{"schemaVersion":"jobsearcher.job.v1","id":"9a26d7c8b5d2becf3edfc7fa","url":"https://jobsearcher.com/jobs/9a26d7c8b5d2becf3edfc7fa","canonicalUrl":"https://jobsearcher.com/jobs/9a26d7c8b5d2becf3edfc7fa","title":"AI Program Manager","description":"Job Summary\nThe AI Program Manager leads day to day execution of KLS Martin's enterprise AI program across all US business units. This role runs the AI governance framework, prioritizes use cases, drives pilots from concept through scaled production, and ensures all AI work meets the regulatory, security, and quality standards required of a medical device organization.\nWorking in close partnership with the AI Solutions Architect, this role translates business needs into a coordinated program of AI investment, enablement, and risk management.\nThe AI Program Manager partners with stakeholders across IT, business units, Quality, Regulatory, Legal, HR, Information Security, and the AI Solutions Architect to ensure AI initiatives deliver on their objectives while meeting applicable regulatory, quality, and security standards.\nThe AI Program Manager contributes to the continuous improvement of AI governance, intake, prioritization, training, and adoption processes, and develops AI literacy across the workforce through coordinated training, communications, and change management.\nEssential Functions, Duties, and Responsibilities\nMaintain and evolve KLS Martin's AI framework, policies, and acceptable use guidelines.\nOperationalize the AI risk and ethics framework, including a risk taxonomy (hallucination, bias, data leakage, model drift, automation risk) and tiered review process for low, medium, and high risk use cases.\nMaintain the enterprise AI registry, the system of record for every AI tool and agent deployed at KLS, including ownership, data flows, and risk classification.\nFacilitate the AI Steering Committee and deliver regular reporting to executive leadership.\nTrack emerging AI capabilities, vendor offerings, and industry practices, and recommend updates to the AI strategy, policies, and roadmap.\nRun the AI use case intake process, including scoring rubric, prioritization, and stage gates from idea through pilot to production.\nPartner with business units to identify, scope, and sponsor opportunities.\nOversee pilots end to end with defined success criteria, exit conditions, and measurable business outcomes.\nDrive adoption planning, change management, and the scaling of validated solutions across the enterprise.\nCoordinate AI literacy and role specific training programs across the workforce.\nDevelop and maintain communication channels (internal newsletter, lunch and learns, office hours) that build a culture of safe and effective AI use.\nPartner with HR on workforce impact, including how AI changes existing roles, required skills, and job design.\nEnsure alignment with IT, Information Security, Legal, Privacy, and Compliance on every initiative.\nCoordinate with Quality and Regulatory Affairs to determine when AI use cases trigger validation, design control, or notification requirements under ISO 13485 and FDA 21 CFR Part 820.\nManage vendor relationships for AI tools, including evaluation, contracts, MSAs, DPAs, renewals, and offboarding.\nManage acceptable use policy enforcement and exceptions handling.\nCoordinate cross functional response to AI incidents (data leakage, policy violations, public failures, regulatory inquiries), including stakeholder communication, post incident review, and corrective action tracking.\nLead AI audit readiness and serve as the primary point of contact for internal and external audit inquiries related to AI systems, governance, and policy compliance.\nServe as the primary liaison with KLS Germany on shared AI initiatives and information sharing across organizations.\nPartner with the AI Solutions Architect on technical feasibility, solution design, and delivery sequencing for approved use cases.\nJointly own with the AI Solutions Architect the graduation criteria for moving prototypes into supported production, ensuring both technical readiness and business readiness.\nServe as the translation layer between business stakeholders and the AI Solutions Architect, keeping technical work grounded in business value and stakeholder context.\nDefine adoption KPIs and ROI metrics for each initiative.\nTrack and report business value, productivity gains, and total cost (including AI vendor and API spend) to stakeholders.\nManage the AI program budget, including forecasting, tracking, and reporting on AI vendor spend, API and model usage costs, training and enablement spend, and platform infrastructure costs.\nPerform other related duties as assigned.\nEducation and Experience Requirements\nBachelor's degree in Business, Information Technology, Engineering, or a related field, or equivalent professional experience.\n7+ years of program or product management experience, with at least 2 years leading AI, data, or digital transformation programs.\nDemonstrated experience working within governance frameworks in a regulated industry (medical device, pharmaceutical, biotechnology, finance, or similar).\nStrong working knowledge of enterprise AI capabilities (generative AI, agents, retrieval augmented generation, classification, automation) sufficient to evaluate proposals and challenge vendors.\nProven ability to build relationships across IT, business units, legal, and compliance functions.\nExcellent written and verbal communication, including executive level briefing skills.\nDemonstrated experience managing program budgets, vendor contracts, and total cost reporting.\nFamiliarity with ISO 13485, FDA 21 CFR Part 820, and HIPAA preferred.\nPMP, PgMP, or equivalent program management certification preferred.\nBackground in formal change management methodologies preferred.\nFamiliarity with major AI providers (Anthropic, OpenAI, Microsoft, Google) and their enterprise offerings preferred.\nPrior experience supporting internal or external audits in a regulated environment preferred.\nFamiliarity with enterprise IT domains relevant to the role, including infrastructure, enterprise applications (ERP, HRIS, CRM, QMS), and cybersecurity preferred.\nKnowledge, Skills, and Abilities\nStrong written and verbal communication skills, with the ability to influence peers, senior stakeholders, and external vendors.\nAbility to develop and maintain collaborative relationships across IT, business units, Quality, Regulatory, Legal, HR, Information Security, and external partners.\nStrong understanding of enterprise AI capabilities, including generative AI, agents, retrieval augmented generation, classification, and automation, sufficient to evaluate proposals and partner effectively with technical teams.\nKnowledge of AI governance, risk, and ethics practices, including risk taxonomies, review processes, and acceptable use frameworks.\nKnowledge of program and project management methodologies including waterfall, agile, and hybrid approaches.\nAbility to translate regulatory and quality requirements into practical program controls and operational practices.\nAbility to establish, monitor, and report on adoption KPIs, business value metrics, and program budget performance.\nAbility to proactively identify program risks, dependencies, and policy gaps and recommend mitigations.\nStrong analytical and problem solving skills with the ability to think strategically and operationally.\nAbility to evaluate program trade offs, prioritization, and resource allocation with incomplete information.\nAbility to manage multiple competing priorities under pressure and shifting business demands.\nStrong leadership skills with demonstrated ability to influence stakeholders and drive alignment across competing priorities without formal authority.\nKnowledge of vendor management practices including evaluation, contract review, SLA governance, and performance evaluation.\nKnowledge of change management principles and adoption planning practices.\nStrong writing skills with the ability to develop policies, executive status reports, business cases, and program documentation.\nConfidence in making independent as well as collaborative decisions as required by the situation.\nAbility to work effectively in both onsite and remote environments as required by the business.","company":"Klsmartingroup","rawCompany":"klsmartingroup","city":"Jacksonville","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-07-18T17:51:51.949Z","occupations":[{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541611","title":"Administrative Management and General Management Consulting Services","slug":"administrative-management-and-general-management-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Program Manager","description":"Job Summary\nThe AI Program Manager leads day to day execution of KLS Martin's enterprise AI program across all US business units. This role runs the AI governance framework, prioritizes use cases, drives pilots from concept through scaled production, and ensures all AI work meets the regulatory, security, and quality standards required of a medical device organization.\nWorking in close partnership with the AI Solutions Architect, this role translates business needs into a coordinated program of AI investment, enablement, and risk management.\nThe AI Program Manager partners with stakeholders across IT, business units, Quality, Regulatory, Legal, HR, Information Security, and the AI Solutions Architect to ensure AI initiatives deliver on their objectives while meeting applicable regulatory, quality, and security standards.\nThe AI Program Manager contributes to the continuous improvement of AI governance, intake, prioritization, training, and adoption processes, and develops AI literacy across the workforce through coordinated training, communications, and change management.\nEssential Functions, Duties, and Responsibilities\nMaintain and evolve KLS Martin's AI framework, policies, and acceptable use guidelines.\nOperationalize the AI risk and ethics framework, including a risk taxonomy (hallucination, bias, data leakage, model drift, automation risk) and tiered review process for low, medium, and high risk use cases.\nMaintain the enterprise AI registry, the system of record for every AI tool and agent deployed at KLS, including ownership, data flows, and risk classification.\nFacilitate the AI Steering Committee and deliver regular reporting to executive leadership.\nTrack emerging AI capabilities, vendor offerings, and industry practices, and recommend updates to the AI strategy, policies, and roadmap.\nRun the AI use case intake process, including scoring rubric, prioritization, and stage gates from idea through pilot to production.\nPartner with business units to identify, scope, and sponsor opportunities.\nOversee pilots end to end with defined success criteria, exit conditions, and measurable business outcomes.\nDrive adoption planning, change management, and the scaling of validated solutions across the enterprise.\nCoordinate AI literacy and role specific training programs across the workforce.\nDevelop and maintain communication channels (internal newsletter, lunch and learns, office hours) that build a culture of safe and effective AI use.\nPartner with HR on workforce impact, including how AI changes existing roles, required skills, and job design.\nEnsure alignment with IT, Information Security, Legal, Privacy, and Compliance on every initiative.\nCoordinate with Quality and Regulatory Affairs to determine when AI use cases trigger validation, design control, or notification requirements under ISO 13485 and FDA 21 CFR Part 820.\nManage vendor relationships for AI tools, including evaluation, contracts, MSAs, DPAs, renewals, and offboarding.\nManage acceptable use policy enforcement and exceptions handling.\nCoordinate cross functional response to AI incidents (data leakage, policy violations, public failures, regulatory inquiries), including stakeholder communication, post incident review, and corrective action tracking.\nLead AI audit readiness and serve as the primary point of contact for internal and external audit inquiries related to AI systems, governance, and policy compliance.\nServe as the primary liaison with KLS Germany on shared AI initiatives and information sharing across organizations.\nPartner with the AI Solutions Architect on technical feasibility, solution design, and delivery sequencing for approved use cases.\nJointly own with the AI Solutions Architect the graduation criteria for moving prototypes into supported production, ensuring both technical readiness and business readiness.\nServe as the translation layer between business stakeholders and the AI Solutions Architect, keeping technical work grounded in business value and stakeholder context.\nDefine adoption KPIs and ROI metrics for each initiative.\nTrack and report business value, productivity gains, and total cost (including AI vendor and API spend) to stakeholders.\nManage the AI program budget, including forecasting, tracking, and reporting on AI vendor spend, API and model usage costs, training and enablement spend, and platform infrastructure costs.\nPerform other related duties as assigned.\nEducation and Experience Requirements\nBachelor's degree in Business, Information Technology, Engineering, or a related field, or equivalent professional experience.\n7+ years of program or product management experience, with at least 2 years leading AI, data, or digital transformation programs.\nDemonstrated experience working within governance frameworks in a regulated industry (medical device, pharmaceutical, biotechnology, finance, or similar).\nStrong working knowledge of enterprise AI capabilities (generative AI, agents, retrieval augmented generation, classification, automation) sufficient to evaluate proposals and challenge vendors.\nProven ability to build relationships across IT, business units, legal, and compliance functions.\nExcellent written and verbal communication, including executive level briefing skills.\nDemonstrated experience managing program budgets, vendor contracts, and total cost reporting.\nFamiliarity with ISO 13485, FDA 21 CFR Part 820, and HIPAA preferred.\nPMP, PgMP, or equivalent program management certification preferred.\nBackground in formal change management methodologies preferred.\nFamiliarity with major AI providers (Anthropic, OpenAI, Microsoft, Google) and their enterprise offerings preferred.\nPrior experience supporting internal or external audits in a regulated environment preferred.\nFamiliarity with enterprise IT domains relevant to the role, including infrastructure, enterprise applications (ERP, HRIS, CRM, QMS), and cybersecurity preferred.\nKnowledge, Skills, and Abilities\nStrong written and verbal communication skills, with the ability to influence peers, senior stakeholders, and external vendors.\nAbility to develop and maintain collaborative relationships across IT, business units, Quality, Regulatory, Legal, HR, Information Security, and external partners.\nStrong understanding of enterprise AI capabilities, including generative AI, agents, retrieval augmented generation, classification, and automation, sufficient to evaluate proposals and partner effectively with technical teams.\nKnowledge of AI governance, risk, and ethics practices, including risk taxonomies, review processes, and acceptable use frameworks.\nKnowledge of program and project management methodologies including waterfall, agile, and hybrid approaches.\nAbility to translate regulatory and quality requirements into practical program controls and operational practices.\nAbility to establish, monitor, and report on adoption KPIs, business value metrics, and program budget performance.\nAbility to proactively identify program risks, dependencies, and policy gaps and recommend mitigations.\nStrong analytical and problem solving skills with the ability to think strategically and operationally.\nAbility to evaluate program trade offs, prioritization, and resource allocation with incomplete information.\nAbility to manage multiple competing priorities under pressure and shifting business demands.\nStrong leadership skills with demonstrated ability to influence stakeholders and drive alignment across competing priorities without formal authority.\nKnowledge of vendor management practices including evaluation, contract review, SLA governance, and performance evaluation.\nKnowledge of change management principles and adoption planning practices.\nStrong writing skills with the ability to develop policies, executive status reports, business cases, and program documentation.\nConfidence in making independent as well as collaborative decisions as required by the situation.\nAbility to work effectively in both onsite and remote environments as required by the business.","datePosted":"2026-07-18T17:51:51.949Z","dateModified":"2026-07-18T17:51:51.949Z","hiringOrganization":{"@type":"Organization","name":"Klsmartingroup","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jacksonville","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9a26d7c8b5d2becf3edfc7fa"},"url":"https://jobsearcher.com/jobs/9a26d7c8b5d2becf3edfc7fa"}}