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HomeCompanies05027ACF42B26FF3DD70CE4664A18E9FMarketing, Data Analytics & AI - Full-Time, Tenure-Track Assistant Professor

Marketing, Data Analytics & AI - Full-Time, Tenure-Track Assistant Professor

05027ACF42B26FF3DD70CE4664A18E9F · Edmond, OK 73034; 100 N University Dr, Edmond, OK, 73034, USA · Hybrid · Active · Paycom ATS

Job facts

FieldValue
Company05027ACF42B26FF3DD70CE4664A18E9F
TitleMarketing, Data Analytics & AI - Full-Time, Tenure-Track Assistant Professor
Normalized title-
Department / teamOTRS Classified
LocationEdmond, OK, United States
Work modelHybrid / Hybrid
Employment type-
Salary-
Statusactive
ATS providerPaycom ATS
Posted / first seen2025-11-17 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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Linked records

Company05027ACF42B26FF3DD70CE4664A18E9F
Source720ebb4e-ccba-49c6-93d8-be24a80cef86
ATS providerPaycom ATS

Description

Description Position Summary: The College of Business at the University of Central Oklahoma (UCO), an AACSB-accredited institution, invites applications for a full-time, tenure-track Assistant Professor of Marketing with expertise in Data Analytics and Artificial Intelligence (AI) to begin in August 2026. We are particularly interested in candidates whose background (teaching, research, or professional) demonstrates the integration of data-driven decision-making and emerging technologies like AI applications in Marketing. The ideal candidate will demonstrate a strong commitment to teaching excellence, maintain an active research agenda consistent with AACSB scholarly academic (SA) qualifications, and contribute to the service mission of the department, college, and university. Experience in applying analytics and AI tools to solve marketing challenges is strongly valued. Department Overview: The Department of Marketing fosters transformative, applied learning experiences across undergraduate and graduate programs. The department offers majors and minors in Marketing, Professional Selling, and related areas, while supporting UCO’s MBA and MSBA programs. Faculty collaborate with industry partners to provide students with exposure to real-world analytics projects, AI-driven tools, and experiential learning opportunities. The department also supports student organizations, competitions, and professional development programs that prepare graduates to lead in a data-driven business world. Essential Responsibilities: Teach undergraduate and/or graduate courses in Marketing Analytics, AI in Marketing, and related courses, using face-to-face, hybrid, and asynchronous online formats. Maintain an active research agenda that advances knowledge in data analytics, AI in marketing, meeting AACSB SA standards. Contribute to curriculum development by integrating emerging technologies, analytics software, and AI applications into marketing education. Mentor students in academic and professional development, including data-driven projects, case competitions, and applied research opportunities. Engage in service activities at the department, college, university, and professional levels. Collaborate with faculty across disciplines (e.g., MIS, Business Analytics in the ISOM Department) to develop integrated learning experiences. Lead experiential learning initiatives such as live client projects, AI-driven simulations, or case competitions. The standard teaching load is four courses per semester, with opportunities for course load reductions through competitive research reassignment. Required Qualifications: A Ph.D. in Marketing, Business Analytics, or a closely related field, from an AACSB-accredited institution. ABD candidates with a scheduled dissertation defense date prior to the employment start date will be considered. Demonstrated ability to meet AACSB Scholarly Academic (SA) qualifications and evidence of teaching effectiveness. Preferred Qualifications: Teaching, research, or industry experience in Marketing Analytics, AI in marketing, or related emerging technologies. Familiarity with analytics platforms (e.g., Python, R, SQL, Tableau, Power BI, or AI-enabled marketing tools). Active engagement with industry partnerships, professional organizations, or applied research collaborations. Physical Demands: Reasonable accommodations (in accordance with ADA requirements) may be made, upon request, to enable individuals with disabilities to perform essential functions.

Full job record

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Org ID5c0e0570-1c7e-441e-a794-fc63a1007f66
Source ID720ebb4e-ccba-49c6-93d8-be24a80cef86
Board ID720ebb4e-ccba-49c6-93d8-be24a80cef86
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TitleMarketing, Data Analytics & AI - Full-Time, Tenure-Track Assistant Professor
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Statusactive
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Location TextEdmond, OK 73034; 100 N University Dr, Edmond, OK, 73034, USA
DepartmentOTRS Classified
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CountryUnited States
RegionOK
CityEdmond
Salary RawDescription Position Summary: The College of Business at the University of Central Oklahoma (UCO), an AACSB-accredited institution, invites applications for a full-time, tenure-track Assistant Professor of Marketing with expertise in Data Analytics and Artificial Intelligence (AI) to begin in August 2026. We are particularly interested in candidates whose background (teaching, research, or professional) demonstrates the integration of data-driven decision-making and emerging technologies like AI applications in Marketing. The ideal candidate will demonstrate a strong commitment to teaching excellence, maintain an active research agenda consistent with AACSB scholarly academic (SA) qualifications, and contribute to the service mission of the department, college, and university. Experience in applying analytics and AI tools to solve marketing challenges is strongly valued. Department Overview: The Department of Marketing fosters transformative, applied learning experiences across undergraduate and graduate programs. The department offers majors and minors in Marketing, Professional Selling, and related areas, while supporting UCO’s MBA and MSBA programs. Faculty collaborate with industry partners to provide students with exposure to real-world analytics projects, AI-driven tools, and experiential learning opportunities. The department also supports student organizations, competitions, and professional development programs that prepare graduates to lead in a data-driven business world. Essential Responsibilities: Teach undergraduate and/or graduate courses in Marketing Analytics, AI in Marketing, and related courses, using face-to-face, hybrid, and asynchronous online formats. Maintain an active research agenda that advances knowledge in data analytics, AI in marketing, meeting AACSB SA standards. Contribute to curriculum development by integrating emerging technologies, analytics software, and AI applications into marketing education. Mentor students in academic and professional development, including data-driven projects, case competitions, and applied research opportunities. Engage in service activities at the department, college, university, and professional levels. Collaborate with faculty across disciplines (e.g., MIS, Business Analytics in the ISOM Department) to develop integrated learning experiences. Lead experiential learning initiatives such as live client projects, AI-driven simulations, or case competitions. The standard teaching load is four courses per semester, with opportunities for course load reductions through competitive research reassignment. Required Qualifications: A Ph.D. in Marketing, Business Analytics, or a closely related field, from an AACSB-accredited institution. ABD candidates with a scheduled dissertation defense date prior to the employment start date will be considered. Demonstrated ability to meet AACSB Scholarly Academic (SA) qualifications and evidence of teaching effectiveness. Preferred Qualifications: Teaching, research, or industry experience in Marketing Analytics, AI in marketing, or related emerging technologies. Familiarity with analytics platforms (e.g., Python, R, SQL, Tableau, Power BI, or AI-enabled marketing tools). Active engagement with industry partnerships, professional organizations, or applied research collaborations. Physical Demands: Reasonable accommodations (in accordance with ADA requirements) may be made, upon request, to enable individuals with disabilities to perform essential functions.
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Last Seen At2026-06-06 09:54:40Z
Last Checked At2026-06-06 09:54:40Z
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    "description": "<div>\r\n<p style=\"margin-bottom:11px\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"display:block;font-size:14px;\"><span style=\"line-height:115%\"><b>Position Summary:</b></span></span></span></p>\r\n\r\n<p style=\"margin-bottom:11px\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"display:block;font-size:14px;\"><span style=\"line-height:115%\">The College of Business at the University of Central Oklahoma (UCO), an AACSB-accredited institution, invites applications for a full-time, tenure-track Assistant Professor of Marketing with expertise in Data Analytics and Artificial Intelligence (AI) to begin in August 2026. 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The department also supports student organizations, competitions, and professional development programs that prepare graduates to lead in a data-driven business world.</span></span></span></p>\r\n\r\n<div align=\"center\" style=\"text-align:center; margin-bottom:11px\">&nbsp;</div>\r\n\r\n<p style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\"><b>Essential Responsibilities:</b></span></span></span></p>\r\n\r\n<ul style=\"margin-bottom:11px\">\r\n\t<li style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\">Teach undergraduate and/or graduate courses in Marketing Analytics, AI in Marketing, and related courses, using face-to-face, hybrid, and asynchronous online formats.</span></span></span></li>\r\n\t<li style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\">Maintain an active research agenda that advances knowledge in data analytics, AI in marketing, meeting AACSB SA standards.</span></span></span></li>\r\n\t<li style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\">Contribute to curriculum development by integrating emerging technologies, analytics software, and AI applications into marketing education.</span></span></span></li>\r\n\t<li style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\">Mentor students in academic and professional development, including data-driven projects, case competitions, and applied research opportunities.</span></span></span></li>\r\n\t<li style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\">Engage in service activities at the department, college, university, and professional levels.</span></span></span></li>\r\n\t<li style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"background:white\"><span style=\"line-height:normal\"><span style=\"color:black\">Collaborate with faculty across disciplines (e.g., MIS, Business Analytics in the ISOM Department) to develop integrated learning experiences.</span></span></span></span></span></li>\r\n\t<li style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"background:white\"><span style=\"line-height:normal\"><span style=\"color:black\">Lead experiential learning initiatives such as live client projects, AI-driven simulations, or case competitions.</span></span></span></span></span></li>\r\n</ul>\r\n\r\n<p style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\">The standard teaching load is four courses per semester, with opportunities for course load reductions through competitive research reassignment.</span></span></span></p>\r\n\r\n<div align=\"center\" style=\"text-align:center; margin-bottom:11px\">&nbsp;</div>\r\n\r\n<p style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\"><b>Required Qualifications:</b></span></span></span></p>\r\n\r\n<ul style=\"margin-bottom:11px\">\r\n\t<li style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\">A Ph.D. in Marketing, Business Analytics, or a closely related field, from an AACSB-accredited institution.</span></span></span></li>\r\n\t<li style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\">ABD candidates with a scheduled dissertation defense date prior to the employment start date will be considered.</span></span></span></li>\r\n\t<li style=\"margin-bottom:11px\"><span style=\"display:block;font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\">Demonstrated ability to meet AACSB Scholarly Academic (SA) qualifications and evidence of teaching effectiveness.</span></span></span></li>\r\n</ul>\r\n\r\n<div align=\"center\" style=\"text-align:center; 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We are particularly interested in candidates whose background (teaching, research, or professional) demonstrates the integration of data-driven decision-making and emerging technologies like AI applications in Marketing.\\r\\n\\r\\nThe ideal candidate will demonstrate a strong commitment to teaching excellence, maintain an active research agenda consistent with AACSB scholarly academic (SA) qualifications, and contribute to the service mission of the department, college, and university. Experience in applying analytics and AI tools to solve marketing challenges is strongly valued.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nDepartment Overview:\\r\\n\\r\\nThe Department of Marketing fosters transformative, applied learning experiences across undergraduate and graduate programs. The department offers majors and minors in Marketing, Professional Selling, and related areas, while supporting UCO&rsquo;s MBA and MSBA programs. Faculty collaborate with industry partners to provide students with exposure to real-world analytics projects, AI-driven tools, and experiential learning opportunities. The department also supports student organizations, competitions, and professional development programs that prepare graduates to lead in a data-driven business world.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nEssential Responsibilities:\\r\\n\\r\\n\\r\\n\\tTeach undergraduate and/or graduate courses in Marketing Analytics, AI in Marketing, and related courses, using face-to-face, hybrid, and asynchronous online formats.\\r\\n\\tMaintain an active research agenda that advances knowledge in data analytics, AI in marketing, meeting AACSB SA standards.\\r\\n\\tContribute to curriculum development by integrating emerging technologies, analytics software, and AI applications into marketing education.\\r\\n\\tMentor students in academic and professional development, including data-driven projects, case competitions, and applied research opportunities.\\r\\n\\tEngage in service activities at the department, college, university, and professional levels.\\r\\n\\tCollaborate with faculty across disciplines (e.g., MIS, Business Analytics in the ISOM Department) to develop integrated learning experiences.\\r\\n\\tLead experiential learning initiatives such as live client projects, AI-driven simulations, or case competitions.\\r\\n\\r\\n\\r\\nThe standard teaching load is four courses per semester, with opportunities for course load reductions through competitive research reassignment.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nRequired Qualifications:\\r\\n\\r\\n\\r\\n\\tA Ph.D. in Marketing, Business Analytics, or a closely related field, from an AACSB-accredited institution.\\r\\n\\tABD candidates with a scheduled dissertation defense date prior to the employment start date will be considered.\\r\\n\\tDemonstrated ability to meet AACSB Scholarly Academic (SA) qualifications and evidence of teaching effectiveness.\\r\\n\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nPreferred Qualifications:\\r\\n\\r\\n\\r\\n\\tTeaching, research, or industry experience in Marketing Analytics, AI in marketing, or related emerging technologies.\\r\\n\\tFamiliarity with analytics platforms (e.g., Python, R, SQL, Tableau, Power BI, or AI-enabled marketing tools).\\r\\n\\tActive engagement with industry partnerships, professional organizations, or applied research collaborations.\\r\\n\\r\\n\\r\\n\\r\\n\\r\\nPhysical Demands:&nbsp;\\r\\n\\r\\nReasonable accommodations (in accordance with ADA requirements) may be made, upon request, to enable individuals with disabilities to perform essential functions.\\r\\n\\r\\n\",\"employmentType\":\"OTHER\",\"hiringOrganization\":{\"@type\":\"Organization\",\"name\":\"University of Central Oklahoma\",\"logo\":\"https://www.paycomonline.net/v4/ats/web.php/application/style/logo?clientkey=05027ACF42B26FF3DD70CE4664A18E9F\"},\"jobLocation\":{\"@type\":\"Place\",\"address\":{\"streetAddress\":\"100 N University Dr\",\"addressLocality\":\"Edmond\",\"addressRegion\":\"OK\",\"postalCode\":73034,\"addressCountry\":\"USA\"}},\"industry\":\"OTRS Classified\",\"validThrough\":\"-0001-11-30\"}",
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