Jesse Baines
Years of post-secondary education
Industrial-Organizational Psychology professional with 10+ years of applied experience in program evaluation, workforce analytics, organizational development, and leadership assessment across large-scale Department of War environments. Advanced expertise in research design, psychometric methodology, statistical analysis, and human capital strategy. Demonstrated success designing and implementing evidence-based talent management programs, competency models, and assessment instruments that drove efficiency improvements and optimized performance across multi-thousand-person organizations. Earned Doctorate in I/O Psychology with dissertation research examining the impact of Generative AI and workplace readiness on job satisfaction across generational cohorts. Combines rigorous quantitative research skills with practical experience translating complex data into actionable organizational insights for senior leadership. CITI-certified human research professional with active clearance.
Work History
AI Solutions Consultant
3 Years 9 Months- Designed and delivered AI readiness assessment frameworks for organizations, measuring workforce adaptation potential and developing targeted intervention strategies
- Trained business owners on Generative AI integration strategies, achieving productivity improvements through evidence-based change management approaches
- Conducted organizational needs assessments and developed competency models for AI-driven workplace transformation
- Created data-driven performance measurement frameworks tracking adoption rates, satisfaction scores, and efficiency gains across AI implementations
- Applied I/O psychology principles to design technology adoption programs that reduced resistance to change.
Sr. Program Manager & Organizational Psychologist
5 Years 1 Month- Applied I/O psychology principles to drive enterprise-level workforce optimization, leadership development, and organizational transformation across multi-thousand-person DoW organizations.
- Led comprehensive organizational assessment across continents, applying job analysis and competency-based evaluation methodologies to identify performance gaps
- Conducted business impact assessments across critical business areas, identifying essential resources and establishing measurable recovery metrics for restructured processes
- Developed evidence-based workforce planning recommendations that secured $1.3M in additional funding through data-driven strategic analysis
- Designed and implemented performance measurement systems achieving efficiency improvements across organizational operations
- Applied psychometric principles to evaluate and restructure HR systems, providing insights and recommendations to senior leadership
- Resolved $7.2M accounts receivable backlog through stakeholder engagement, negotiation, and cross-cultural communication with coalition partners from multiple countries
Program Strategy Analyst & Workforce Dev. Lead
5 Years 7 Months- Provided programmatic guidance for $144M Space Program and $605K Defense Program, conducting performance evaluations and workforce readiness assessments
- Developed OPLAN workforce readiness briefs and competency assessments for more than 3000 personnel across multinational coalition operations
- Applied test theory and psychometric methodology to evaluate personnel assessment instruments supporting career development and selection processes
- Created custom dashboards and analytical reporting frameworks saving 22+ hours monthly, translating complex data into actionable insights for leadership
- Managed multi-country human capital coordination globally in a hostile environment
- Coordinated deployment logistics and personnel assessment for individuals and mission-critical assets
Education
Doctorate - Industrial-Organizational Psychology
- Dissertation: "The Impact of Artificial Intelligence and Workplace Readiness on Job Satisfaction among Young (19–34), Early Middle-aged (35–49), and Late Middle-aged Adults (50–65): An Empirical Exploration in I/O Psychology"
Master of Arts - Psychology
Bachelor of Science - Psychology
Associate - Business Administration
Skills
Certification
- CompTIA Security+, CompTIA, Earned September 2026
- CompTIA Linux+, CompTIA, In Progress (Expected October 2026)
- Human Research Certification, CITI Program, 2027-08-01
- Certified Business Continuity Professional (CBCP), DRI International, 2027-04-01
- Professional Manager Certification, Community College of the Air Force
Affiliations
- American Psychological Association (APA)
- Society for Industrial and Organizational Psychology (SIOP)
- National Society of Leadership & Success
- Certified Business Continuity Professional
Research Interests
- Impact of AI integration on workplace satisfaction across generational cohorts
- Psychological factors in technology adaptation and workplace readiness
- Development of assessment tools to measure AI readiness and adaptation potential
- Organizational strategies for supporting multi-generational workforces during technological transformation
- Cross-generational mentoring and knowledge transfer in technology-driven workplaces
- Psychological safety in workplaces undergoing AI transformation
- Business continuity and organizational resilience through technology transition
Dissertation Research
The Impact of Artificial Intelligence Acceptance on Job Satisfaction among Young (19–34 Years), Early Middle-Aged (35–49 Years), and Late Middle-Aged Adults (50–65 Years): An Empirical Exploration in I/O Psychology. Completed and Published, Capella University, June 2026 (PhD in Psychology). Predictive, correlational study using hierarchical multiple linear regression, grounded in the Technology Acceptance Model (TAM) and person–environment fit theory, with a sample of 201 employed U.S. adults who actively use AI at work. Examined whether perceived usefulness, perceived ease of use, and age group explained variance in job satisfaction. Findings: the model explained 10.5% of the variance in job satisfaction; early and late middle-aged adults reported lower job satisfaction than young adults, a pattern that held across robustness checks. Contributes documentation of measurement and multicollinearity problems in TAM-based research on broad affective outcomes, and establishes chronological age group as a small but reliable predictor of job satisfaction in AI-integrated work.