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The Manager drives early‑stage innovation, assesses feasibility, develops prototypes, and transitions validated concepts into enterprise deployment pathways. Coordinate with Strategy & Ops and Clinical Data teams to ensure smooth transition of validated prototypes.

Job Description SummaryThe Manager of the AI Incubation Team leads MUSC’s rapid experimentation and prototype development function. This role enables departments with novel AI concepts to receive technical support they cannot execute alone due to resource, skill, or infrastructure limitations. The Manager drives early‑stage innovation, assesses feasibility, develops prototypes, and transitions validated concepts into enterprise deployment pathways.EntityUniversity Medical Associates (UMA) Only Employees and FinancialsWorker TypeEmployeeWorker Sub-Type​ClassifiedCost CenterCC005532 EVPAA - Center for Artificial IntelligencePay Rate TypeSalaryPay GradeHealth-35Scheduled Weekly Hours40Work ShiftJob DescriptionPrimary Areas of Responsibility (with % Allocation)1. Concept Intake, Evaluation & Prioritization – 30%<ul><li>Evaluate AI ideas for enterprise value, feasibility, and alignment to MUSC priority areas.</li><li>Build a multi‑criteria prioritization process for incubation candidates.</li><li>Serve as the key decision‑maker for scoping and defining novel concepts.</li></ul>2. Incubation Team Leadership – 25%<ul><li>Manage a team of Jr. Data Scientists and ML Engineers.</li><li>Ensure balanced allocation across multiple incubation projects.</li><li>Foster an innovative, experimentation‑friendly environment.</li></ul>3. Prototype Development & Technical Oversight – 25%<ul><li>Oversee feasibility testing, rapid prototyping, data assessment, and validation.</li><li>Ensure prototypes are developed using responsible, ethical, and compliant AI practices.</li><li>Document technical frameworks and readiness criteria for downstream teams.</li></ul>4. Transition to Deployment & Stakeholder Integration – 15%<ul><li>Coordinate with Strategy & Ops and Clinical Data teams to ensure smooth transition of validated prototypes.</li><li>Prepare design packets, implementation recommendations, and risk notes for deployment teams.</li></ul>5. Innovation Leadership & Enterprise Impact – 5%<ul><li>Maintain a pipeline of emerging AI opportunities across clinical, research, operational, and academic domains.</li><li>Serve as the Center’s innovation engine to push the boundaries of applied healthcare AI.</li><li>Seek to patent, and implement novel concepts into active execution and royalty streams for MUSC.</li></ul>Key Annual Performance Objectives<ul><li>Deliver 2–3 validated AI innovations annually (deployed, validated, or patentable).</li><li>Increase MUSC’s internal capacity for early‑stage AI exploration.</li><li>Reduce barriers preventing departments from pursuing high‑impact AI ideas.</li></ul>Additional Job DescriptionRequired Qualifications<ul><li>Education: Master’s degree required; PhD preferred.</li><li>Experience: 3–5 years of relevant experience with leadership exposure in AI, ML, data science, research engineering, or innovation environments.</li><li>Technical Capability: Hands‑on experience supporting AI projects, prototyping, data analysis, or early‑stage concept development.</li><li>Leadership: Demonstrated ability to lead technical contributors (data scientists, ML engineers).</li><li>Innovation Skillset: Experience in rapid experimentation, feasibility analysis, or proof‑of‑concept development strongly preferred.</li></ul>If you like working with energetic enthusiastic individuals, you will enjoy your career with us!The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: <a href="http://www.uscis.gov/e-verify/employees" rel="nofollow noopener noreferrer" target="_blank">http://www.uscis.gov/e-verify/employees</a>

MUSC

Manager - AI Incubation Team - MUSCP

Artificial Intelligence (AI)

Clinical Data

Clinical Research

Data Analysis

Data Quality

Data Science

Establish Priorities

Feasibility Analysis

Federal Laws and Regulations

Healthcare

Leadership

Multitasking

Operations Research

Patents

Prototyping

Rapid Prototyping

Risk

Royalties

Sales Pipeline

Scientific Research

State Laws and Regulations

Team Lead/Manager

Technical Leadership

Technical Support

Technical Writing

Testing

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The ideal candidate will have a proven track record designing and implementing successful data and Artificial Intelligence/Machine Learning (AI/ML) solutions, is a strategic thinker with a strong technical background, has exceptional communication, problem-solving skills, with a mindset of continuous learning and curiosity leading to tangible results. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes.

42372BR Requisition ID: 42372BR Business Unit: COR Job Description: CDM Smith is seeking a Lead Data and AI Architect to join our Digital Engineering Solutions team. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes. The Data Technology group will lead the firm in AEC-focused Business Intelligence and data services by providing architectural guidance, technological vision, and solution development. The Data Technology group will specifically utilize advanced analytics, data science, and AI/ML to give our business and our products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting & engineering data for self-serve BI and BA opportunities. This position is for a person who has demonstrated excellence in data architecture capabilities, experienced with data technology and processes, and enjoys framing a problem, shaping and creating solutions, and helping to lead and champion implementation. As a member of the Digital Engineering Solutions team, the Data Technology group will also engage in research and development and provide guidance and oversight to the AEC practices at CDM Smith, engaging in new product research, testing, and the incubation of data technology-related ideas that arise from around the company. The ideal candidate will have a proven track record designing and implementing successful data and Artificial Intelligence/Machine Learning (AI/ML) solutions, is a strategic thinker with a strong technical background, has exceptional communication, problem-solving skills, with a mindset of continuous learning and curiosity leading to tangible results. Under the direction of the Data Technology Leader, the duties and responsibilities for this position include: • Develop and design the architecture for various data and AI solutions, ensuring each solution is scalable, secure, and reliable. • Engage with our business units to understand their requirements and translate them into technical requirements and designs. • Create data and AI architectural solutions to complex architecture, engineering, and environmental science problems. • Design and implement strategies to scale data and AI solutions across different business units. • Create detailed architecture and technical design docs for our data and AI solutions. • Assist with initiatives and efforts, as part of a collaborative team, with your data scientists, data engineers, data analysts, and stakeholders. • Eagerness to learn and work as part of a multidisciplinary team across a global practice. • Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. • Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. • Present to external audiences as needed. • Assist with marketing, communications, and business development descriptions and activities as needed. • Assist with internal and external website descriptions as needed. • Perform other duties as required. #LI-LP1 #LI-REMOTE Job Title: Lead Data & AI Architect Group: COR Employment Type: Regular Minimum Qualifications: • Bachelor’s degree. • 8 years of related experience. • Equivalent additional directly related experience will be considered in lieu of a degree. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands. EEO Statement: We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. CDM Smith is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, pregnancy related conditions, childbirth and related medical conditions, sexual orientation, gender identity or gender expression), national origin, age, marital status, disability, veteran status, citizenship status, genetic information or any other characteristic protected by applicable law. Why CDM Smith?: Check out this video and find out why our team loves to work here! (https://www.cdmsmith.com/en/Video/Meet-CDM-Smith) Join Us! CDM Smith – where amazing career journeys unfold. Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it’s a priority that the company takes good care of you and your family. Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world. Job Site Location: United States - Nationwide Agency Disclaimer: All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Amount of Travel Required: 0% Assignment Category: Fulltime-Regular Visa Sponsorship Available: No - We will not support sponsorship, i.e. H-1B or TN Visas for this position Skills and Abilities: • Advanced understanding and experience with all functions of the data management lifecycle including data governance, data architecture, data integration, metadata management, data development, data quality management, data administration, security & operations, data stewardship and master data management. • Strong knowledge and experience with Microsoft Azure cloud services and Databricks. • Understands the principles of the Azure well-architected framework and can apply those principles to our Data and AI solution. • Expert knowledge and proven ability to develop highly complex data and AI architectures. Inquisitive, with a desire to ask questions and get a deeper understanding of business and data challenges. • Excellent written and oral communication skills with the ability to communicate well with people from both technical and non-technical backgrounds. Ability to listen, build rapport, and credibility as a strategic and diplomatic partner with our business units. • Innovative and able to apply critical thinking skills to generate new solutions/ideas that create value and improve processes. • Detail oriented with the ability to assist with executing highly complex or specialized projects. Background Check and Drug Testing Information: CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Pay Range Minimum: $121,368 Pay Range Maximum: $212,368 Additional Compensation: All bonuses at CDM Smith are discretionary and may or may not apply to this position. Work Location Options: Fully Remote or Hybrid Work Options may be considered for successful candidate. Additional Pay Range Information: The pay range for this position is listed above. This pay range is a good faith estimate representative of all experience levels for this position based on the geographic location assigned to the position. Please note that pay ranges vary based on geographic location. In addition to geographic location, the company considers several other factors when extending an offer including but not limited to the role, function and associated responsibilities, the candidate’s work experience, education/training and key skills. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

CDM Smith

Lead Data & AI Architect

The Associate Director partners with the CAIO, Executive Director of the Center for AI, MUSC Communications, and senior leadership to craft unified messaging, coordinate AI educational events, manage public‑facing content, elevate MUSC’s AI visibility, and support executive‑level communication needs. Required Experience: 5+ years in communications, academic affairs, healthcare marketing, strategic communications, or related roles, including leadership experience and managing complex outward‑facing programs.

Job Description SummaryThe Associate Director of Outreach leads the enterprise and community education and communication strategy for the MUSC AI Center for Health Innovation and Informatics. This role ensures broad awareness of MUSC’s AI advancements, builds a strong and compelling narrative around MUSC’s mission‑aligned AI successes, and positions MUSC as a national leader in applied healthcare AI. The Associate Director partners with the CAIO, Executive Director of the Center for AI, MUSC Communications, and senior leadership to craft unified messaging, coordinate AI educational events, manage public‑facing content, elevate MUSC’s AI visibility, and support executive‑level communication needs.EntityUniversity Medical Associates (UMA) Only Employees and FinancialsWorker TypeEmployeeWorker Sub-Type​ClassifiedCost CenterCC005532 EVPAA - Center for Artificial IntelligencePay Rate TypeSalaryPay GradeHealth-32Scheduled Weekly Hours40Work ShiftJob DescriptionPrimary Areas of Responsibility (with % Allocation)1. Enterprise AI Communications & Messaging Strategy – 40%<ul><li>Develop and maintain a cohesive communication strategy highlighting MUSC AI achievements, milestones, and innovations.</li><li>Build branded messaging set by the CAIO and Executive Director to communicate emerging AI work across Clinical, Research, Operational, and Educational domains.</li><li>Lead coordination with MUSC Communications to produce multimedia content, social campaigns, academic outreach, and public engagement.</li><li>Manage messaging frameworks that elevate MUSC’s role as a national leader in applied healthcare AI.</li></ul>2. Executive Communication & Reporting – 25%<ul><li>Produce quarterly Executive/President Council briefs outlining accomplishments, ROI, team progress, and enterprise impact.</li><li>Support leadership with science writing, digital content, and communication collateral for presentations and external events.</li><li>Provide narrative development for high‑visibility communications across MUSC.</li></ul>3. Internal Engagement & AI Awareness/Education Programs – 20%<ul><li>Build communication pathways to keep internal teams, clinical partners, researchers, and IT leadership informed about AI progress and opportunities.</li><li>Support engagement activities that highlight success stories, project wins, and best practices.</li><li>Coordinate educational workshops, tutorials, programs, retreats, and events</li><li>Maintain a portfolio of project highlights, case studies, and technical summaries.</li></ul>4. External Relations, Events & Thought Leadership – 15%<ul><li>Promote MUSC at conferences, symposia, and community events.</li><li>Manage outward‑facing content that attracts collaborations, partnerships, and recognition for MUSC’s AI leadership.</li><li>Support fundraising or donor engagement efforts in partnership with the Development Office.</li></ul>Key Annual Performance Objectives<ul><li>Deliver high‑quality quarterly executive briefs with measurable ROI impacts.</li><li>Increase enterprise engagement and awareness of AI Center for AI work.</li><li>Produce consistent and high‑impact outreach content across channels.</li><li>Improve MUSC’s AI visibility in academic, clinical, and community settings.</li></ul>Additional Job DescriptionRequired Education: Bachelors Degree in Marketing or CommunicationsRequired Experience: 5+ years in communications, academic affairs, healthcare marketing, strategic communications, or related roles, including leadership experience and managing complex outward‑facing programs.Required Leadership Experience: Demonstrated experience leading communication strategy, stakeholder engagement, or organizational outreach at scale.Required Domain Familiarity: Experience collaborating with technical teams, scientific communications, or research/healthcare environments strongly preferred.If you like working with energetic enthusiastic individuals, you will enjoy your career with us!The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: <a href="http://www.uscis.gov/e-verify/employees" rel="nofollow noopener noreferrer" target="_blank">http://www.uscis.gov/e-verify/employees</a>

Associate Director - Education and Outreach - MUSC AI Center for Health Innovation and Informatics

Academic Affairs

Best Practices

Campaigns

Content Development

Event Management

Fundraising

Health Informatics

Marketing Communications

Marketing Strategy

Multimedia

Public/Media/Press/Analyst Relations

Return on Investment (ROI)

Thought Leadership

Training/Teaching

Unified Messaging

This includes ongoing maintenance, fine‑tuning, and version management; rigorous evaluation of new AI vendors within a zero‑trust sandbox environment; and the productionization of novel AI solutions produced by AI Incubation partners and selected by senior leadership for enterprise‑wide scaling. The Manager collaborates closely with clinical, operational, IS, and research stakeholders to identify high‑value opportunities, translate needs into actionable AI solutions, and drive successful adoption and integration across MUSC.Entity.

Job Description SummaryThe Manager of AI Strategy & Operations oversees a multidisciplinary team responsible for the full lifecycle of MUSC’s AI solutions whether built internally or acquired externally. This includes ongoing maintenance, fine‑tuning, and version management; rigorous evaluation of new AI vendors within a zero‑trust sandbox environment; and the productionization of novel AI solutions produced by AI Incubation partners and selected by senior leadership for enterprise‑wide scaling. This leader ensures that AI initiatives generate measurable efficiency gains, alleviate operational bottlenecks, and deliver strong ROI. The Manager collaborates closely with clinical, operational, IS, and research stakeholders to identify high‑value opportunities, translate needs into actionable AI solutions, and drive successful adoption and integration across MUSC.EntityUniversity Medical Associates (UMA) Only Employees and FinancialsWorker TypeEmployeeWorker Sub-Type​ClassifiedCost CenterCC005532 EVPAA - Center for Artificial IntelligencePay Rate TypeSalaryPay GradeHealth-35Scheduled Weekly Hours40Work ShiftJob DescriptionPrimary Areas of Responsibility (with % Allocation)1. AI Opportunity Discovery & Operational Strategy – 35%<ul><li>Identify operational workflows poised for AI‑driven efficiency gains or cost savings.</li><li>Lead discovery workshops and needs assessments with departments across MUSC.</li><li>Build opportunity maps, prioritize initiatives, and align with enterprise strategic goals.</li><li>Develop cadenced maintenance, and AI Fine-Tuning, Bias testing, Audit, etc.</li><li>Identify existing AI Solutions primed for enhancement, build a pipeline visible to senior officers base targeted workflows based on impact index to enterprise.</li></ul>2. Team Leadership & Workforce Development – 25%<ul><li>Lead a team of Jr. Data Scientists, ML Engineers, and a Jr. Architect.</li><li>Provide mentorship, performance management, and resource planning.</li><li>Develop skill‑building programs and promote a collaborative AI culture.</li></ul>3. Solution Development & Deployment Support – 20%<ul><li>Oversee scaling of AI prototypes and solutions into enterprise environments</li><li>Guide production readiness planning and ensure operational requirements are met.</li><li>Ensure compliance with AI governance, quality standards, and risk controls.</li><li>Process document, and orient pre-assessment deployment evaluations for senior leadership review</li></ul>4. ROI Measurement & Executive Reporting – 10%<ul><li>Document and quantify financial and operational ROI from AI implementations measure as indirect or direct returns in revenue.</li><li>Track performance metrics and present outcomes to senior leadership at quarterly and annual cadence.</li></ul>5. Partner Engagement & Thought Leadership – 10%<ul><li>Advise departmental leaders on AI feasibility, adoption readiness, and workflow fit provide professional assessments to partners of build vs. buy.</li><li>Serve as an institutional subject matter expert for applied operational AI showcase examples of intentional design, and successful implementations to encourage further AI application.</li><li>Eliminate barriers and advocate for streamlined AI integration.</li></ul>Additional Job DescriptionRequired Qualifications<ul><li>Education: Master’s degree required; PhD preferred.</li><li>Experience: 3–5 years of relevant experience with leadership exposure in data science, AI, analytics, operational improvement, or technical program management.</li><li>Technical Capability: Experience collaborating with data scientists, ML engineers, or technical teams; familiarity with applied AI/ML preferred.</li><li>Leadership: Demonstrated ability to supervise teams and manage cross‑functional projects.</li><li>Operational Expertise: Proven experience partnering with operational or clinical leaders to identify efficiency improvements or workflow enhancements.</li></ul>If you like working with energetic enthusiastic individuals, you will enjoy your career with us!The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: <a href="http://www.uscis.gov/e-verify/employees" rel="nofollow noopener noreferrer" target="_blank">http://www.uscis.gov/e-verify/employees</a>

Manager - AI Strategy & Operations - MUSCP

Cadence

Cost Control

Cross-Functional

Financial Operations

Maintain Compliance

Mentoring

Needs Assessment

Operational Audit

Operational Improvement

Operational Strategy

Operations Planning

Performance Analysis

Performance Management

Performance Metrics

Production Planning

Project/Program Management

Quality Metrics

Risk Management

Team Player

Vendor/Supplier Evaluation

Vendor/Supplier Selection

Workflow Analysis

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Manager - AI Incubation Team - MUSCPMUSC

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Manager - AI Strategy & Operations - MUSCPMUSC

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