Compliance Risk Analyst - Mid-Level Job Marlborough area,Massachusetts USA,IT/Tech

Job Title:
Compliance Risk Analyst
Job Duration: 24 Months Contract
Est. Pay Range: $44.00 – $48.00/hr on W2

Location:

Marlborough, MA, 01752

Job Description:

The Compliance Risk Analyst – Mid-level is responsible for evaluating and assessing AI and analytics solutions are designed, deployed, and operated responsibly aligned with Client AI Governance policies, Legal, Regulatory, Ethical, and Organizational standards.
You will help review AI use cases, strengthen AI governance frameworks, manage intake, and risk assessments, drive compliance with global regulations, and enable teams to build trustworthy AI with clear accountability.

What You’ll Do:

Assessments
Analyzing the AI use cases and taking them through their lifecycle such as Intake, Review, Assessment, Socialization and Closure.
Maintain inventories of AI systems, models, datasets, and third-party AI tools, including risk tiers and approval statuses.
Risk & Compliance
Highlight risks associated with the use case and make the business owners aware of the risks and help those business owners respond to those risks.
Lead AI risk assessments: assess purpose, model risk, bias, transparency, accuracy, human oversight, etc.
Operations & Enablement
Run the AI intake process (triage, scoping, routing) in collaboration with Legal, Privacy, Cybersecurity, IT and Business stakeholders.
Develop governance templates and artifacts (risk profiles, decision logs, RACI, playbooks, assessment checklists, etc.).
Monitoring & Reporting
Produce dashboards and executive reports for leadership, audit, and regulatory inquiries.
Facilitate periodic reviews of AI systems; coordinate post-deployment monitoring and incident response workflows.
Stakeholder Collaboration
Partner with IT, Legal, Privacy, Cybersecurity, and AI Governance Committee to align governance requirements with delivery milestones and identify regulatory considerations the AI use cases pose to the organization.
Support the organization’s AI literacy program through risk identification and providing business owners guidance on responsible AI practices, policy updates, and process changes.
Core Competencies
Risk Mindset: Ensures strong governance without hindering innovation; foresees downstream risks and raising it to the business teams.
Analytical Thinking: Structures complex problems, synthesizes evidence, and recommends actionable controls.
Stakeholder Influence: Facilitates alignment across Legal, Privacy, Cybersecurity, IT and AI Governance Committee.
Communication: Produces clear, audit ready documents and concise executive updates.
Process Ownership: Drives intake, assessment, and monitoring workflows end-to-end with strong follow-through.

Required Qualifications:

5 - 8 years of governance or risk management type experience
Bachelor’s degree in a relevant field (e.g., Data/Computer Science, Information Systems, Risk/Compliance) OR equivalent experience.
Experience working with Microsoft Office Suite
Working knowledge of AI/ML (machine learning) concepts (data pipelines, model lifecycle, performance monitoring, bias, explainability).
Experience operationalizing governance processes (intake, control testing, evidence collection, reporting).
Strong analytical, documentation, and stakeholder communication skills.

Preferred Qualifications:

1 - 2 years of AI experience
Familiarity with AI model governance artifacts (model cards, datasheets, risk registers), responsible AI practices (human oversight, safety, transparency), and MLOps.
Exposure to enterprise platforms supporting governance workflows (e.g., Service Now, SharePoint, Power Automate/Power Apps, Confluence/Jira), data catalog/lineage, and assessment tools.