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Remote Ai Governance Jobs in Rochester, NY (NOW HIRING)

... AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems For individuals assigned and/or hired to work in a remote role ...

... AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems For individuals assigned and/or hired to work in a remote role ...

... AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems For individuals assigned and/or hired to work in a remote role ...

The company is hybrid but qualified remote applicants are encouraged to apply. ESSENTIAL DUTIES AND ... Establish AI governance policies covering model explainability, bias detection, data privacy, and ...

Remote Ai Governance information

See Rochester, NY salary details

$25

$66

$82

How much do remote ai governance jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote ai governance in Rochester, NY is $66.95, according to ZipRecruiter salary data. Most workers in this role earn between $66.39 and $79.47 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote AI governance roles, and how can they be addressed?

Remote AI governance professionals often face challenges such as coordinating with cross-functional teams across different time zones, ensuring clear communication on complex ethical standards, and staying updated on evolving regulations. To address these, it's helpful to establish regular check-ins, use collaborative tools for documentation and decision-making, and participate in ongoing training or industry forums. Proactively building relationships with legal, technical, and business stakeholders also helps in aligning governance policies and ensuring responsible AI deployment.

What are the key skills and qualifications needed to thrive as a remote AI governance professional, and why are they important?

To thrive as a Remote AI Governance professional, you need a solid understanding of AI ethics, regulatory frameworks, risk management, and data privacy, often supported by degrees in law, computer science, or data governance. Familiarity with tools such as AI auditing platforms, compliance management systems, and certifications like CIPP or ISO/IEC 27001 is highly valuable. Strong analytical thinking, effective communication, and the ability to collaborate across technical and non-technical teams set top candidates apart. These competencies are crucial to ensure responsible AI deployment, regulatory compliance, and organizational trust in remote work environments.

What is remote AI governance?

Remote AI Governance refers to the frameworks, policies, and processes used to oversee and ensure the responsible development, deployment, and monitoring of artificial intelligence systems from a remote or distributed setting. Professionals in this field work to guarantee that AI technologies adhere to ethical, legal, and organizational standards, even when teams are not physically co-located. This role often involves risk assessment, compliance monitoring, and the creation of guidelines to ensure transparency, fairness, and accountability in AI systems.

What is the difference between Remote Ai Governance vs Remote AI Ethics Specialist?

AspectRemote Ai GovernanceRemote AI Ethics Specialist
Required CredentialsAI, data science, or policy certifications; knowledge of AI regulationsEthics, philosophy, or law certifications; understanding of AI impact
Work EnvironmentCross-functional teams, policy development, compliance oversightResearch, policy advising, ethical review panels
Employer & Industry UsageTech companies, AI startups, regulatory agenciesResearch institutions, tech firms, consulting firms
Search & Comparison IntentUnderstanding governance roles in AI developmentExploring ethical considerations in AI deployment

Remote Ai Governance focuses on establishing policies, compliance, and oversight for AI systems, ensuring they meet legal and ethical standards. Remote AI Ethics Specialists primarily analyze ethical implications, advise on responsible AI use, and address societal impacts. While both roles involve AI and ethics, governance emphasizes policy enforcement, whereas ethics specialists focus on moral considerations and ethical frameworks.

What are the most commonly searched types of Ai Governance jobs in Rochester, NY? The most popular types of Ai Governance jobs in Rochester, NY are:
What job categories do people searching Remote Ai Governance jobs in Rochester, NY look for? The top searched job categories for Remote Ai Governance jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Ai Governance jobs? Cities near Rochester, NY with the most Remote Ai Governance job openings:
Infographic showing various Remote Ai Governance job openings in Rochester, NY as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $139,258 per year, or $67 per hour.

System Test and Validation Lead

Deloitte

Rochester, NY • On-site, Remote

Full-time

Posted 21 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Drive validation and compliance activities for complex GxP systems as a Senior Consultant, Regulatory, Risk, and Compliance. This role supports system validation strategy, audit readiness, CAPA management, and risk-based compliance activities across regulated technology environments. This role helps clients address emerging validation considerations for AI/ML-enabled systems and automation frameworks. If this sounds exciting, then this team may be the right fit for you!

Work you'll do

As a Senior Consultant, Regulatory, Risk, and Compliance on the Regulatory, Risk, and Forensic team, you will be responsible for...

  • Lead end-to-end validation activities for GxP systems, including validation plans, IQ/OQ/PQ protocols, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Apply risk-based validation principles to assess system impact, classify validation requirements, and support compliance with GAMP 5, 21 CFR Part 11, and data integrity expectations
  • Drive inspection readiness activities, including gap assessments, mock audits, validation package reviews, and support for regulatory inspections and responses
  • Lead CAPA activities for validation findings, including root cause analysis, effectiveness checks, closure documentation, and tracking of open compliance actions
  • Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Qualifications

Required:

  • Bachelor's degree in business, information systems, computer science, engineering, or equivalent experience; 6+ years of experience in computer system validation in a life sciences environment, including pharma, biotech, medical device, or clinical
  • Experience leading validation deliverables for GxP systems, including IQ/OQ/PQ protocols, validation plans, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Experience applying 21 CFR Part 11, EU Annex 11, GAMP 5, and data integrity requirements, including Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available principles
  • Experience managing CAPA lifecycle activities and supporting inspection readiness for Food and Drug Administration or European Medicines Agency audits
  • Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool behavior, and qualifying or validating automation testing frameworks
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting periodic review programs for validated systems and associated CAPA triggers
  • Experience validating cloud or software as a service platforms, including Veeva, ServiceNow, or Salesforce in a GxP environment
  • Experience working in Agile delivery environments with validation activities embedded in sprints
  • Experience with AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems

For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to a remote role and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $145,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Drive validation and compliance activities for complex GxP systems as a Senior Consultant, Regulatory, Risk, and Compliance. This role supports system validation strategy, audit readiness, CAPA management, and risk-based compliance activities across regulated technology environments. This role helps clients address emerging validation considerations for AI/ML-enabled systems and automation frameworks. If this sounds exciting, then this team may be the right fit for you!

Work you'll do

As a Senior Consultant, Regulatory, Risk, and Compliance on the Regulatory, Risk, and Forensic team, you will be responsible for...

  • Lead end-to-end validation activities for GxP systems, including validation plans, IQ/OQ/PQ protocols, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Apply risk-based validation principles to assess system impact, classify validation requirements, and support compliance with GAMP 5, 21 CFR Part 11, and data integrity expectations
  • Drive inspection readiness activities, including gap assessments, mock audits, validation package reviews, and support for regulatory inspections and responses
  • Lead CAPA activities for validation findings, including root cause analysis, effectiveness checks, closure documentation, and tracking of open compliance actions
  • Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Qualifications

Required:

  • Bachelor's degree in business, information systems, computer science, engineering, or equivalent experience; 6+ years of experience in computer system validation in a life sciences environment, including pharma, biotech, medical device, or clinical
  • Experience leading validation deliverables for GxP systems, including IQ/OQ/PQ protocols, validation plans, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Experience applying 21 CFR Part 11, EU Annex 11, GAMP 5, and data integrity requirements, including Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available principles
  • Experience managing CAPA lifecycle activities and supporting inspection readiness for Food and Drug Administration or European Medicines Agency audits
  • Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool behavior, and qualifying or validating automation testing frameworks
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting periodic review programs for validated systems and associated CAPA triggers
  • Experience validating cloud or software as a service platforms, including Veeva, ServiceNow, or Salesforce in a GxP environment
  • Experience working in Agile delivery environments with validation activities embedded in sprints
  • Experience with AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems

For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to a remote role and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $145,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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