Sr. Analyst, Visualization (RAIB)
Role Overview
Support enterprise Responsible AI and Model Risk Management initiatives through analytics, governance reporting, and executive-level storytelling.
Turn complex AI governance data into insights through dashboards, reporting solutions, and analytics frameworks.
Help advance transparency, compliance, and trusted AI adoption across the enterprise.
Key Skills for This Role
Full Job Posting
About the role
Support enterprise Responsible AI and Model Risk Management initiatives through analytics, governance reporting, and executive-level storytelling.
Turn complex AI governance data into insights through dashboards, reporting solutions, and analytics frameworks.
Help advance transparency, compliance, and trusted AI adoption across the enterprise.
What you'll do
- Build enterprise AI governance and model risk dashboards with Power BI, Tableau, or similar tools.
- Create reporting frameworks for model inventories, risk ratings, review status, controls testing, and compliance activities.
- Use advanced SQL queries and data models for governance repositories, assessments, and audit trails.
- Define and track Responsible AI KPIs, fairness metrics, model performance trends, compliance measures, and governance effectiveness.
- Prepare executive- and board-ready presentations, reports, and visualizations from technical AI risk findings.
- Automate reporting pipelines and data preparation with Python and/or R.
- Work with stakeholders to define reporting requirements, improve governance processes, and support data-informed decisions.
- Assess analytics, governance, and reporting technologies to enhance AI risk management.
Basic requirements
- 7+ years of experience in Business Intelligence, Analytics, AI Governance, Model Risk Management, Data Governance, or a related field.
- Bachelor's degree or equivalent combination of education and experience.
- Enterprise dashboard experience with Power BI, Tableau, or similar BI platforms.
- Advanced SQL skills, including complex joins, transformations, data modeling, and performance optimization.
- Experience designing KPIs, metrics, and executive reporting frameworks and presenting insights to senior stakeholders.
- Experience in regulated or compliance-driven environments.
- Strong written and verbal communication skills.
Preferred skills and experience
- Responsible AI, AI Governance, AI Risk Management, or Model Risk Management program experience is preferred.
- Python or R programming for analytics automation and reporting is preferred.
- Experience with model inventories, validation processes, risk assessments, and governance workflows is preferred.
- Knowledge of AI regulatory frameworks and emerging governance standards is preferred.
- Internal web application, reporting portal, board-level reporting, or executive communication experience is preferred.
- Healthcare, pharmaceutical, financial services, or other highly regulated industry experience is preferred.
- Experience mentoring analysts and leading cross-functional initiatives is preferred.
Compensation
- A base pay range of $99,100–$132,100 is listed; the description does not specify a pay cadence.
- Additional compensation may include an annual bonus or long-term incentive opportunities.
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