Lead Director – Finance Reporting, AI/ML Transformation

Stellenbeschreibung:

Responsibilities

  • Lead and mentor teams responsible for reporting modernization and AI/ML-enabled process transformation
  • Set strategic direction and execution standards for reporting, analytics, and automation initiatives
  • Develop and implement transformation strategies aligned with enterprise goals and business priorities
  • Ensure teams are appropriately skilled, trained, and enabled to deliver modern reporting and AI/ML solutions
  • Drive standardization, simplification, and automation of reporting processes across functions
  • Establish scalable reporting and analytics frameworks that improve transparency, speed, and decision quality
  • Partner with Finance and business stakeholders to define KPI frameworks and performance measurement models
  • Identify and deliver AI/ML use cases that improve efficiency, accuracy, and insight generation
  • Oversee multiple transformation initiatives and workstreams, balancing priorities and dependencies
  • Communicate progress, insights, and value delivered through reporting and AI/ML initiatives

Requirements

  • Minimum 10 years of hands‑on experience in data engineering
  • Minimum 4 years of relevant work experience within a large, complex organization
  • Minimum 1 year of experience delivering Generative AI applications into production
  • Strong understanding of reporting, analytics, and data‑driven decision‑making within Finance or enterprise functions
  • Familiarity with modern data platforms, reporting tools, and analytics ecosystems
  • Related Cloud certification (e.g. GCP, AWS, Azure)
  • Hands‑on experience on BigQuery and/or Databricks is highly preferred
  • Bachelor’s degree in Finance, Business Administration, Data Analytics, Information Technology, or related field; equivalent years of related professional work experience may substitute
  • Advanced degree or certifications in analytics, data science, or transformation disciplines preferred

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Stelleninformationen

  • Veröffentlichungsdatum:

    22 Jul 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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