Note: The job is a remote job and is open to candidates in USA. LingaTech is seeking a Senior AI Consultant to lead the strategic adoption, governance, and operationalization of artificial intelligence initiatives across a large, complex organization. The role advises executive leadership, identifies and prioritizes AI opportunities, develops business cases and ROI models, establishes responsible AI governance, and drives enterprise-wide adoption and transformation. The consultant also supports AI-assisted application modernization, automation, cloud adoption, and legacy transformation initiatives.
Responsibilities
- 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
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
- 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
Company Overview