Data and Responsible AI Governance Lead - W2 ONLY

Position: Data and Responsible AI Governance Lead

Location: St. Louis, MO (Initial Months Travel)

Duration: 6-12 Months Contract

Note - Profiles in the St. Louis market are highly preferred as travel to St. Louis will be required for the first couple of month

s.
Job Summ

aryWe are seeking a Data and Responsible AI Governance Lead to define, operationalize, and continuously improve the governance framework for data and AI across the enterprise. This role will lead policies, controls, and oversight mechanisms that promote ethical, compliant, secure, and business-aligned use of data and AI solutions. The ideal candidate brings deep experience in data governance, AI risk management, regulatory compliance, and cross-functional stakeholder leadersh

ip.
Key Responsibili

• tiesLead the design and implementation of enterprise-wide data and Responsible AI governance frameworks, standards, and operating mod
• els.Establish policies and controls for data quality, data lineage, access management, model transparency, fairness, explain ability, privacy, and monitor
• ing.Oversee governance processes for AI use cases, including intake, risk assessment, approval, exception management, and ongoing rev
• iew.Partner with legal, compliance, cyber, technology, risk, and business teams to ensure governance practices align with internal policies and external regulatory requireme
• nts.Define roles, decision rights, and accountability across data owners, model owners, developers, risk, and control functi
• ons.Develop and track KPIs, KRIs, and governance reporting for executive leadership and governance committ
• ees.Support model and AI lifecycle governance, including documentation, testing, validation, deployment controls, and post-production monitor
• ing.Drive awareness and adoption of Responsible AI principles through training, communications, and change managem
• ent.Monitor emerging regulations, industry standards, and leading practices related to data governance and AI governance, and translate them into practical enterprise acti
• ons.Identify governance gaps and lead remediation plans to strengthen control effectiveness and business adopt

ion.
Required Qualifica

• tionsBachelor’s degree in Data, Computer Science, Information Systems, Risk, Law, Public Policy, or a related f
• ield.8 years of experience in data governance, AI governance, risk management, compliance, or a related f
• ield.Experience building or leading governance programs for data, analytics, machine learning, or generativ
• e AI.Strong understanding of Responsible AI principles, including fairness, accountability, transparency, privacy, safety, and human overs
• ight.Knowledge of relevant regulatory and risk domains such as data privacy, model risk, information security, and records manage
• ment.Demonstrated ability to influence senior stakeholders and lead cross-functional initiatives in complex organizat
• ions.Strong written and verbal communication skills, with the ability to translate technical and regulatory topics into business decis

ions.
Success P

• rofileStrategic thinker with strong execution disci
• pline.Comfortable balancing innovation, control, and business enabl
• ement.Strong judgment, credibility, and stakeholder management s
• kills.Able to operate effectively in ambiguity and build structure where it does not yet
• exist.Sample Outcomes for the First 12
• MonthsStand up a formal Responsible AI governance process and committee stru
• cture.Launch enterprise standards for high-risk AI use cases and model document
• ation.Implement governance reporting for leadership on data and AI risk po
• sture.Improve compliance, transparency, and decision traceability across priority AI initia