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Added 5 mins ago
Business Systems Analyst
ASHA
Rockville, MD
Experience with Jira, Confluence, Azure DevOps, or comparable work management tools.
Added 8 mins ago
Senior Technical Product Manager, Data Platform
Tempus AI, Inc.
United States
Cloud integration patterns (AWS, GCP, Azure).
Added 16 mins ago
F
AIML Rapid Development Studio Internship
Fortrea
Durham, NC
- $21 USD / hour
Tool and Framework Exploration: Explore and evaluate new AI/ML tools, frameworks, and technologies. Provide recommendations on their potential integration into the studio's workflow.
Added 19 mins ago
Engineering Team Lead, Automation, Performance & Scale - k0rdent AI
Mirantis
Remote, United States
…platform engineering teams to deliver composable, production-ready developer platforms across any environment - on-premises, in the cloud, at the edge, or in sovereign data centers. As…
Added 19 mins ago
Senior Full Stack Developer
Cupertino Electric, Inc.
San Jose, CA
The Senior Full Stack Developer is responsible for leading the design, development, and evolution of enterprise-grade applications and cloud-native solutions that support critical business…
Added 20 mins ago
Salesforce (nCino) Developer
Columbia Bank
Hillsboro, OR
…across all tiers of the application as well as consideration for integration with existing Enterprise…
Added 31 mins ago
Sr. Data Engineer (Hybrid)
Selective Insurance Company of America
Charlotte, NC · Short Hills, NJ
Provide support in the design, development, code reviews, test deploy and documentation of data engineering and data integration Applications.
Added 33 mins ago
Principal Data Engineer - Data Strategy & Architecture
Fifth Third Bank, National Association
Cincinnati, OH
- Act as a principal technical expert and trusted advisor addressing the most complex problems related to system and application design, performance, integration, security, and delivery.
Added 33 mins ago
Physical AI Engineer - Lilly Medicine Foundry
Eli Lilly and Company
United States
…models trained in the cloud on AWS, data ingestion through OT/IT integration layers (e.g., Ignition, MQTT, AWS IoT Greengrass, Aveva PI, Azure IoT Hub), and data landed in the Foundry data…
Added 35 mins ago
Data Engineer
Fortis Construction, Inc.
United States
…also develops and maintains data APIs, ETL processes, and data integration…
Added 40 mins ago
Data Engineer III
INSPYR Solutions
Hollywood, FL
Experience with Databricks, Spark, Azure/AWS, and industries such as gaming, hospitality, loyalty, CRM, or customer analytics is highly preferred. This person should be capable of designing…
Added 43 mins ago
BH
Senior Cyber Security Engineer
Berkshire Hathaway Homestate Companies
Bay Area, CA
- $175,810 to $215,140 USD / year
AI Fluency & AI Integration: Maintain working fluency with AI assistant tools as part of standard security workflows, using AI to accelerate threat report analysis, detection rule…
Added 43 mins ago
BH
Senior Cyber Security Engineer
Berkshire Hathaway Homestate Companies
Sacramento, CA
- $155,390 to $189,140 USD / year
AI Fluency & AI Integration: Maintain working fluency with AI assistant tools as part of standard security workflows, using AI to accelerate threat report analysis, detection rule…
Added 47 mins ago
Senior Principal - Advanced Engineering
Infosys
United States
⦁ Direct technical integration, ensuring systems meet functional and performance criteria
Added 47 mins ago
Re-Platforming Software Engineer
Foxhole Technology
Arlington, VA
Write unit, integration, and API tests (xUnit/NUnit, JUnit, Jest); maintain test data; participate in code reviews.
Added 52 mins ago
Financial Services - Forward Deployed Engineer - Technology Consulting - Engineering- Senior Manager
EY
Chicago, IL · Hoboken, NJ · Atlanta, GA · Grandview Heights, OH · Boston, MA · Charlotte, NC · Philadelphia, PA · New York, NY
Understanding of retrieval-augmented systems, including source integration, chunking, embeddings, retrieval, grounding, and quality trade-offs (for example, LangChain, LlamaIndex, Azure AI…
Added 52 mins ago
Financial Services - Forward Deployed Engineer - Technology Consulting - Engineering- Manager
EY
Grandview Heights, OH · Chicago, IL · Charlotte, NC · Boston, MA · Atlanta, GA · Hoboken, NJ · Philadelphia, PA · New York, NY
Understanding of retrieval-augmented systems, including knowledge-source integration, chunking, embeddings, retrieval, grounding, and quality trade-offs (for example, LangChain, LlamaIndex,…
Added 52 mins ago
Financial Services - Forward Deployed Engineer - Technology Consulting - Engineering- Senior
EY
Atlanta, GA · Boston, MA · Chicago, IL · Grandview Heights, OH · Hoboken, NJ · Charlotte, NC · Philadelphia, PA · New York, NY
…technical designs and implementation plans. Contributes to the integration of AI/ML capabilities into broader enterprise solutions, with a focus on quality, scalability, and user…
Added 54 mins ago
Senior Data Architect
SOUTH COAST COMMUNITY SERVICES
MISSION VIEJO, CA
…maintains scalable data warehouses, data marts, lakehouse, integration pipelines, and reporting solutions that transform complex healthcare data into trusted, actionable insights for…
Added 1 hour ago
Manager, Product Software Engineering
Wolters Kluwer DXG U.S., Inc.
Coppell, TX
…capabilities including AI-assisted development, automation, developer productivity tooling, and Spec-Driven Development…
Added 1 hour ago
IG
Data Integration Analyst
Insight Global
Remote, United States
- From $60 USD / hour
o 3+ years of experience in data quality, data analysis, data integration, data management in the telecommunications industry
Added 1 hour ago
Associate Director, Software Engineering
Humana Inc.
Louisville, KY · Chicago, IL · Tampa, FL
…modernization of enterprise applications, data platforms, and API-based integration solutions. This leader is accountable for ensuring technology investments align with business objectives…
Added 1 hour ago
SI
Senior Technical Consultant Informatica, MDM
Salesforce, Inc.
Remote, United States
- $117,200 to $194,200 USD / year
Demonstrate strong working knowledge of the Informatica Intelligent Data Management Cloud (IDMC) platform, including Cloud Data Integration (CDI) and Cloud Application Integration (CAI).
Added 1 hour ago
Software Engineer
PeopleTec, Inc.
HUNTSVILLE, AL
Develop software that supports distributed data ownership, access controls, and integration with shared platform services.
Added 1 hour ago
Senior SharePoint & Power Apps Administrator
WPS Health Solutions New
Madison, WI
Have led integration between SharePoint, Power Apps, Power Automate, Teams, Azure services, and third‑party applications.

Jobgether

Sr. Model Governance Manager

Remote, United States

$160,000 to $200,000 USD / year

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Job details

Pay: $160,000 to $200,000 USD / year
Experience: At least 7 years of relevant experience in model governance, model validation, analytics, or related engineering roles.
Posting language: English
Posted: Nov 9, 2026

Original job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Sr. Model Governance Manager based in the United States.

This leadership role offers the opportunity to shape how AI and machine learning models are governed, evaluated, and monitored across a technology-driven organization. You will lead a team of model governance professionals, ensuring that model reviews are thorough, transparent, timely, and aligned with established controls. Working closely with engineering, data science, risk, compliance, and product teams, you will help ensure model risks are clearly understood and appropriately managed. You will oversee governance documentation, review workflows, team priorities, and performance standards while supporting sound, evidence-based decisions. The position combines technical oversight with people leadership and cross-functional collaboration. It is ideal for an experienced manager who values accountability, continuous improvement, and responsible AI/ML practices.

Accountabilities:

• Lead, develop, and manage a team of model governance professionals, including recruitment, onboarding, coaching, performance reviews, and career development.

• Establish clear team objectives, allocate responsibilities, balance workloads, and manage capacity to meet governance milestones and business priorities.

• Review team deliverables for accuracy, completeness, and consistency, providing technical guidance and resolving day-to-day delivery challenges.

• Build a collaborative and accountable team culture that promotes sound judgment, continuous learning, and timely escalation of concerns.

• Oversee model governance documentation, ensuring model ownership, purpose, measurements, and supporting records remain accurate and up to date.

• Ensure standardized model documentation covers Model Cards, intended use, assumptions, limitations, known risks, explainability, and evaluation metrics.

• Maintain clear visibility into governance review progress for the team, management, engineering, and other relevant stakeholders.

• Define and monitor performance metrics covering documentation quality, review timeliness, completeness, and issue resolution; communicate progress, risks, and resource needs to leadership.

• Own the model governance review prioritization queue, balancing stakeholder deadlines, team capacity, and review complexity while communicating the impact of priority changes.

• Identify and communicate weaknesses in model testing approaches, helping stakeholders understand the confidence and limitations of evaluation metrics.

• Ensure model data lineage and records for training, validation, and monitoring datasets are maintained.

• Partner with model owners and observability teams to define monitoring responsibilities, review triggers, and escalation paths, ensuring changes to models, data, or scope receive appropriate governance review.

• Track overdue reviews and escalate material risks, exceptions, and unresolved issues to the Director and relevant risk or compliance owners.

• Coordinate governance priorities and dependencies with engineering, data science, risk, compliance, and product teams, representing the function in cross-team discussions.

• Oversee model review preparation, ensuring supporting evidence is accessible and documentation is understandable to both technical and non-technical audiences.

• Improve governance workflows, templates, tools, and automation within established policies, and recommend broader process changes to leadership.

• Develop and defend proposals for improvements that require action or support from other teams.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related technical or quantitative discipline.

• At least 7 years of relevant experience in model governance, model validation, analytics, or related engineering roles.

• At least 2 years of direct people management experience, including setting priorities, coaching technical professionals, managing performance, and coordinating delivery across stakeholders.

• Demonstrated experience overseeing model documentation, approval workflows, governance controls, lifecycle tracking, and audit or governance reviews.

• Strong understanding of AI/ML development, deployment, validation, benchmarking, and monitoring, with the ability to assess technical implementations and guide governance decisions.

• Experience using documentation and tracking tools to manage governance activities, with awareness of data privacy and security considerations.

• Practical experience managing projects and workflows in Jira and maintaining documentation in Confluence.

• Strong people leadership skills, including setting clear expectations, providing constructive feedback, and supporting professional development.

• Excellent communication and presentation abilities, with confidence explaining technical topics, risks, and priorities to diverse audiences.

• Collaborative approach, sound judgment, strong organizational skills, attention to detail, and the ability to manage competing priorities in risk-aware or regulated environments.

Preferred qualifications:

• Working knowledge of Python and/or Java, SQL, databases, and common data formats such as CSV and JSON.

• Ability to review datasets and technical evidence used in model testing and validation.

• Understanding of software development lifecycles, SDKs, APIs, integration patterns, and cloud environments such as AWS, Azure, or GCP.

• Experience evaluating fraud, risk, or decisioning models.

Benefits:

• Annual salary range of $160,000–$200,000, with individual compensation determined by experience, professional competencies, and geographic differentials.

• Remote-first working environment, with flexibility to work remotely or from an office where available.

• Healthcare plan options, including universal, supplemental, and private healthcare coverage depending on location.

• Retirement or pension plan contributions.

• Eligibility to participate in a company stock plan.

• Life event and disability coverage.

• Generous annual paid leave and company holidays.

• Volunteer time off.

• Access to e-learning resources and tuition reimbursement.

• Opportunities to participate in hackathons and professional development activities.

• Home office setup allowance.

• Optional benefits may include pet insurance, identity theft protection, and legal assistance.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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