Senior Analyst AI Governance

Overview

Senior AI Analyst providing advanced analytical support for enterprise AI governance, reporting, portfolio analysis, adoption tracking, and operational coordination.

What you'll do

• Collect, validate, analyze, and maintain AI portfolio, governance, adoption, usage, delivery, and operational data.
• Develop and enhance dashboards, scorecards, executive reports, and presentations supporting AI governance, portfolio management, and leadership decision-making.
• Support AI inventory management, use case intake coordination, governance tracking, risk assessment activities, and action follow-up across AI initiatives.
• Analyze trends, risks, dependencies, delivery performance, adoption patterns, and governance metrics; provide recommendations to improve AI program effectiveness.
• Develop and maintain governance documentation, reporting standards, templates, and structured repositories supporting audit readiness and operational excellence.
• Partner with business, technology, governance, platform, cybersecurity, privacy, legal, and data teams to improve reporting quality, governance maturity, and operational consistency.
• Identify opportunities to automate reporting, improve data quality, and enhance governance processes using enterprise reporting and collaboration tools.
• Provide guidance and knowledge sharing to AI Analysts on reporting practices, governance processes, and analytical techniques, as appropriate.

What you'll need

• University or College education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or related field; equivalent experience considered.
• 6-8 years of experience in business analysis, data analysis, reporting, portfolio coordination, technology operations, governance support, or related roles.
• Strong Excel and Power BI skills.
• Ability to structure ambiguous information, identify data quality issues, and prepare clear executive-level summaries.
• Strong attention to detail, communication, collaboration, and follow-through.

Nice to have

• Experience with SharePoint, Teams, Jira, ServiceNow, Azure DevOps, or similar tools is an asset.
• Understanding of AI, technology delivery, governance, risk, or compliance environments is preferred.