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Data Modernization Jobs in Iowa (NOW HIRING)

Google Data Specialist

Des Moines, IA · On-site

$70K - $196K/yr

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Data Architect

Cedar Rapids, IA · On-site

$62.50 - $80.25/hr

Lead modernization initiatives, including migrations from legacy platforms to cloud-based solutions. * Support scalability, performance tuning, and cost optimization of data platforms. * Build strong ...

Data Architect

Cedar Rapids, IA · On-site

$62.75 - $80.75/hr

... modernization initiatives, including migrations from legacy platforms to cloud-based solutions. • Support scalability, performance tuning, and cost optimization of data platforms. • Build strong ...

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Data Modernization information

What jobs pay $500,000 a year in the US?

In the field of data modernization, senior roles such as Chief Data Officer, Data Science Director, or Vice President of Data often have salaries reaching or exceeding $500,000 annually, especially in large organizations. These positions typically require extensive experience, advanced skills in data architecture, analytics, and leadership, and may include performance bonuses and stock options.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and often involve overseeing large teams and strategic initiatives.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics and automation techniques to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

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

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization professionals, data analysts, and database administrators are likely to continue thriving as AI automates routine tasks but still requires human oversight, interpretation, and strategic decision-making. These roles involve managing complex data systems, ensuring data quality, and applying domain expertise that AI cannot fully replicate. Skills in data governance, programming, and understanding AI tools will enhance job security in this field.
What are popular job titles related to Data Modernization jobs in Iowa? For Data Modernization jobs in Iowa, the most frequently searched job titles are:
Infographic showing various Data Modernization job openings in Iowa as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Modernization Program Manager( Hybrid)

Data Modernization Program Manager( Hybrid)

Cognizant Technology Solutions

West Des Moines, IA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

41st of 58 rated business consultants


Job description

Role Summary -
We are seeking a seasoned Program manager to lead a large-scale enterprise Data Modernization Program. This role will serve as the strategic center for transforming Insurance's data landscape from legacy systems and siloed data stores to a modern, cloud-native, scalable data platform built on medallion architecture principles. The Program Manager will bring deep, hands-on experience delivering complex data transformation programs in regulated financial services or insurance environments. Beyond program execution, this leader will actively shape how the organization thinks about data sharing thought leadership with executives, guiding architecture decisions, resolving ambiguity from prior experience across business, technology, and vendor communities.
Key Responsibilities
Program Leadership & Strategic Direction
  • Own end-to-end accountability for the Data Modernization Program: scope, schedule, budget, risk, and quality across all workstreams.
  • Define and communicate a clear program vision and roadmap, translating business strategy into executable data transformation plans.
  • Serve as the primary escalation point for program-level issues, applying pattern recognition from prior modernization programs to rapidly resolve blockers.
  • Establish program governance structures including steering committees, operating rhythms, decision frameworks, and RACI models.

Thought Leadership & Architecture Guidance
  • Proactively share insights and lessons learned from prior data modernization programs to educate stakeholders, pre-empt common failure modes, and accelerate decision-making.
  • Act as a trusted advisor to the CIO and business leadership on data strategy, platform selection, and modernization sequencing.

Medallion Architecture Implementation
  • Partner with data engineering leads to enforce standards for data contracts, schema versioning, partition strategies, and metadata management across all layers.

Vendor & Partner Management
  • Lead RFP processes, vendor selection, and contract negotiations for cloud platforms, data integration tools, and systems integrators.
  • Evaluate vendor roadmaps against customers Insurance's long-term data strategy and provide recommendations on build vs. buy vs. partner decisions.
  • Drive effective governance of third-party delivery teams embedded within the program, ensuring alignment with internal standards and culture.

Cross-Functional Stakeholder Alignment
  • Partner with Change Management and Communications to ensure organizational readiness, training, and adoption of modernized data capabilities.

Preferred Qualifications
  • Experience in Data modernization projects preferably with Insurance customers
  • Expertise in Databricks data lake platform
  • Min 5 yrs of experience in a program director role in similar programs
  • Experience with data architecture and data engineering
  • PMP, PgMP, SAFe, or equivalent program management certification will be a plus

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply-even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.
Salary and Other Compensation:
Applications will be accepted until Aug 06, 2026,
The annual salary for this position is between $ 90,000 - $ 160,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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