Senior AI Consultant

We are seeking a Senior AI Consultant to lead the strategic adoption, governance, and operationalization of artificial intelligence initiatives across a large, complex organization. This role will partner with executive leadership, business stakeholders, and technology teams to identify high-value AI opportunities, develop business cases and ROI models, establish responsible AI governance, and drive enterprise-wide adoption.

The ideal candidate combines strong business and consulting expertise with a deep understanding of AI, generative AI, agentic AI, automation, cloud technologies, and digital transformation. The Senior AI Consultant will serve as a trusted advisor to executive leadership, translating complex AI capabilities into practical strategies, measurable business outcomes, and actionable transformation roadmaps.

Duties

• Lead the development and execution of enterprise AI strategies aligned with organizational goals and digital transformation priorities.
• Partner with executive leadership, business stakeholders, and technical teams to identify, evaluate, and prioritize high-value AI use cases.
• Conduct AI readiness assessments and develop strategic roadmaps for AI adoption, governance, operating models, and implementation.
• Translate complex AI concepts, opportunities, risks, and investment considerations into actionable recommendations for executive leadership.
• Develop business cases, cost-benefit analyses, ROI models, and value realization frameworks for AI and technology investments.
• Facilitate executive workshops and stakeholder sessions to gather requirements, align priorities, establish success metrics, and build organizational sponsorship.
• Collaborate with data science, engineering, architecture, security, legal, risk, compliance, and data governance teams to ensure AI initiatives are scalable and aligned with enterprise standards.
• Support the development and continuous improvement of AI governance frameworks, operating models, risk management practices, and strategic roadmaps.
• Help ensure AI initiatives comply with organizational policies, governance standards, vendor management processes, privacy requirements, and technology review processes.
• Monitor emerging AI technologies, market trends, and industry best practices to identify opportunities for innovation and business improvement.
• Lead change management, executive communications, stakeholder education, workforce enablement, and AI adoption initiatives.
• Develop and measure AI literacy, adoption, workforce enablement, KPI, and value realization metrics.
• Evaluate AI vendors, platforms, and solutions and support build-versus-buy decisions.
• Measure and communicate business outcomes and value realization associated with AI initiatives.
• Identify opportunities to apply AI to analytics, workforce insights, customer experiences, business services, automation, and operational processes.
• Serve as a liaison between business stakeholders, program leadership, technology teams, and external partners.
• Support application modernization initiatives through AI-assisted development, assessment, migration, and transformation capabilities.
• Identify opportunities to use AI-assisted modernization tools for code analysis, migration planning, software assessment, and modernization execution.
• Collaborate with technology teams on legacy transformation, automation, cloud adoption, and application modernization strategies while maintaining business continuity.

Required Skills

• 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, technology strategy, 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, ROI models, and value realization frameworks for technology investments.
• 2+ years of experience leading AI, data analytics, intelligent automation, or enterprise transformation initiatives.
• Strong business acumen with the ability to engage effectively with executive leadership, C-suite stakeholders, and business unit leaders.
• Deep understanding of AI and machine learning capabilities, limitations, enterprise applications, and emerging market trends.
• Strong facilitation, presentation, communication, and stakeholder management skills, including executive-level workshop experience.
• 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 enterprise technology solutions.
• Demonstrated hands-on experience with enterprise AI platforms, agentic AI tools, and generative AI technologies within a multi-vendor environment.
• 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 using agentic AI tools to improve productivity, automate workflows, support knowledge workers, accelerate software delivery, or enhance business operations.
• Executive education or certification in AI strategy from an established program or comparable professional experience.

Preferred Skills

• MBA, MS in Business Analytics, or equivalent professional experience.
• Experience supporting AI strategy, governance, digital transformation, or modernization initiatives in government, public-sector, healthcare, financial services, or other highly regulated environments.
• Experience working with executive leadership, enterprise IT organizations, and business stakeholders within large, complex organizations.
• Experience supporting large-scale application modernization, cloud migration, legacy transformation, 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, AI literacy programs, and organizational enablement initiatives.
• 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.