Overview
Skills
Job Details
Responsibilities:
Strategic AI Roadmap Development: Develop and maintain a strategic roadmap for AI adoption within DAS. Collaborate with DAS leadership and AIQ to align AI initiatives with business objectives, prioritize investments, and secure resources. This includes detailed financial modeling and ROI justification.
Future-Forward AI Trend Identification: Independently research and analyze emerging AI technologies and market trends, identifying opportunities to fundamentally reimagine DAS offerings in Financial Due Diligence, Accounting Advisory Services, Capital Advisory, and Strategy. Benchmark against leading technology firms like Google and Microsoft.
AI Solution Design & Deployment: Partner with DAS teams and AIQ to design, develop, test, and deploy innovative AI-powered solutions. This includes generating novel use cases, refining existing AI capabilities, and leading the technical aspects of project execution.
Stakeholder Education & Adoption: Educate DAS practitioners on AI applications and best practices, fostering adoption. This involves workshops, training materials, and ongoing support and mentorship.
Cross-functional Collaboration: Work collaboratively with AIQ, DMT, and Advisory Digital to leverage existing platforms, adhere to data governance standards, and disseminate best practices.
Qualifications:
Bachelor's Degree in Business Administration, Finance, Computer Science, Engineering, or a related field. Master's degree is preferred.
7+ years of experience in a leading technology firm (e.g., Google, Microsoft, etc.) or consulting firm with a demonstrated track record of successfully leading and delivering innovative AI projects.
Proven ability to identify and articulate transformative AI applications for business functions. Deep understanding of AI technologies, including Agents, LLMs, RPA, and machine learning.
Strong understanding of Deal Advisory offerings (e.g., FDD, AAS, Strategy, or Capital Advisory).
Exceptional analytical, problem-solving, and communication skills; ability to influence senior management and build strong relationships with stakeholders.
Proven project management experience (Agile preferred).
Deep knowledge of data governance and ethical considerations related to AI.