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Model Risk Governance Manager Jobs in Omaha, NE (NOW HIRING)

Data Governance Engineer

Omaha, NE · On-site

$109K - $131K/yr

Develop AI agents and workflow automation solutions using AI coding tools, large language models ... Strong understanding of data security, compliance, and risk management principles. Employee ...

Data Governance Engineer

Omaha, NE · On-site

$104K - $124K/yr

Develop AI agents and workflow automation solutions using AI coding tools, large language models ... Strong understanding of data security, compliance, and risk management principles. Employee ...

Risk Manager

Omaha, NE

$87K - $146K/yr

Contribute to and lead governance routines to ensure ongoing risk oversight and reporting and escalation where required. Experience you'll need to have: * 5+ years of experience in risk management ...

Build out Data Quality Management from the ground up: define critical data elements, set quality ... Advance a data marketplace model where trusted data reaches the right users without friction.

Bachelor's degree or equivalent experience * 10+ years of experience in Enterprise Governance, Risk ... manage digital payments, power omni-commerce payments, present and process bill payments, and ...

Bachelor's degree or equivalent experience * 10+ years of experience in Enterprise Governance, Risk ... manage digital payments, power omni-commerce payments, present and process bill payments, and ...

Senior AI Solutions Engineer

Omaha, NE · On-site

$128K - $216K/yr

Prior experience in financial services, payments, or another regulated industry, and familiarity with how AI governance, model risk management, and audit actually work in those environments * Ability ...

Associate Risk Manager (ARM) or Certified Property/Casualty Underwriter (CPU) certification ... Serves as a role model in carrying out activities and behaviors that reflect the values and ...

Privacy & AI Governance Program Manager

Omaha, NE · On-site

$96K - $123K/yr

As a Privacy & AI Governance Program Manager, you will be expected to spearhead privacy initiatives ... Identify potential areas of privacy vulnerability and risk, develop correction action plans for ...

Privacy & AI Governance Program Manager

Omaha, NE · Hybrid

$96K - $123K/yr

As a Privacy & AI Governance Program Manager, you will be expected to spearhead privacy initiatives ... Identify potential areas of privacy vulnerability and risk, develop correction action plans for ...

Manage responses to Potential Privacy Incident, in consultation with the Risk Officer, Orion ... Support Orion's AI governance program from a privacy perspective, helping implement privacy ...

Execute risk management strategies to protect the business from market volatility. Ensure trading decisions align with corporate risk appetite and governance standards. Monitor market trends ...

Manage responses to Potential Privacy Incident, in consultation with the Risk Officer, Orion ... Support Orion's AI governance program from a privacy perspective, helping implement privacy ...

Execute risk management strategies to protect the business from market volatility. Ensure trading decisions align with corporate risk appetite and governance standards. * Monitor market trends ...

Showing results 21-40

Model Risk Governance Manager information

See Omaha, NE salary details

$41.6K

$99.2K

$160.2K

How much do model risk governance manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for model risk governance manager in Omaha, NE is $99,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $126,300.00 per year, depending on experience, location, and employer.

What is the difference between Model Risk Governance Manager vs Model Risk Analyst?

AspectModel Risk Governance ManagerModel Risk Analyst
Primary FocusOversees model risk policies, governance frameworks, and compliancePerforms detailed model validation, testing, and analysis
ResponsibilitiesDevelops risk management strategies, monitors model risk, ensures regulatory adherenceConducts model performance assessments, documentation, and validation activities
Required CredentialsAdvanced degrees in finance, statistics, or related fields; certifications like FRM or CFA often preferredSimilar credentials; often holds certifications like FRM or CFA
Work EnvironmentStrategic, governance-focused teams within financial institutionsAnalytical teams performing technical validation tasks

The Model Risk Governance Manager focuses on overseeing model risk frameworks and ensuring compliance, while the Model Risk Analyst conducts detailed model validation and testing. Both roles require similar credentials and work within the financial industry, but their responsibilities differ in scope and focus.

What are the most commonly searched types of Model Risk Governance jobs in Omaha, NE?

The most popular types of Model Risk Governance jobs in Omaha, NE are:

What are popular job titles related to Model Risk Governance Manager jobs in Omaha, NE?

For Model Risk Governance Manager jobs in Omaha, NE, the most frequently searched job titles are:

What job categories do people searching Model Risk Governance Manager jobs in Omaha, NE look for?

The top searched job categories for Model Risk Governance Manager jobs in Omaha, NE are:

Infographic showing various Model Risk Governance Manager job openings in Omaha, NE as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $99,206 per year, or $47.7 per hour.

Data Governance Engineer

Tenaska Inc.

Omaha, NE • On-site

$109K - $131K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Tenaska is one of the largest privately held companies in the United States, an organization that's adept in natural gas and power marketing, power management, development and acquisition of generation assets, operation of power plants and more.
Onsite: Omaha, NE
Position Summary:
Tenaska is seeking a Data Governance Engineer to help transform our enterprise data governance model from a traditional, manual approach into a modern, automated operating model powered by engineering practices and artificial intelligence.
This role will sit at the intersection of software engineering, data engineering, AI automation, and enterprise data management. The ideal candidate will build intelligent solutions that automate governance processes, improve data quality, strengthen metadata management, and enable teams across the organization to confidently leverage trusted data.
The Data Governance Engineer will play a key role in designing and implementing automated governance frameworks, developing AI-driven solutions, and partnering with technical and business stakeholders to create a scalable data ecosystem.
Essential Job Functions:
Automate Data Governance Processes
  • Develop AI agents and workflow automation solutions using AI coding tools, large language models (LLMs), APIs, Model Context Protocol (MCP), and enterprise data sources.
  • Design and implement automated governance controls directly within data pipelines to ensure trusted, compliant, and high-quality data reaches enterprise users and AI systems.
  • Develop Policy-as-a-code functions using modern engineering practices, including version control, testing, and deployment processes.

Advance Metadata Management & Data Discovery
  • Build and maintain automated metadata management frameworks to improve data cataloging, lineage visibility and data product management.
  • Implement and enhance enterprise data catalog capabilities through active metadata management and automated discovery frameworks.

Improve Data Quality & Reliability
  • Build and maintain automated data quality frameworks that proactively identify issues and anomalies.
  • Implement monitoring, telemetry, alerting, and data drift detection capabilities.
  • Evaluate and optimize data quality tools and processes to improve enterprise data trust.

Support Data Architecture & Platform Optimization
  • Partner with data engineering teams to optimize governance capabilities across modern cloud data platforms.
  • Support administration and continuous improvement of enterprise data catalog, data quality, and master data management (MDM) platforms.
  • Help define requirements and evaluate solutions that support enterprise data strategy.

Drive Data Governance Adoption
  • Act as a bridge between technical teams, business stakeholders, data owners, data stewards, and risk/compliance partners.
  • Translate complex governance concepts into clear, practical processes that enable adoption across the organization.
  • Promote a culture of data ownership, accountability, and trust through self-service governance practices.

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
  • 4-6 years of experience in data engineering, software engineering, or a highly technical data management role.
  • Experience designing, developing, and deploying production-grade software solutions.
  • Strong programming experience with:
  • Python
    • SQL
    • APIs
    • Version control tools (Git/GitHub)
    • Software Development Life Cycle (SDLC) practices
  • Experience working with modern data ecosystems, including cloud data platforms such as:
    • Microsoft Fabric
    • Snowflake
    • Databricks
  • Cloud data lakehouse and enterprise data warehouse architectures
  • Experience developing automated data quality frameworks, controls, monitoring, and validation processes.
  • Experience with metadata management, data cataloging, lineage, or data discovery solutions.
  • Understanding of master data management (MDM) concepts and enterprise data governance practices.
  • Experience collaborating with both technical teams and business stakeholders to drive data adoption and accountability.

Preferred Qualifications:
  • Experience building AI agents or intelligent automation solutions using:
    • Large Language Models (LLMs)
    • Enterprise APIs
    • Model Context Protocol (MCP)
    • AI coding tools and developer platforms
  • Experience with data catalog platforms such as Atlan or Data.world.
  • Experience with MDM platforms.
  • Experience implementing governance practices within complex enterprise environments.
  • Strong understanding of data security, compliance, and risk management principles.

Employee Benefits:
At Tenaska we care about the wellbeing of our employees and their families. That's why we offer our employees a comprehensive benefit package. Benefits included below:
  • Health, dental, vison, disability, and life insurance
  • Excellent 401(k) plan
  • Incentive-based, competitive salary packages
  • Health/dependent care flex accounts
  • Tuition assistance
  • Long-term disability coverage
  • Adoption benefits
  • Employee assistance program
  • Paid vacations and holidays
  • Generous sick leave
  • Charitable giving program
  • Paid maternity/paternity leave
  • Wellness programs

TENASKA IS AN EQUAL OPPORTUNITY EMPLOYER
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.