AI Senior Consultant

Trenton, NJ
Remote

Instant Apply

Today

Job Description

PSR Associates is a consulting and talent solutions firm that connects qualified IT professionals with great opportunities. Whether you're looking for a contract or permanent position, we can help you find the right fit for your skills and experience. We have a team of experienced recruiters who know the IT industry inside and out, and we work with you every step of the way to ensure a smooth and successful transition. PSR Connecting Talent, Crafting Success.

AI Senior Consultant Position Description

We are seeking an AI Senior Consultant to join our team. The selected candidate will work remotely from anywhere in the Lower-48 of the USA on an Eastern Time Zone schedule.

Job Description:
We are looking for an AI Senior Consultant to lead the strategic adoption, governance, and operationalization of artificial intelligence initiatives across a large, complex organization. The ideal candidate combines strong business acumen with a deep understanding of AI capabilities, emerging technologies, and digital transformation. This individual will identify high-impact AI opportunities, develop business cases and ROI models, establish governance frameworks, and guide enterprise-wide AI adoption. The AI Senior Consultant will serve as a trusted advisor to executive leadership, translating complex AI concepts into actionable business strategies while driving organizational change and measurable business outcomes. Reporting to executive technology leadership, this role will collaborate across business and technology organizations to advance responsible AI adoption, workforce enablement, modernization initiatives, and enterprise value realization. The role requires practical experience with a broad range of AI platforms, agentic AI capabilities, and enterprise AI solutions across a multi-vendor ecosystem, including cloud-native AI, generative AI, automation, and modernization technologies.

What You'll Do:

Lead the development and execution of enterprise AI strategies aligned with organizational goals, business priorities, and long-term digital transformation initiatives
Partner with executive leadership, business stakeholders, and technical teams to identify, evaluate, and prioritize AI use cases that deliver measurable business value, operational efficiency, and strategic advantage
Conduct AI readiness assessments and develop roadmaps supporting AI adoption, governance, operating model design, and implementation planning
Serve as a trusted advisor to executive leaders by translating complex AI concepts into practical business opportunities, risks, and investment recommendations
Develop business cases, cost-benefit analyses, ROI models, and value realization frameworks to support AI investment decisions and funding requests
Facilitate executive workshops, stakeholder sessions, and engagement activities to gather requirements, align priorities, define success metrics, and drive sponsorship
Collaborate with data science, engineering, architecture, security, legal, risk, and compliance teams to ensure AI solutions are scalable, practical, and aligned with enterprise standards
Support the maturation and continuous improvement of enterprise AI governance frameworks, operating models, and strategic roadmaps
Partner with governance, risk, and compliance stakeholders to implement AI governance requirements, risk management practices, transparency standards, accessibility requirements, and performance measurement frameworks
Ensure AI initiatives align with organizational policies, governance standards, vendor management processes, and technology review requirements
Collaborate with data governance stakeholders to strengthen AI readiness through improvements in data quality, stewardship, privacy, security, and information management
Monitor emerging AI technologies, market trends, and industry best practices to identify opportunities for innovation and competitive advantage
Lead organizational change management activities related to AI adoption, including executive communications, stakeholder education, and workforce enablement programs
Develop and oversee enterprise AI literacy, awareness, and training initiatives to support responsible AI usage and workforce readiness
Create and measure AI adoption, literacy, and workforce enablement metrics to support long-term AI maturity growth
Evaluate AI vendors, platforms, and solutions while supporting build-versus-buy decision making
Measure and communicate business outcomes, KPIs, and value realization associated with AI initiatives
Partner with business divisions and program offices to identify opportunities for AI-enabled services, analytics, workforce insights, customer experiences, and operational improvements
Serve as a liaison between business stakeholders, program leadership, technology teams, and external partners to ensure AI investments align with operational priorities and strategic objectives
Support enterprise application modernization initiatives through the adoption of AI-assisted development, assessment, migration, and transformation capabilities
Identify opportunities to leverage AI-assisted modernization technologies to accelerate code analysis, migration planning, software assessment, and modernization execution
Collaborate with technology stakeholders to advance application modernization, legacy transformation, automation, and cloud adoption strategies while maintaining operational stability and business continuity

What You'll Need:
Required:

Bachelor s degree in Computer Science, Information Technology, Business, or a related discipline
7+ years of experience in strategy, management consulting, enterprise architecture, digital transformation, or related business leadership
7+ years of demonstrated success aligning emerging technologies with business objectives and delivering measurable business outcomes and ROI
7+ years of experience developing business cases, financial analyses, value realization frameworks, and ROI models for technology investments
2+ years of experience leading AI, data analytics, intelligent automation, or enterprise transformation initiatives
Strong business acumen and the ability to engage effectively with executive leadership, C-suite stakeholders, and business unit leaders
Deep understanding of AI and machine learning capabilities, limitations, market trends, and enterprise applications
Strong facilitation, presentation, communication, and stakeholder management skills, including experience leading executive-level workshops and discussions
Experience driving organizational change management and technology adoption initiatives
Knowledge of AI governance, responsible AI principles, risk management, compliance considerations, and enterprise operating models
Ability to bridge business and technical teams and translate strategic objectives into actionable AI initiatives
Experience conducting AI readiness assessments, organizational maturity evaluations, and strategic roadmap development
Experience evaluating AI vendors, platforms, and technology solutions as part of enterprise transformation efforts
Demonstrated hands-on experience with enterprise AI platforms, agentic AI tools, and generative AI technologies within a multi-vendor ecosystem
Experience with enterprise AI solutions such as Microsoft Copilot, Google Gemini Enterprise, Anthropic Claude, Amazon Bedrock, OpenAI technologies, AWS AI services, or comparable platforms
Practical experience utilizing agentic AI tools to increase productivity, automate workflows, support knowledge workers, accelerate software delivery, or enhance business operations
Executive education or certification in AI strategy (e.g., MIT Sloan, Kellogg, or similar)

Preferred:

MBA, MS in Business Analytics, or equivalent professional experience
Experience leading or supporting AI strategy, governance, digital transformation, or modernization initiatives within government, public-sector, healthcare, financial services, or other highly regulated environments
Experience collaborating with executive leadership, enterprise IT organizations, and business stakeholders within large, complex organizations
Experience supporting large-scale application modernization programs, cloud migration initiatives, legacy transformation efforts, or AI-assisted software modernization programs
Knowledge of generative AI, large language models, intelligent agents, automation platforms, and emerging AI technologies
Experience developing executive training, leadership workshops, and organizational enablement programs supporting AI adoption
Strong analytical and problem-solving skills with the ability to balance innovation, risk, and business value
Experience establishing AI governance metrics, KPIs, adoption measurements, and value-tracking mechanisms
Familiarity with AWS, Microsoft Azure, Google Cloud Platform, or other enterprise cloud ecosystems

Physical Demands:

Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards
Sedentary work that involves sitting or remaining stationery most of the time with occasional need to move around the office to attend meetings, etc.
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor

*** Please note that any false information on your resume or application could lead to the offer being withdrawn or even termination after hire.***

Numbers & Facts

Location

Trenton, NJ (

Remote)

Skills

Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Programming Languagesunmatched
Automationunmatched
Best Practicesunmatched
Business Administrationunmatched
Business Analysisunmatched
Business Caseunmatched
Business Operationsunmatched
Business Skillsunmatched
Business Strategyunmatched
Change Managementunmatched
Cloud Computingunmatched
Computer Scienceunmatched
Consultingunmatched
Continuous Improvementunmatched
Cost Benefit Analysisunmatched
Customer Experienceunmatched
Customer/Client Researchunmatched
Data Analysisunmatched
Data Qualityunmatched
Data Scienceunmatched
Ecosystemsunmatched
Emerging Technologyunmatched
Enterprise Applicationsunmatched
Enterprise Architectureunmatched
Establish Prioritiesunmatched
Financial Analysisunmatched
Financial Servicesunmatched
Governmentunmatched
Healthcareunmatched
Information Technology & Information Systemsunmatched
Investment Fundsunmatched
Keyboardsunmatched
Leadershipunmatched
Legalunmatched
Literacyunmatched
Machine Learningunmatched
Management Consultingunmatched
Market Trend Analysisunmatched
Metricsunmatched
Microsoft Product Familyunmatched
Microsoft Windows Azureunmatched
Modeling Languagesunmatched
Operational Improvementunmatched
Operational Strategyunmatched
Performance Metricsunmatched
Privacy Controlsunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Productivity Managementunmatched
Quality Managementunmatched
Requirements Managementunmatched
Return on Investment (ROI)unmatched
Riskunmatched
Risk Managementunmatched
Security Architectureunmatched
Software Administrationunmatched
Software Agentsunmatched
Stewardshipunmatched
System Migrationunmatched
Technical Leadershipunmatched
Use Casesunmatched
Value Analysisunmatched
Vendor/Supplier Evaluationunmatched
Vendor/Supplier Managementunmatched
Work From Homeunmatched

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