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Data Implementation Manager Jobs in Iowa (NOW HIRING)

Deloitte

Cyber Data Protection/PKI Manager

Davenport, IA

$105K - $142K/yr

Designing, implementing, and operating technology and process solutions to reduce data risk, including certificate lifecycle management, certificate infrastructure monitoring, and data protection ...

State of Iowa

Data Scientist 1

Des Moines, IA · On-site +1

$81K - $124K/yr

Researching and implementing techniques and tools in machine learning and artificial intelligence to make data analysis more efficient Managing, implementing and maintaining the Analytical and ...

Deloitte

Project - Data Engineer

Davenport, IA

$108K - $130K/yr

Implement workflow automation and scheduling (e.g., Airflow/MWAA, Step Functions, Glue) with proper ... Communicate regularly with Engagement Managers (Directors), project team members, and ...

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Data Implementation Manager information

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

To thrive as a Data Implementation Manager, you need strong project management abilities, expertise in data integration processes, and a background in information systems or a related field. Familiarity with ETL tools, data warehousing platforms, and certifications like PMP or Six Sigma are commonly required. Exceptional communication, problem-solving, and stakeholder management skills help you coordinate teams and manage client expectations. These competencies ensure data solutions are delivered accurately, efficiently, and aligned with business needs.

What are the most common challenges faced by Data Implementation Managers during client onboarding, and how can they be effectively addressed?

Data Implementation Managers often encounter challenges such as integrating disparate data sources, managing client expectations regarding project timelines, and ensuring data accuracy during migration. To address these, it is crucial to establish clear communication channels with clients, set realistic milestones, and conduct thorough data validation checks. Collaborating closely with technical teams and stakeholders helps proactively identify issues and ensure a smooth onboarding process.

What is a Data Implementation Manager?

A Data Implementation Manager is responsible for overseeing the deployment and integration of data solutions within an organization. They work closely with clients, technical teams, and stakeholders to ensure data systems are installed, configured, and operating according to business requirements. Their role includes managing project timelines, troubleshooting issues, and providing guidance on best practices for data migration and utilization. Data Implementation Managers play a key role in aligning technology solutions with organizational goals, ensuring data accuracy, and optimizing workflows.

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

AspectData Implementation ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; certifications like PMP or data management certificationsBachelor's in Statistics, Data Science, or related field; certifications like Microsoft Excel, Tableau, or SQL
Work EnvironmentProject-based, cross-departmental teams, focus on data system deploymentData-focused, analytical tasks, reporting, and visualization
Employer & Industry UsageUsed in tech, finance, healthcare for data system rolloutsCommon across industries for data analysis and reporting

The Data Implementation Manager primarily oversees the deployment and integration of data systems within organizations, focusing on project management and technical coordination. In contrast, a Data Analyst concentrates on analyzing data to generate insights, reports, and visualizations. While both roles require data-related skills, the Implementation Manager emphasizes system deployment, whereas the Analyst emphasizes data interpretation and reporting.

What are popular job titles related to Data Implementation Manager jobs in Iowa? For Data Implementation Manager jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Data Implementation Manager jobs in Iowa look for? The top searched job categories for Data Implementation Manager jobs in Iowa are:
What cities in Iowa are hiring for Data Implementation Manager jobs? Cities in Iowa with the most Data Implementation Manager job openings:
Data Implementation Manager jobs near you
Systems Analyst 3 - Data Engineer

Systems Analyst 3 - Data Engineer

Sammons Financial Group Companies

West Des Moines, IA • On-site

Full-time

Posted 18 days ago

Sammons Financial Group rating

8.8

Company rating: 8.8 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

51st of 263 rated insurance

Job description

Job Summary:
Sammons Financial Group is seeking a Systems Analyst – Data Engineer to design, develop, and implement scalable data and integration solutions that power Life analytics and operations. The role requires strong technical expertise in data platforms and focuses on enabling high-quality data flow and seamless integration while supporting emerging analytics and AI use cases.
Responsibilities:
• Design, develop, and implement scalable data ingestion, integration, and processing pipelines across cloud platforms (Azure, Snowflake/ and similar EDW/Lakehouse platforms , AWS).
• Develop and manage data orchestration workflows using tools such as Azure Data Factory (ADF), Azure Data Lake (ADLS), dbt, and comparable technologies.
• Ingest and process large volumes of structured, semi-structured, and unstructured data, including compressed formats (e.g., .tar), and automate extraction, transformation, and loading processes.
• Design and implement modern data lakehouse architectures, including Iceberg (or similar table formats), to support scalable and high-performance analytics.
• Develop and maintain data models that accurately represent complex relationships within life insurance and policy administration domains.
• Integrate enterprise data platforms with internal and external systems (e.g., APIs, Kafka, MuleSoft) to enable real-time and batch data exchange.
• Collaborate with product owners, architects, analysts, and developers to translate business, functional, and non-functional requirements into scalable technical solutions.
• Establish and enforce data engineering standards, best practices, and governance controls across ingestion, transformation, and storage layers.
• Implement data quality validation, reconciliation processes, and error handling to ensure accuracy, consistency, and reliability of data pipelines.
• Monitor pipeline performance, reliability, scalability, and cost efficiency; recommend and implement improvements.
• Research and recommend emerging tools, patterns, and technologies to improve data ingestion, processing, integration, and enablement of AI-driven use cases.
• Build and support backend data systems, APIs, distributed services, and orchestration layers for secure enterprise use.
• Support enterprise data integration capabilities across Azure, Snowflake, and similar platforms to unify, govern, and operationalize data for analytics and AI applications.
• Support code versioning, CI/CD pipelines, and controlled deployment of data engineering assets.
• Troubleshoot pipeline, data, and platform issues across development, testing, and production environments.
• Provide operational support, including on-call or on-demand support for critical data processes.
Qualifications:
Required:
• Strong technical expertise in Snowflake/ similar EDW/Lakehouse platforms
• SQL
• Python
• Cloud-based data platforms (Azure, AWS)
• Design, develop, and implement scalable data ingestion, integration, and processing pipelines across cloud platforms
• Develop and manage data orchestration workflows using tools such as Azure Data Factory (ADF), Azure Data Lake (ADLS), dbt, and comparable technologies
• Ingest and process large volumes of structured, semi-structured, and unstructured data, including compressed formats (e.g., .tar), and automate extraction, transformation, and loading processes
• Design and implement modern data lakehouse architectures, including Iceberg (or similar table formats), to support scalable and high-performance analytics
• Develop and maintain data models that accurately represent complex relationships within life insurance and policy administration domains
• Integrate enterprise data platforms with internal and external systems (e.g., APIs, Kafka, MuleSoft) to enable real-time and batch data exchange
• Collaborate with product owners, architects, analysts, and developers to translate business, functional, and non-functional requirements into scalable technical solutions
• Establish and enforce data engineering standards, best practices, and governance controls across ingestion, transformation, and storage layers
• Implement data quality validation, reconciliation processes, and error handling to ensure accuracy, consistency, and reliability of data pipelines
• Monitor pipeline performance, reliability, scalability, and cost efficiency; recommend and implement improvements
• Research and recommend emerging tools, patterns, and technologies to improve data ingestion, processing, integration, and enablement of AI-driven use cases
• Build and support backend data systems, APIs, distributed services, and orchestration layers for secure enterprise use
• Support enterprise data integration capabilities across Azure, Snowflake, and similar platforms to unify, govern, and operationalize data for analytics and AI applications
• Support code versioning, CI/CD pipelines, and controlled deployment of data engineering assets
• Troubleshoot pipeline, data, and platform issues across development, testing, and production environments
• Provide operational support, including on-call or on-demand support for critical data processes
• Criminal background check required
Preferred:
• College Degree in the field of computer science, information science, management information systems
• Minimum 8 years' IT development experience or equivalent
• Effective verbal and written communications skills and the ability to communicate with business partners and other IT staff
• Problem solving skills sufficient to perform research and recommend a proposed solution to problems
• Able to work on multiple tasks and meet established deadlines
• Able to effectively direct and coordinate the work of other team members on a project without having HR management responsibility for them
• Knowledge of computer programming languages as required for the system
• Certifications in Snowflake
• Experience with Python or Java for data processing and automation
• Familiarity with emerging technologies supporting AI/ML and advanced analytics
• Experience working in Agile delivery models and cross-functional enterprise environments
Company:
Sammons® Financial Group Companies (collectively, Sammons Financial Group) provide today’s most sought after life insurance, annuity, and retirement products. Founded in 1938, the company is headquartered in West Des Moines, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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