunities: Grow your skills with our in-house learning platforms, offering thousands of training resources both live and online, and take advantage of tuition reimbursement for external post-secondary pursuits.
  • Service Opportunities: Make a positive impact with paid time off for service, partnerships with The World Food Programme and Habitat for Humanity, and local community initiatives.
Responsibilities

Enterprise Data Strategy & Direction

  • Establish the enterprise data strategy and targetstate architecture that supports analytics, AI, and decisionmaking use cases.
  • Translate business, Operations, Finance, R&D, etc. priorities into clear data architecture and sequencing guidance.
  • Define what "analytics-ready" and "AI-ready" data means at Kemin and ensure alignment across teams.

Data Standards & Oversight

  • Define and maintain data standards, patterns, and design principles for structured and unstructured data.
  • Provide functional leadership and architectural direction to data architecture resources operating within IT.
  • Chair or cochair architecture governance forums to review designs, resolve tradeoffs, and approve exceptions.

Data Governance, Quality & Trust Enablement

  • Define governance frameworks, roles, and accountability models aligned to highvalue data domains.
  • Set data quality thresholds and improvement priorities based on analytics and AI business needs.
  • Partner with IT and business data owners to remediate critical data quality issues and improve usability.

Data Analytics and Data Engineering

  • Define platform expectations and workload strategies (e.g., Databricks, Fabric) to support analytics and AI use cases.
  • Partner with IT to ensure platform decisions are aligned to data strategy rather than infrastructure convenience alone.
  • Ensure priority AI pilots and analytics initiatives are supported by appropriate data foundations and pipelines.

Cross Functional Leadership & Development

  • Partner with Finance to define ROI measurement frameworks and baseline metrics for data and AI investments.
  • Align stakeholders on priorities, trade offs, and sequencing when data quality or architecture constraints exist.
  • Communicate data strategy, progress, and risks clearly to senior leadership in business terms.
Qualifications
  • Education and Experience:
    • Bachelors Degree in Data Science, Computer Science, or Analytics with 10+ years of related experience.
  • Strong executive communication skills; able to translate data strategy into business outcomes for non-technical leadership.
  • Background in manufacturing, life sciences, chemicals, CPG, or other R&D-intensive, data-complex environments.
  • Demonstrated success improving data quality, trust, and usability across fragmented systems and legacy platforms.
  • Experience partnering with IT architecture and engineering teams while setting enterprise data standards, priorities, and design expectations.
  • Strong understanding of modern data platforms (e.g., lakehouse architectures) and their role in enabling analytics and AI.
  • Proven ability to influence senior stakeholders and drive alignment without direct authority.
  • Experience establishing or scaling data governance frameworks, stewardship models, or domain ownership structures.

We are an equal opportunity employer. We consider all qualified applicants without regard to race, color, creed/religion, national origin, ancestry, citizenship or immigration status (where applicable), sex, sexual orientation, gender identity or expression, pregnancy/childbirth/breastfeeding or related conditions, age (40+), disability (including the use of a service animal), genetic information, marital status, familial or caregiver status, military or veteran status, status as a victim of domestic violence, reproductive health decisionmaking, and any other status protected by applicable federal, state, or local law. We also prohibit retaliation for raising concerns or participating in an EEO process. Applicants who need a reasonable accommodation to apply or interview can email TalentAcquisition.US@Kemin.com.

A post-offer background check and drug screen is required.  Additional pre-employment requirements may be necessary based on position.

Kemin is a drug-free and tobacco-free campus. 

#LI-MN1

Employment Type: FULL_TIME