Compliance Risk Analyst - PV W2

Job Description -

5-8 Years of experience only- Client will not look anyone outside this experience range

Need candidates on PV 2

**LinkedIn ID with proper projects and education details is must**

Compliance Risk Analyst

Location: Hybrid - Tues and Wed in Marlborough, MA and need locals within 45-60 miles

Duration: 12 Months

MOI: Skype

Required:

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.
• 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., ServiceNow , SharePoint , Power Automate/Power Apps , Confluence/Jira ), data catalog/lineage, and assessment tools.

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.