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Ai Risk Analyst Jobs in Gardner, MA (NOW HIRING)

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Generate technical documentation supporting design controls, verification, validation, risk ... analysis, including convolutional neural networks and vision transformers * Proven experience ...

Generate technical documentation supporting design controls, verification, validation, risk ... analysis, including convolutional neural networks and vision transformers * Proven experience ...

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Generate technical documentation supporting design controls, verification, validation, risk ... analysis, including convolutional neural networks and vision transformers * Proven experience ...

Account Director

Worcester, MA · Remote

$110K - $130K/yr

Governance, Risk and Compliance solutions * Advanced Threat, Behavioral Analysis, Next Gen endpoint ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Account Director

Worcester, MA · On-site

$110K - $130K/yr

Governance, Risk and Compliance solutions * Advanced Threat, Behavioral Analysis, Next Gen endpoint ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Account Director

Worcester, MA · On-site +1

$110K - $130K/yr

Governance, Risk and Compliance solutions * Advanced Threat, Behavioral Analysis, Next Gen endpoint ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Execute test plans, analyze results, and deliver clear, testdriven feedback to design and systems ... risk assessments. * Improve lab capability by identifying gaps in tooling, instrumentation ...

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Ai Risk Analyst information

See Gardner, MA salary details

$16

$42

$69

How much do ai risk analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai risk analyst in Gardner, MA is $42.89, according to ZipRecruiter salary data. Most workers in this role earn between $31.59 and $52.21 per hour, depending on experience, location, and employer.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.
What cities near Gardner, MA are hiring for Ai Risk Analyst jobs? Cities near Gardner, MA with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Gardner, MA as of June 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $89,216 per year, or $42.9 per hour.

IS Lead - Digital Solutions & Artificial Intelligence

Trelleborg Healthcare & Medical Tustin

Northborough, MA • On-site

$172K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Summary of the role

The IS Lead - Digital Solutions & Artificial Intelligence is responsible for identifying, developing, implementing, and supporting digital and AI-enabled solutions that improve operational efficiency, strengthen decision-making, and drive innovation across Trelleborg Medical Solutions. This role serves as a technical and business liaison for artificial intelligence, automation, low-code/no-code platforms, advanced analytics, digital workplace solutions, and emerging technologies. The position partners with business leaders, process owners, quality, manufacturing, engineering, and IT teams to deliver scalable solutions aligned with TMS objectives, regulatory expectations, and information security standards. As TMS continues its digital transformation journey, this role helps establish AI governance, evaluate emerging technologies, reduce shadow AI risk, and ensure solutions are implemented in a secure, compliant, sustainable, and business-value-driven manner.

Key Responsibilities

Digital Transformation & Innovation
· Lead the evaluation, selection, implementation, and support of digital solutions across TMS.
· Identify opportunities to automate business, manufacturing, quality, and support processes through technology.
· Develop practical roadmaps for emerging technologies and digital innovation initiatives.
· Partner with stakeholders to understand business challenges and translate requirements into technology solutions.
· Drive continuous improvement through process digitization, workflow optimization, and user adoption.
 
Artificial Intelligence Strategy & Enablement 
· Act as a TMS subject matter expert for AI technologies and AI-enabled solutions.
· Evaluate AI platforms and technologies in alignment with Trelleborg and TMS strategies.
· Lead AI use-case discovery workshops with business and functional teams.
· Develop and maintain an AI opportunity pipeline focused on measurable business value.
· Implement and support AI solutions that improve productivity, quality, customer service, engineering, supply chain, and manufacturing operations.
· Promote responsible AI practices, governance, security, and regulatory compliance.
· Monitor industry trends and emerging technologies to identify future opportunities.
 
Power Platform & Digital Solutions 
· Serve as technical lead for Microsoft Power Platform, including Power Apps, Power Automate, Power BI, Microsoft Copilot, and Dataverse.
· Design and oversee citizen development frameworks and governance.
· Establish standards for low-code/no-code solutions, including documentation, ownership, support, and lifecycle management.
· Ensure digital solutions are scalable, maintainable, secure, and properly documented.
 
Governance, Compliance & Security 
· Establish and maintain AI and digital solution governance processes.
· Ensure solutions meet quality, cybersecurity, privacy, validation, and regulatory requirements where applicable.
· Partner with Technical Services, Infrastructure, Information Security, and application owners to validate architecture and compliance requirements.
· Assist in audit readiness activities and support validation efforts as required.
 
Project Leadership, Adoption & Change
· Lead technology projects from concept through implementation and transition to support.
· Develop business cases, project plans, timelines, risk assessments, and success metrics.
· Coordinate internal resources, vendors, and external partners.
· Ensure successful deployment, adoption, knowledge transfer, and ongoing operational support.
· Develop awareness and training programs related to AI and digital technologies.
· Provide coaching to business users, power users, and citizen developers.
 
Additional Responsibilities
· Support enterprise innovation initiatives and strategic technology planning activities.
· Assist with mergers, acquisitions, and system integration initiatives as needed.
· Create and maintain standards, documentation, solution inventories, and best-practice guides.
· Perform other duties as assigned.
 
Education and Experience
 
Required
· Bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, Business Information Systems, or related discipline.
· Minimum 5-8 years of experience in Information Technology, digital transformation, business systems, analytics, automation, or artificial intelligence initiatives.
· Experience leading technology projects and cross-functional business initiatives.
· Experience with Microsoft 365 technologies and modern collaboration platforms.
· Strong understanding of business process analysis, solution design, and change adoption.
· Experience working with cloud-based technologies and SaaS applications.
 
Preferred
· Experience with Microsoft Power Platform, including Power Apps, Power Automate, Power BI, Copilot, and Dataverse.
· Experience with Microsoft Copilot, Azure AI Services, OpenAI technologies, or other enterprise AI platforms.
· Experience with manufacturing, medical device, life sciences, or another regulated industry.
 

#TMS

As a valued team member with Trelleborg, you will enjoy:
  • Competitive compensation: Plus, bonus opportunities!
  • Generous benefits package: Includes health, dental, vision, STD, LTD, life, 401k, paid time off, tuition reimbursement, and more!
  • Clean work environment: Enjoy working in a very clean and climate-controlled environment every day!
  • Greater opportunity for impact: You will impact the production of life-saving devices.
  • Growth and advancement: Join a global company that loves to promote from within and allows for advancement.
Base Salary Range: $118,000 - $159,000 annually. Actual compensation will be determined based on factors such as skills, experience, qualifications, and geographic location.
 
Onsite Requirement: For the first six months, this role will be fully onsite (Monday–Friday). After that period, the position may transition to a hybrid schedule with three inoffice days per week.