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Director Model Risk Governance Jobs in Colorado (NOW HIRING)

Eclaro

Director of AI & ML Engineering

Broomfield, CO

Establish best practices for data governance, privacy, security, and responsible AI usage, ensuring ... Implement guardrails and review processes for model risk, bias, explainability (where needed), and ...

Gogo, Inc.

Director, AI & ML Engineering

Broomfield, CO · On-site

Establish best practices for data governance, privacy, security, and responsible AI usage, ensuring ... Implement guardrails and review processes for model risk, bias, explainability (where needed), and ...

Gogo

Director, AI & ML Engineering

Broomfield, CO · On-site

Establish best practices for data governance, privacy, security, and responsible AI usage, ensuring ... Implement guardrails and review processes for model risk, bias, explainability (where needed), and ...

Colorado PERA

Data Governance Program Manager

Denver, CO · On-site

$105K - $130K/yr

In partnership with the Director of Data and Analytics, develop, implement, and continuously ... Promote a risk-aware data culture while embedding governance controls into day-to-day operations ...

First Western

Enterprise Risk Analyst II

Denver, CO

$63K - $95K/yr

Working knowledge of enterprise risk frameworks and governance models. * Experience performing risk assessments and evaluating control effectiveness. * Familiarity with third-party risk and issue ...

First Western

Enterprise Risk Analyst II

Denver, CO

$63K - $95K/yr

Working knowledge of enterprise risk frameworks and governance models. * Experience performing risk assessments and evaluating control effectiveness. * Familiarity with third-party risk and issue ...

First Western

Enterprise Risk Analyst II

Denver, CO · On-site

$63K - $95K/yr

Working knowledge of enterprise risk frameworks and governance models. * Experience performing risk assessments and evaluating control effectiveness. * Familiarity with third-party risk and issue ...

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All JobsDirector Model Risk Governance JobsDirector Model Risk Governance Jobs in Colorado

Director Model Risk Governance information

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

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

What are the key skills and qualifications needed to thrive as a Director of Model Risk Governance, and why are they important?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are Director Model Risk Governance roles?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are some common challenges faced by a Director of Model Risk Governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.
What are the most commonly searched types of Model Risk Governance jobs in Colorado? The most popular types of Model Risk Governance jobs in Colorado are:
What are popular job titles related to Director Model Risk Governance jobs in Colorado? For Director Model Risk Governance jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Director Model Risk Governance jobs in Colorado look for? The top searched job categories for Director Model Risk Governance jobs in Colorado are:
What cities in Colorado are hiring for Director Model Risk Governance jobs? Cities in Colorado with the most Director Model Risk Governance job openings:
Director Model Risk Governance jobs near you
Infographic showing various Director Model Risk Governance job openings in Colorado as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Director of AI & ML Engineering

Director of AI & ML Engineering

Eclaro

Broomfield, CO

Other

Medical, Dental, Vision, Retirement

Posted 23 days ago

Job description

Director of AI & ML Engineering Job Number: 26-00504 Use your skills where innovative technology solutions begin. ECLARO is looking for a Director of AI & ML Engineering for our client in Broomfield, CO. ECLARO’s client is a leading technology solutions provider, collaborating with customers to manage their needs and achieve success in their business goals.

If you’re up to the challenge, then take a chance at this rewarding opportunity! Position Overview: Seeking a Director of AI & ML Engineering to lead the engineering, delivery, and operationalization of AI / ML capabilities across our software products and internal platforms. This role will build and mentor a high-performing AI / ML engineering team and partner closely with Product, Operations, Support, Sales, IT, Security, and Data to identify and deliver practical AI / ML solutions that improve business efficiency, enhance customer experience, and increase the value of our core products.

The ideal consultant is a hands-on technical leader who understands how to take AI / ML initiatives from opportunity discovery through production deployment and long-term lifecycle ownership (monitoring, retraining, governance, and cost / performance optimization). Responsibilities: Execute the company's AI strategy, aligning with Customer's business objectives and the evolving needs of the satellite connectivity industry. Lead the design, build, and deployment of AI / ML solutions that improve customer experience and operational outcomes, including areas such as network / service insights, predictive maintenance, anomaly detection, support automation, and sales enablement.

Own the end-to-end delivery lifecycle for AI / ML initiatives: problem framing, data readiness, experimentation, production-ization, monitoring, and continuous improvement. Partner with Product to translate business goals into actionable AI / ML roadmaps and measurable outcomes tied to customer and operational value. Establish and mature ML Ops and LLM Ops practices: model versioning, CI / CD, evaluation, monitoring, drift detection, retraining workflows, and production support.

Define engineering standards for AI / ML systems including quality, reliability, security, latency, cost-to-serve, and scalability. Collaborate with platform and data teams to ensure strong foundations for data pipelines, feature management, and model-ready datasets. Work with cross-functional stakeholders (Product, Operations, Support, Sales, IT, Security, Legal / Compliance) to identify high-value AI / ML opportunities and integrate solutions into business workflows and customer-facing experiences.

Ensure AI / ML capabilities are delivered as durable product features and operational tools. Communicate plans, tradeoffs, progress, and outcomes clearly to both technical and non-technical audiences. Establish best practices for data governance, privacy, security, and responsible AI usage, ensuring compliance with internal policies and applicable regulations.

Implement guardrails and review processes for model risk, bias, explainability (where needed), and appropriate use of customer and operational data. Build, lead, and develop a team of AI / ML engineers and applied scientists; set expectations, coach performance, and foster a culture of execution and continuous learning. Manage vendor relationships and partnerships related to AI / ML platforms, tooling, and services.

Support budgeting and capacity planning for AI / ML programs and platform investments. Qualifications: Bachelor's Degree in Computer Science, Engineering, Data Science, or related field (Master's, preferred). 10 years of engineering experience with 6 years delivering ML / AI solutions.

3 years in a technical leadership role. Demonstrated success taking AI / ML systems into production and owning operational performance (monitoring, reliability, retraining, cost). Strong experience with modern ML tooling and frameworks (e.g., PyTorch, TensorFlow) and cloud-based AI services (Azure, AWS, or GCP).

Proven ability to lead cross-functional execution and communicate effectively with engineering, product, and business stakeholders. Strong understanding of data privacy, security, and governance practices in production systems. Experience delivering AI / ML capabilities in connectivity, telecommunications, aviation, or other high-reliability industries.

Familiarity with RAG, LLM integration, and evaluation practices for AI assistants and automation use cases. Experience building or scaling MLOps platforms (feature stores, model registries, CI / CD for models, observability). Preferred Skills: Strong working knowledge of DevOps, distributed systems, and agile product delivery.

Track record of measurable business impact from AI / ML initiatives (efficiency gains, cost reduction, improved customer outcomes). If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Tim Cusick Tim.cusick@eclaro.com 646-755-9317 Tim Cusick | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

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