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AI Finance - Senior Manager - Tech Consulting - Location Open
AI Finance - Senior Manager - Tech Consulting - Location OpenEY • Hoboken, NJ, United States
AI Finance - Senior Manager - Tech Consulting - Location Open

AI Finance - Senior Manager - Tech Consulting - Location Open

EY • Hoboken, NJ, United States
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  • [job_card.full_time]
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AI Finance - Senior Manager - Tech Consulting

EY invites you to join as an AI Finance Senior Manager in Tech Consulting, overseeing finance applications data strategy and helping clients harness AI, machine learning, and Azure data technologies to empower finance decision‑making.

Role Overview

The AI Finance Senior Manager is responsible for supporting the Finance Applications Data Lead in executing an enterprise data management strategy. You will develop the “FDL consulting blueprint”, design data models for finance applications, and manage cross‑functional teams to deliver scalable, secure, and high‑quality analytics solutions.

Your Key Responsibilities

  • Lead the design and delivery of system architecture solutions and technical platform customizations.
  • Tailor technology platforms to business processes, ensuring maximum investment value through continuous improvement.
  • Manage complex processes, solutions, and projects with a focus on quality, risk, and client outcomes.
  • Collaborate with data scientists, finance team members, and client stakeholders to apply Machine Learning and Gen AI to finance applications.
  • Define data requirements, architecture, and models for finance applications and maintain a robust data governance framework.
  • Develop and maintain documentation (data dictionaries, entity‑relationship diagrams, data lineage maps).
  • Lead the development of an extensible common information model for FDL Blueprint and oversee its implementation.
  • Support the execution of the overall data management strategy for finance applications.
  • Travel as required to meet client needs and manage on‑site engagements.

Skills and Attributes for Success

  • Proven ability to deliver complex technology solutions on time and within budget.
  • Strong client relationship management and communication skills.
  • Experience in managing and motivating diverse engagement teams.
  • Expertise in data governance, architecture, and analytics for finance.
  • Knowledge of Machine Learning, Gen AI, and Azure platform capabilities.
  • Excellent written and oral communication; strong analytical and problem‑solving skills.
  • Capacity to travel for client engagements.

    • Qualifications

  • Bachelor’s degree in Finance, Accounting, Business, Computer Science, or related field.
  • Minimum seven years of progressive experience in Financial Planning & Analysis (FP&A) or related roles.
  • Strong proficiency with Enterprise Performance Management platforms (Anaplan, Oracle EPM Cloud, OneStream, etc.).
  • Solid understanding of financial data architecture, governance, and master data management.
  • Experience with financial modeling, scenario analysis, variance analysis, and reporting.
  • Demonstrated ability to collaborate cross‑functionally and lead teams.
  • Strong business acumen, commercial awareness, and relationship management.
  • Willingness to travel.

    • Desired Background

  • Advanced degrees or certifications in finance, business analytics, or information systems.
  • Experience leading technology consulting engagements focused on finance transformation.
  • Familiarity with AI, generative AI, and advanced analytics implementations.
  • Leadership experience in diverse, high‑performing teams.

    • What We Look For

    Top performers who blend technical expertise with strategic business acumen. Candidates should be adaptive, proactive, and committed to delivering innovative technology solutions that drive business results.

    What We Offer

  • Competitive base salary ranging from $171,600 to $392,100, with additional benefits and performance bonuses.
  • Comprehensive health, dental, and vision benefits; 401(k) with match; paid time off and holiday policies.
  • Hybrid work model : 40–60% in‑office with flexibility across client locations.
  • Upskilling opportunities in AI, data science, and leadership development.
  • Inclusive culture that encourages collaboration, mentorship, and innovation.

    • Equal Employment Opportunity

    EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, veteran status, disability, or any other legally protected basis. EY is committed to providing reasonable accommodation for qualified individuals with disabilities.

    Open Locations

    Positions are available across multiple U.S. locations – Chicago, Boston, Los Angeles, New York, Phoenix, Seattle, and others. Specific locations will be discussed during the hiring process.

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