Senior AI Consultant

LingaTech; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

LingaTech seeks a Senior AI Consultant to lead strategic AI adoption, governance, and operationalization across a large organization in the United States. You will partner with executives and tech teams to identify high-value AI use cases, build ROI models, and drive enterprise-wide AI adoption and governance.

You will translate complex AI capabilities into practical strategies, roadmaps, and measurable business outcomes, guiding change management and workforce enablement across the organization.

Qualifications

• Bachelor's degree in a related field and 7+ years in strategy/consulting.
• Proven ability to deliver ROI and value realization for tech investments.
• Deep understanding of AI governance, risk and compliance considerations.
• Experience translating strategy into actionable AI initiatives.
• Strong executive presence and workshop facilitation experience.

Responsibilities

• Lead enterprise AI strategies aligned with business goals and transformation priorities.
• Identify, evaluate, and prioritize high-value AI use cases with stakeholders.
• Develop strategic roadmaps for AI adoption, governance, and operating models.
• Translate AI opportunities and risks into actionable recommendations for executives.
• Create business cases, ROI models, and value realization frameworks for AI investments.
• Facilitate executive workshops to gather requirements and secure sponsorship.
• Collaborate with data science, security, legal, and governance teams to ensure scalability.
• Monitor AI market trends and advise on adoption, vendor selection, and modernization.

Skills

Strategy & consulting

Enterprise architecture

Digital transformation

Technology strategy

Executive communication

Stakeholder management

AI governance

Generative AI

Vendors evaluation

Change management

Roadmap development

ROI modeling

Executive workshops

Cross-functional collaboration

AI readiness assessments

Policy & compliance

Cloud & enterprise platforms

Education

Bachelor's degree in CS/IT/Business

MBA

AI strategy certification

Tools

Microsoft Copilot

Google Gemini Enterprise

Anthropic Claude

Amazon Bedrock

OpenAI technologies

AWS AI services

Agentic AI tools

Generative AI tech

Job description

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.