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Data Implementation Manager Jobs in Iowa (NOW HIRING)

Incident Management: Lead and drive incident response and management for platform-related ... Design and implement monitoring frameworks to govern service-oriented architecture (SOA ...

... implement emerging AI/ML capabilities to enhance product offerings. * Conduct A/B and multivariate testing to improvement marketing effectiveness. * Design and maintain data pipelines across CRM, ...

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... implementing leading practice workflows, addressing deficits in quality, and driving operational ...

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... implementing leading practice workflows, addressing deficits in quality, and driving operational ...

QAQC Missions Critial Manager

Cedar Rapids, IA · On-site

$81.70K - $108.70K/yr

... for implementing, managing, and maintaining the Quality Assurance and Quality Control program for large-scale electrical data center construction projects. This role ensures all work complies with ...

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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 cities in Iowa are hiring for Data Implementation Manager jobs? Cities in Iowa with the most Data Implementation Manager job openings:
Data Operations Lead

Other

Retirement

Posted 21 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 184 rated software companies


Job description

At Workiva, we are building the data foundation for the next generation of AI-enabled platform. Our Data Platform Ops team is at the center of this mission, merging software development with infrastructure operations to design and manage large-scale.

We are looking for a Data Operations Lead to ensure the reliability, scalability, and operational excellence of our analytics and data systems. This role is operationally critical and technically demanding. As a senior technical leader, you will be responsible for keeping our data platforms available and performant, providing technical direction and guidance to an offshore contract team, and enabling our data engineering teams to move fast with confidence. You will be a key driver of technical strategy and execution without direct people management responsibilities. If you are energized by solving complex data problems at scale and want your work to have a direct impact every day, join us on this transformative journey.

What You'll Do

Operational Excellence and Reliability

  • Technical Leadership & Direction: Provide expert technical guidance and direction to an offshore contract team to ensure high-quality execution of platform operations, automation, and reliability projects. Act as the primary technical point of contact and decision-maker for the team

  • Reliability & Operations: Own the operational health and performance of the data platform. Define and implement reliability goals (SLIs/SLOs) and establish sustainable mechanisms for scaling systems through automation

  • Incident Management: Lead and drive incident response and management for platform-related production issues. Conduct blameless post-mortems and drive systemic enhancements in reliability and efficiency based on findings

  • Observability & Monitoring: Design and implement monitoring frameworks to govern service-oriented architecture (SOA) efficiently and intelligently. Establish alerting for system health, query behavior, and performance bottlenecks

Procession and Automation (The "Ops" in DataOps)

  • Automation & Platform Engineering: Reduce operational toil by building self-service workflows, "guardrails," and infrastructure-as-code (IaC) solutions. Automate administration tasks, environment provisioning, and usage monitoring, leveraging and mentoring the offshore team to execute

  • Orchestration: Managing the "traffic control" of data tasks (using tools like Airflow, Dagster, or Prefect) to ensure complex dependencies are handled efficiently

Data Governance and Security

  • Access Control: Ensuring the right people have access to the right data (RBAC - Role-Based Access Control) without slowing down the business

  • Data Quality Frameworks: Building automated "circuit breakers" that stop data from reaching the warehouse if it doesn't meet quality standards (e.g., missing values or incorrect formatting)

  • Compliance: Partnering with Legal/Security teams to ensure data handling meets GDPR, CCPA, or industry-specific regulations (HIPAA, SOX)

Strategic Stakeholder Management

  • Capacity Planning:Managing the cloud budget (Snowflake/BigQuery/Databricks costs) and predicting how much compute power the company will need as data volume grows

  • Business Alignment:Translating technical constraints into business impact. If a project is delayed, they explain why in terms of risk and data integrity rather than just "the code broke"

  • Operational Support:Consult with and provide expert operational support to data engineering, product teams, and stakeholders who utilize the Data Platform. This is critical to ensuring the performance and reliability of downstream data products

What You'll Need

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

  • Experience: 6+ years of experience in SRE, DevOps, or Systems Engineering roles, with a deep focus on data infrastructure, including experience leading technical projects or teams

  • Technical Direction: Proven ability to provide clear technical leadership, direction, and oversight to cross-functional or geographically distributed engineering teams (e.g., contract or offshore teams)

  • Data Expertise: Deep understanding of data modeling, warehousing, and building scalable ETL/ELT pipelines

  • Data Warehouse: Hands-on experience with Snowflake and DBT a must. Expert in Snowflake SQL.

  • Monitoring and Automation: Expert-level hands-on experience with Terraform, Splunk, and Airflow or similar technologies required

  • Programming: High proficiency in Python and programming languages such as Java, Go, or Scala

  • Ingestion Frameworks: Management of ingestion frameworks like Fivetran, CData, Census and Openflow

  • Data Lakes: Experience with S3, Athena and Iceberg required

Preferred Qualifications

  • Infrastructure: Extensive experience with Kubernetes, Docker, and cloud-managed services (AWS preferred)

  • Systems Knowledge: Familiarity with Unix/Linux system internals, networking, and distributed systems

  • Scale: Experience in designing, analyzing, and operating large-scale distributed systems and massive data warehouses

  • SRE Maturity: Strong background in cost optimization, usage governance, and maturing SRE practices within a data ecosystem

Working Conditions & Travel Requirements

  • Minimal (<10%) travel for team jams or engineering wide conferences

  • Reliable internet access for remote working opportunities

How You'll Be Rewarded

Salary range in the US: $151,000.00 - $242,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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