Top AI Ethics Jobs in Chicago, IL

Supports AI governance projects by assessing risks and controls, documenting processes, gathering requirements, analyzing information, and synthesizing findings. Advises clients on regulatory compliance, risk management, internal controls, and governance improvements. The role involves applying AI/ML governance frameworks such as NIST and ISO, translating technical concepts for stakeholders, collaborating with diverse teams, and developing expertise in corporate governance and risk management.

Provides global technical leadership for digital AI standards, certification, assurance, training, advisory, and assessment services. Develops AI governance and lifecycle assurance methodologies covering predictive and generative AI, LLMs, agents, cloud AI, model risk, testing, transparency, fairness, privacy, security, robustness, and operational resilience. Translates regulations, standards, emerging technologies, and customer needs into scalable offerings while engaging customers, regulators, standards bodies, and internal stakeholders.

Own and deliver high-value AI use cases end-to-end by embedding in business workflows, partnering with AI engineering pods, ensuring integrations (SAP, Salesforce, Databricks, Distyl), driving adoption, measuring business outcomes, and enforcing Responsible AI, security, and governance standards.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Leads CDW’s AI advisory consulting portfolio, including strategy, governance, operating models, adoption, prioritization, and roadmaps. Develops consulting methodologies, delivery frameworks, sales enablement, and thought leadership. Advises executives and customers, leads complex presales pursuits, shapes proposals and business cases, oversees delivery quality and risk, evaluates technical feasibility, and mentors consulting and presales teams.

Leads Highmark Health’s Finance AI strategy, roadmap, governance, and transformation. The role identifies and scales AI and automation use cases, redesigns finance processes, establishes controls for responsible AI use, manages vendors and partners, tracks value and risk, and drives adoption through training and change enablement. Responsibilities span accounting, forecasting, reporting, finance operations, data integrity, model oversight, regulatory compliance, and cross-functional collaboration.

Leads enterprise AI assurance and audit engagements covering Generative AI, LLMs, AI governance, Responsible AI, risk management, and AI-enabled processes. Evaluates controls for bias, fairness, transparency, privacy, hallucinations, misuse, human oversight, monitoring, and regulatory compliance. Advises senior management and the Board, identifies control gaps and emerging risks, develops audit plans, manages teams and resources, and delivers objective recommendations across the organization.

Leads enterprise AI platform governance and operations, overseeing Microsoft AI and collaboration platforms, governance frameworks, controls, lifecycle management, integrations, monitoring, auditability, licensing, budgets, and cost optimization. Translates cybersecurity, privacy, data governance, legal, and compliance requirements into platform controls. Manages platform engineers and vendors, evaluates changes and business requests, and communicates operational, risk, adoption, and performance insights to stakeholders.

Lead enterprise AI tooling strategy, governance, roadmap, and lifecycle. Maintain an enterprise inventory of AI tools, manage vendor relationships, drive tool evaluation/onboarding/retirement, ensure security and Responsible AI alignment, and enable cross-functional adoption and optimization across engineering, product, security, procurement, and governance teams.

Leads clinical AI strategy, validation, safety evaluation, and deployment for clinical decision-support solutions. Partners with Product, Engineering, Editorial, Business Development, customers, and strategic partners to ensure clinically accurate and trustworthy implementations. Designs clinical outcomes studies, translates stakeholder feedback into improvements, monitors AI and regulatory developments, and represents the organization through thought leadership. Physicians may maintain up to 20% clinical practice.