FinanceAI Senior Consultant

About the position

Join our Finance & Performance team to help unlock financial performance and enterprise value. We serve as trusted advisors to CFOs, COOs, CIOs, and other key executives, providing strategic advice, implementing solutions, and delivering as-a-service offerings. Our focus is on enhancing finance, shared services, and real estate operations, while supporting enterprise-wide decision-making.

Responsibilities

• Collaborating with clients to evaluate, pilot, and implement predictive and generative AI technologies and other advanced finance technology enablers.
• Utilizing advanced analytical techniques to diagnose issues and develop solutions.
• Conducting interviews with staff and clients to gather insights.
• Formulating and presenting actionable recommendations.
• Assisting in the delivery and deployment of AI-enabled solutions.

Requirements

• Over 3 years of relevant experience in consulting within a professional services environment or industry, focusing on architecting and deploying AI and other technical solutions.
• Ability to clearly explain complex AI concepts to both technical and non-technical stakeholders.
• Skilled in translating technical design into a clear, functional AI product roadmap, collaborating with cross-functional teams (e.g., data scientists, engineers, finance, and business stakeholders) to prioritize development features across multiple phases.
• Understanding of finance business processes, including FP&A, strategic finance, business unit finance, controllership (close & consolidations), tax, treasury, management and external reporting, and investor relations.
• Strong ability to architect generative AI solutions across the full technology stack, including infrastructure (e.g., Nvidia, AWS, GCP, Azure), model layer (e.g., GPT-4o, Claude, Llama), and application layer (e.g., ChatGPT, Claude, Gemini).
• Experience with product prototyping and design mock-ups using product management tools (e.g., Figma).
• Experience developing AI solutions (proofs of concepts and/or scaled solutions) that leverage generative AI to demonstrate value and secure stakeholder buy-in.
• Experience building systems (AI and non-AI) on cloud platforms (e.g., AWS, GCP, Azure) to optimize solutions and align with business needs.
• Bachelor's degree in a relevant field (e.g., Business, Computer Science, Data Science) from an accredited university.
• Ability to travel up to 50%, based on the work you do and the clients and industries/sectors you serve.

Nice-to-haves

• Bachelor's degree from a STEM-designated program; a master's degree is a plus.
• Accredited with AI or ML certifications (e.g., AWS, Google Data Analytics, Microsoft Azure).
• Experience identifying use cases where generative AI can add value, prioritizing based on AI value frameworks.
• Experience connecting applications or services using APIs.
• Knowledge of best practices in training, evaluating, and deploying generative AI responsibly and ethically.
• Experience in finance transformation, accounting, or related fields with familiarity in process improvement, ERP/EPM systems design and implementation, data management and analysis, and project management.
• Experience designing and developing proofs of concepts that leverage agentic AI for end-to-end process automation.
• Experience defining and measuring KPIs and metrics for generative and predictive AI projects to evaluate success and identify areas for improvement.
• Proficiency in creating comprehensive technical documentation and user manuals for AI solutions.
• Experience with pre-sales, proposals, and RFP activities.
• Strong oral and written communication skills, including presentation skills; professional competence in Microsoft Office suite (Word, Excel, PowerPoint, Outlook, Teams).
• Experience mentoring and coaching junior staff.

Benefits

• Discretionary annual incentive program based on individual and organizational performance.
• Broad range of employee benefits.