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Manager Ai Governance Jobs in Indiana (NOW HIRING)

Lead AI Governance & Responsible Use: Maintain and evolve the firm's AI governance framework ... Manage Stakeholders & Advocate: Serve as the senior point of contact for AI enablement across ...

Lead AI Governance & Responsible Use: Maintain and evolve the firm's AI governance framework ... Manage Stakeholders & Advocate: Serve as the senior point of contact for AI enablement across ...

Lead AI Governance & Responsible Use: Maintain and evolve the firm's AI governance framework ... Manage Stakeholders & Advocate: Serve as the senior point of contact for AI enablement across ...

Enterprise Architect (IT)

Indianapolis, IN · On-site +1

$66 - $85/hr

Familiarity with technology risk management, operational resilience, data privacy, vendor governance, audit, or regulatory examination support. * Familiarity with AI governance, model risk ...

Enterprise Architect (IT)

Indianapolis, IN · On-site +1

$102K - $208K/yr

Familiarity with technology risk management, operational resilience, data privacy, vendor governance, audit, or regulatory examination support. * Familiarity with AI governance, model risk ...

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Manager Ai Governance information

What is a manager AI governance?

Manager AI Governance roles involve overseeing the ethical, regulatory, and operational aspects of artificial intelligence systems within an organization. These managers establish policies, ensure compliance with legal requirements, and monitor AI projects to mitigate risks such as bias, privacy violations, or unintended consequences. They collaborate with technical teams, legal experts, and stakeholders to create frameworks that promote responsible AI use. Their work is crucial for building trust in AI technologies and aligning them with organizational values and public expectations.

What are some common challenges faced by a manager AI governance when implementing ethical AI practices across an organization?

A Manager of AI Governance often encounters challenges such as aligning diverse stakeholders on ethical standards, ensuring compliance with evolving regulations, and integrating responsible AI practices into existing business processes. Navigating the balance between innovation and risk mitigation can be complex, particularly in organizations with rapidly scaling AI initiatives. Additionally, fostering cross-functional collaboration between technical teams, legal, compliance, and business units is essential for creating robust governance frameworks that are both practical and effective.

What are the key skills and qualifications needed to thrive as a manager AI governance, and why are they important?

To thrive as a Manager AI Governance, you need a strong background in data science, AI ethics, regulatory compliance, and risk management, often supported by degrees in computer science, law, or related fields. Familiarity with AI governance frameworks, compliance tools, data privacy regulations, and certifications like CIPP or CISSP is typically required. Exceptional communication, strategic thinking, and stakeholder management skills help navigate complex ethical considerations and align teams. These competencies are crucial to ensure responsible AI deployment, regulatory adherence, and organizational trust in AI initiatives.

What are the most commonly searched types of Ai Governance jobs in Indiana?

The most popular types of Ai Governance jobs in Indiana are:

What are popular job titles related to Manager Ai Governance jobs in Indiana?

For Manager Ai Governance jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Manager Ai Governance jobs in Indiana look for?

The top searched job categories for Manager Ai Governance jobs in Indiana are:

What cities in Indiana are hiring for Manager Ai Governance jobs?

Cities in Indiana with the most Manager Ai Governance job openings:

Artificial Intelligence (AI) Data Governance Officer

Northwest-Bank

Fishers, IN • On-site

$120 - $180/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

IN0534 Fishers, OH0523 Independence Bus Office, OH0713 NW Bancshares HQ, PA0258 Bellevue, PA0736 Administration CenterJob DescriptionThe AI Governance Officer is a senior-level contributor responsible for administering the Bank's enterprise AI governance framework and supporting the oversight of artificial intelligence use cases throughout their lifecycle. The role exercises sound judgment in assessing AI-related risks, facilitating risk-based governance decisions, coordinating cross-functional review processes, and ensuring compliance with internal standards and regulatory expectations. The position plays a critical role in enabling responsible innovation while maintaining transparency, accountability, and effective oversight of AI capabilities deployed across the institution.Essential FunctionsLeads administration of the Bank’s enterprise AI risk governance framework and supporting procedures. Coordinates activities across all business lines and corporate functions.Coordinate intake, assessment, and governance activities for proposed AI use cases. Determine and document the classification of solutions as models, agents, tools, job aids, or other categories defined by policy.Serve coordinator for the AI Working Group, including preparation of agendas, meeting materials, decision logs, and action item tracking.Maintain the enterprise inventory of AI use cases and associated governance records.Assess proposed AI implementations to determine applicable governance requirements and control expectations.Develop management reporting and dashboards related to AI inventory, approvals, issues, and emerging risks. Monitor compliance with AI governance standards and escalate material issues to executive leadership.Promote awareness and understanding of AI governance requirements throughout the institution.Develops and maintains enterprise policies, standards, and procedures governing AI risk.Serve as a senior member of the Model Risk team, exercising sound judgment in evaluating model risk and making decisions on model approvals and issue closures as a delegate of the Chief Model Risk Officer.Participate in the research and evaluation of emerging modeling techniques, including AI/ML, and assess their applicability and risk implications within the institution.Contribute to the development and enhancement of the model risk management framework, including validation methodologies, documentation standards, and governance practices.Review academic and industry research, summarize key insights, and propose practical applications to improve model risk oversight and innovation.Ensure compliance with Northwest’s policies and procedures, as well as applicable federal and state regulations including SR26-2, interagency AI/ML guidance, and the U.S. Treasury Financial Services AI Risk Management Framework.Interprets evolving regulatory expectations relating to artificial intelligence and translates them into practical governance requirements.Serves as the primary coordinator for regulatory examinations, audits, and independent reviews of AI governance.Additional Essential FunctionsEnsure compliance with Northwest’s policies and procedures, and Federal/State regulationsNavigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiencyWork as part of a teamWork with on-site equipmentWhat You Bring to the TeamParticipate in enterprise initiatives involving emerging technologies and advanced analytics.Own the design, implementation, and enhancement of governance workflows within Archer or similar systems.Recommend customer service enhancementsQUALIFICATIONSTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.EducationBachelor's Degree Undergraduate degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.Master's Degree Master's degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.Work Experience8 - 12 years Experience in a financial institution or consulting environment, with demonstrated exposure to AI governance And3 - 5 years Experience evaluating or governing AI/ML use cases across the lifecycle, including:pre-implementation assessmentcontrol designpost-deployment monitoringExperience with generative AI, machine learning, or decision-support systems, including understanding of associated risks (e.g., bias, explainability, data dependency, automation risk)Experience supporting or interacting with internal audit, regulators, or independent model review functionsExperience supporting or interacting with internal audit, regulators, or independent model review functionsAdditional Knowledge, Skills and AbilitiesAbility to apply risk-based judgment in ambiguous situations, particularly in evaluating AI use cases where regulatory expectations and governance standards are evolvingAbility to analyze complex AI/ML concepts and communicate risks, limitations, and trade-offs clearly to both technical and non-technical stakeholdersAbility to challenge and influence business and technology stakeholders to ensure appropriate risk identification, control design, and governance outcomesAbility to identify patterns, emerging risks, and systemic issues across multiple AI use cases rather than evaluating them in isolation.Ability to make sound governance decisions in gray areas, including classification (model vs agent vs tool), control requirements, and escalation thresholdsAbility to coordinate cross-functional governance processes and drive clear outcomes across Risk, Technology, Compliance, Legal, and Business teamsAbility to develop and interpret risk metrics, monitoring outputs, and performance indicators for AI systemsLicenses and CertificationsCertified Information Systems Auditor (CISA)Certified in Risk and Information Systems Control (CRISC)Financial Risk Manager (FRM)Certified Third-Party Risk Professional (CTPRP)Relevant AI governance certificationsNorthwest is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr