Financeai Senior Consultant

Senior Consultant role focused on architecting, piloting, and implementing generative AI solutions within the finance function for enterprise clients. Requires experience across the AI technology stack, understanding of finance business processes, and ability to translate technical designs into product roadmaps.

What you'd actually do

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

Skills

Required

  • Experience: 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.
  • Communication Skills: Ability to clearly explain complex AI concepts to both technical and non-technical stakeholders.
  • Product Development: 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.
  • Finance Knowledge: 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.
  • Technical Expertise: 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).
  • Design Skills: Experience with product prototyping and design mock-ups using product management tools (e.g., Figma).
  • AI Solutions Development: Experience developing AI solutions (proofs of concepts and/or scaled solutions) that leverage generative AI to demonstrate value and secure stakeholder buy-in.
  • Cloud Platforms: 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.

Nice to have

  • 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 concept 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 suit

What the JD emphasized

  • architecting and deploying AI and other technical solutions
  • architect generative AI solutions across the full technology stack
  • developing AI solutions (proofs of concept and/or scaled solutions)

Other signals

  • architecting and deploying AI and other technical solutions
  • architect generative AI solutions across the full technology stack
  • developing AI solutions (proofs of concept and/or scaled solutions)