1041 Ai Security Developer jobs in Chicago,IL

Data and AI Governance experience
Risk management experience.
CDMP and/or AIGP certifications.
Typically, 5 - 7 years of relevant experience in governance, risk, compliance, data governance, AI governance, risk management, audit, or related disciplines, with a strong focus on advisory and oversight activities.
Strong knowledge of Data and AI governance risk and regulatory requirements, including data privacy, data quality, model risk, and emerging AI governance considerations.
Solid understanding of applicable regulations, industry standards, and control frameworks relevant to enterprise risk management and the data and AI lifecycle.
Experience supporting risk assessments (e.g., PSPRA, RCRA, process risk and control assessments), including advising on risk identification, control considerations, and Key Risk Indicators (KRIs).
Strong analytical and critical-thinking skills, with the ability to assess governance and control alignment, identify gaps, and articulate risk implications.
Effective communication, collaboration, and stakeholder management skills, with the ability to influence across first- and second-line functions.
Ability to work independently, exercise sound judgment, and appropriately escalate governance or risk concerns.
CDMP - Certified Data Management Professional (by DAMA)
CRISC - Certified in Risk and Information Systems Control (by ISACA) OR CGRC - Certified in Governance, Risk and Compliance (by ISC2)

Johnson Controls

Arlington Heights, IL 60005

Previous progressive sales roles
Exposure to sales methodologies, standards, and disciplines.
Enviable presentation skills complete with the ability to captivate in both individual and group communications.

Gartner

Chicago, IL 60601

WORLDPAC

Oak Brook, IL 60523

Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Information Technology, Business Administration, or a related field.
5 - 7 years of experience as a Data Analyst, BI Analyst, or similar analytics-focused role.
Strong SQL skills with hands-on experience querying cloud data warehouses (Snowflake strongly preferred).
Demonstrated advanced/expert level experience building dashboards and reports using Power BI, including use of semantic models and Microsoft Fabric.
Experience defining and validating KPIs and business metrics.
Solid understanding of descriptive and basic inferential statistics for business analysis.
Advanced Excel for analysis and modeling.
Understanding data governance, metric standardization, and data quality concepts.
Experience working in agile analytics or BI environments using Jira and Confluence, ServiceNow and/or similar tools.
Strong analytical thinking, attention to detail, and problem-solving skills.
Excellent written and verbal communication skills, with the ability to convey insights clearly to non-technical audiences.