Senior AI Strategy & Governance Lead — Remote

DEW Softech, Inc

Trenton (NJ)

Remote

USD 120,000 - 190,000

Part time

5 days ago
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Job summary

DEW Softech, Inc. Senior AI Consultant is sought to lead adoption, governance, and operationalization of AI across a large organization. Translate strategic objectives into actionable AI initiatives and drive enterprise-wide AI maturity.

Responsibilities include developing business cases, ROI models, establishing governance, guiding cross-functional teams, and partnering with executive leadership to deliver measurable value while ensuring responsible AI practices.

Qualifications

  • Bachelor’s degree in CS, IT, Business or related field.
  • 7+ years in strategy, management consulting, enterprise architecture, digital transformation.
  • 7+ years aligning emerging technologies with business objectives and ROI.
  • 2+ years leading AI, data analytics, or enterprise transformation initiatives.
  • Strong business acumen and executive communication skills.

Responsibilities

  • Lead enterprise AI strategy aligned with goals and digital transformation.
  • Identify AI use cases delivering measurable value and ROI.
  • Develop business cases, ROI models, and value realization frameworks.
  • Establish AI governance frameworks and operating models.
  • Collaborate with data science, security, legal, and compliance teams.

Skills

Executive presence
AI governance
ROI modelling
Stakeholder management
Change management
Enterprise AI platforms
Agentic AI tools
Generative AI technologies

Education

Bachelor’s degree in Computer Science, Information Technology, Business

Tools

Microsoft Copilot
Google Gemini Enterprise
Anthropic Claude
Amazon Bedrock
OpenAI technologies
AWS AI services

Job description

DEW Softech, Inc. Senior AI Consultant is sought to lead adoption, governance, and operationalization of AI across a large organization. Translate strategic objectives into actionable AI initiatives and drive enterprise-wide AI maturity.

Responsibilities include developing business cases, ROI models, establishing governance, guiding cross-functional teams, and partnering with executive leadership to deliver measurable value while ensuring responsible AI practices.

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