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Chief Transformation and AI Officer

Skills
AdoptionBusiness DevelopmentBusiness LeadershipCeosEmerging TechnologiesInvestment ManagementMarket Opportunities
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Proven experience building and leading multidisciplinary teams across product data science analytics engineering research and intelligence
  • Significant business leadership experience with ownership of a substantial P&L ideally $50 million or greater
  • Deep expertise in AI transformation analytics and emerging technologies with measurable commercial impact
  • Demonstrated success translating data assets and market insights into scalable products services and revenue-generating capabilities
  • Strategic vision with ability to anticipate market shifts and execute enterprise-wide roadmaps
  • Strong understanding of embedding AI and data-driven insights in advisory consulting communications or professional services
  • Proven ability to lead enterprise transformation initiatives and adopt AI-enabled tools and operating models
  • Strong executive advisory skills with ability to engage CEOs and senior leadership teams
  • Recognized market credibility and thought leadership in AI intelligence analytics product innovation and stakeholder insights
  • Entrepreneurial and collaborative leadership style with a track record of building high-performing teams

Nice to have

  • Visionary
  • Entrepreneurial
  • Collaborative
  • Market-facing
  • Thought leader
  • Strategic

Day to day

  • Lead Penta's Intelligence platform and define the vision strategy operating model talent and roadmap for platform product and intelligence teams
  • Drive the firm's AI transformation by identifying opportunities to improve client delivery operational effectiveness and create innovative products and services
  • Build scale and commercialize proprietary intelligence products platforms and methodologies that help clients anticipate risks understand stakeholders and shape outcomes
  • Embed data-driven insights across advisory services and act as a market-facing trusted advisor who translates complex data into actionable recommendations