Data Management & ETL: * Lead ETL efforts that integrate government and commercial datasets ... Familiarity with use of AI for research and software coding. * TS clearance or ability to be ...
Data Management & ETL: * Lead ETL efforts that integrate government and commercial datasets ... Familiarity with use of AI for research and software coding. * TS clearance or ability to be ...
Data Management & ETL: - Lead ETL efforts that integrate government and commercial datasets ... of AI for research and software coding. - TS clearance or ability to be granted a TS clearance.
Data Management & ETL: - Lead ETL efforts that integrate government and commercial datasets ... of AI for research and software coding. - TS clearance or ability to be granted a TS clearance.
EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and ...
EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and ...
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Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging ... risk management program. In this role, you will operate on the offensive side of supply chain ...
Senior Data Analyst - Red Team (Supply Chain Risk & Threat Analysis)
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Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging ... risk management program. In this role, you will operate on the offensive side of supply chain ...
The role manages a layered organization and leads 2-3 direct reports, with broad influence across ... Ensure alignment between delivery practices and enterprise risk, compliance, and security ...
The role manages a layered organization and leads 2-3 direct reports, with broad influence across ... Ensure alignment between delivery practices and enterprise risk, compliance, and security ...
This leader ensures alignment across teams, reduces duplication and delivery risk, and embeds ... The role manages a layered organization and leads 2-3 direct reports, with broad influence across ...
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RFM AI Governance Manager
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$73.50K - $244K/yr
Responsibilities - Develop and implement AI governance frameworks - Conduct risk assessments to ... lifecycle management preferred - Coding experience in Python or similar languages preferred ...
RFM AI Governance Manager
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Managing Risk - Assessing and effectively managing all of the risks associated with their business ... Preferred Skills AI Security, Application Development, Application Security, Business Management ...
Managing Risk - Assessing and effectively managing all of the risks associated with their business ... Preferred Skills AI Security, Application Development, Application Security, Business Management ...
This role will assess and drive integration, data, and AI platform strategies to gain operational ... Managing Risk - Assessing and effectively managing all of the risks associated with their business ...
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AI adoption is not a one-size-fits-all effort-it requires adaptability, influence, and the ability ... Understanding of licensing/IP for generated media; risk mitigation. Experience managing asset ...
AI Program Manager-Sales & Marketing
$129.90K - $173.20K/yr
AI adoption is not a one-size-fits-all effort-it requires adaptability, influence, and the ability ... Understanding of licensing/IP for generated media; risk mitigation. Experience managing asset ...
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Lead Forward Deployed Engineer
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Lead and manage a team of engineers developing for analytics and AI-driven solutions supporting Army sustainment, acquisition, and supply chain risk management missions. * Direct the development and ...
Lead Forward Deployed Engineer
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... AI-driven capabilities. Recruiting for this role ends on May 31, 2026 Work you'll do As a Manager within the DT-US VMO, you will operate at the intersection of technology, finance, risk, and ...
... AI-driven capabilities. Recruiting for this role ends on May 31, 2026 Work you'll do As a Manager within the DT-US VMO, you will operate at the intersection of technology, finance, risk, and ...
... AI-driven capabilities. Recruiting for this role ends on May 31, 2026 Work you'll do As a Manager within the DT-US VMO, you will operate at the intersection of technology, finance, risk, and ...
... AI-driven capabilities. Recruiting for this role ends on May 31, 2026 Work you'll do As a Manager within the DT-US VMO, you will operate at the intersection of technology, finance, risk, and ...
... AI-driven capabilities. Recruiting for this role ends on September 30, 2026 Work you'll do As a Manager within the DT-US VMO, you will operate at the intersection of technology, finance, risk, and ...
... AI-driven capabilities. Recruiting for this role ends on September 30, 2026 Work you'll do As a Manager within the DT-US VMO, you will operate at the intersection of technology, finance, risk, and ...
Ai Risk Manager information
What is the difference between Ai Risk Manager vs Data Scientist?
| Aspect | Ai Risk Manager | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are common | Requires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common |
| Work Environment | Works in financial, insurance, or tech industries focusing on AI risk assessment and mitigation | Works across industries analyzing data, building models, and deriving insights |
| Employer & Industry Usage | Used by organizations managing AI deployment risks, especially in regulated sectors | Used by companies developing AI solutions, data-driven products, and analytics teams |
The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

Full-time
Posted 13 days ago
Job description
Overview
We are seeking a highly skilled Senior Supply Chain Risk Assessment Engineer / Analyst to support the development, enhancement, and operation of a government-focused supply chain risk assessment capability. This role blends data analytics, system architecting, risk analysis, and stakeholder collaboration in a secure, mission-focused environment.
Key Responsibilities
Supply Chain Risk Analytics & Domain Expertise:
- Analyze defense industrial base and supply chain risk across foreign influence, cyber vulnerability, and financial security.
- Apply structured risk management principles and communicate findings and data limitations.
Data Management & ETL:
- Lead ETL efforts that integrate government and commercial datasets.
- Ensure data quality, traceability, and proper handling of sensitive information.
System Architecture & Platform Migration:
- Support design and evolution of government-developed analytics tools.
- Support migration to enterprise analytics platforms.
Visualization & Reporting:
- Develop dashboards, geo-maps, and supply chain visualizations.
- Produce standardized analytical reports and data exports.
Required Qualifications
- Bachelor's degree in engineering, data science, computer science, or related field.
- Proficiency in data analytics software (Excel, Access, Power BI).
- Significant experience in supply chain risk assessment and data analytics, including company and industry analysis.
- Experience working in government or defense environments.
- Active SECRET clearance or ability to be granted an Interim SECRET within 30 days.
Preferred Qualifications
- Advanced degree strongly preferred.
- Programming experience (Python, C++, R, etc)
- Familiarity with use of AI for research and software coding.
- TS clearance or ability to be granted a TS clearance.
Soft Skills
- Strong analytical and communication skills.
- Ability to work with ambiguous data and complex stakeholder environments.
- Self-starter who seeks innovative solutions to new and evolving problems.
Requirements
Required Qualifications
- Bachelor's degree in engineering, data science, computer science, or related field.
- Proficiency in data analytics software (Excel, Access, Power BI).
- Significant experience in supply chain risk assessment and data analytics, including company and industry analysis.
- Experience working in government or defense environments.
- Active SECRET clearance or ability to be granted an Interim SECRET within 30 days.
About QED Analytics
Sourced by ZipRecruiter
Industry
Internet and it
Company size
11 - 50 Employees
Headquarters location
Denver, CO, US
Year founded
2018