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Data Implementation Manager Jobs in Iowa (NOW HIRING)

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... data analysis, reporting, email responses, inventory/operations notes, and knowledge management ... implementations. • Excellent communication and training skills--able to explain AI concepts ...

Project Manager/Director, Development Teams, Project Teams, and External Clients are key in order ... Understand RDBMS and perform data extractions, conversions and manipulations Project Delivery:

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... You will be responsible for developing and implementing data pipelines, data integration, and data ...

The Opportunity As part of the Data and Analytics team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager ...

Data Governance- Manager

Des Moines, IA · On-site

$99K - $232K/yr

The Opportunity As part of the Data Governance team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager ...

You will be responsible for developing and implementing data pipelines, data integration, and data ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

You will manage a team of engineers, set technical and operational standards, and take full ... Implement operational visibility, alerting, and remediation processes for file-based data ...

You will manage a team of engineers, set technical and operational standards, and take full ... Implement operational visibility, alerting, and remediation processes for file-based data ...

The Opportunity As part of the Data and Analytics team, you will lead the development and implementation of innovative data strategies that drive business growth. As a Senior Manager, you will serve ...

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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:
AI Adoption/ Implementation Manager

AI Adoption/ Implementation Manager

Franzenburg

Des Moines, IA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

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Job description

•  AI Integration Specialist

•  AI Adoption / Implementation Manager

•  Generative AI Solutions Architect 

Job Description

Position Summary

We are seeking a hands-on AI Integration Specialist to lead the integration of Claude (and complementary AI tools) into our core business operations. The ideal candidate will identify high-impact use cases, build automated workflows, connect AI to existing tools (CRM, email, accounting, project management, etc.), train the team, and drive measurable efficiency gains. This is a practical, results-oriented role focused on embedding AI into daily processes to save time, improve decision-making, and scale operations—particularly around customer relationship management and business growth.

Key Responsibilities

•  Assess current business workflows and identify opportunities to integrate Claude AI (via API, Claude Projects, Claude Code/Cowork, or desktop tools) for automation in areas like customer outreach, content generation, data analysis, reporting, email responses, inventory/operations notes, and knowledge management.

•  Design, build, and deploy end-to-end AI-powered workflows, including prompt engineering, custom instructions, skills/agents, integrations with tools like Zapier, Make.com, Salesforce, Google Workspace, or custom APIs.

•  Ensure secure, compliant, and reliable AI usage (data privacy, hallucination mitigation, output validation).

•  Collaborate with department leads (sales, operations, marketing, finance) to pilot and roll out AI solutions, then measure ROI (time saved, error reduction, revenue impact).

•  Provide training, documentation, and ongoing support to non-technical team members so they can effectively use AI tools.

•  Monitor AI performance, troubleshoot issues, and stay current with Anthropic/Claude updates and new features.

•  Recommend additional AI tools or enhancements as needed while keeping the focus on Claude where it excels (reasoning, coding, long-context tasks).

•  Manage costs (API usage, subscriptions) and scale integrations without disrupting operations.

Required Qualifications

•  2–5+ years of practical experience integrating generative AI tools (strong preference for Claude/Anthropic ecosystem, including API, Projects, Code, or Cowork).

•  Proficiency in prompt engineering, building AI agents/workflows, and integrating AI with business software (no-code/low-code tools like Zapier, n8n, or custom scripting in Python/Node.js a plus).

•  Understanding of business operations and how AI can automate repetitive or knowledge-based tasks.

•  Strong problem-solving skills and ability to translate business needs into technical AI implementations.

•  Excellent communication and training skills—able to explain AI concepts simply to non-technical staff.

•  Experience with data privacy, security best practices, and evaluating AI outputs for accuracy.

Preferred Qualifications

•  Experience in small-to-medium businesses or service-based industries (e.g., customer-focused operations).

•  Familiarity with CRM systems, email marketing, or customer data workflows.

•  Basic coding/scripting ability for custom integrations.

•  Track record of delivering measurable efficiency gains (e.g., hours saved per week, processes automated).

Education

Bachelor’s degree in Computer Science, Information Systems, Business, or related field (or equivalent practical experience).

What Success Looks Like

Within the first 3–6 months: 5–10 high-value workflows live, team adoption increasing, and documented time/cost savings.