About The Position

This leadership role is part of the Global Data, Insights & Analytics (GDIA) team within Enterprise Technology and supports the Finance organization. The role works closely with Finance, particularly the Finance Operational Excellence (FOX) team leading Finance modernization and transformation, while aligning with GDIA’s data strategy and governance frameworks. The position helps define and execute Finance’s data and AI strategy, builds and leads a high-performing team, and partners with the AI Advancement Center, Data Platform and Engineering teams, and ERP technology teams to establish the data infrastructure, governance, and AI capabilities needed to support Finance transformation. It calls for a strong technical leader with deep data science and AI expertise and a record of delivering measurable business impact.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • 10+ years of progressive experience in analytics, data science, or AI roles.
  • 6+ years of experience in a leadership role building and managing high-performing data, analytics, and AI teams.
  • Experience supporting corporate finance functions such as FP&A, Accounting, Tax, Audit, or Treasury.
  • Demonstrated expertise in statistical modeling, machine learning algorithms, and generative AI, including practical application to business problems.

Nice To Haves

  • Master’s degree or Ph.D. in a quantitative field.
  • Proficiency in programming languages commonly used in data science, such as Python, R, or SQL.
  • Experience with (gen)AI/ML Ops practices and tools for deploying and managing production (gen)AI/ML tools at scale.
  • Exceptional communication and storytelling skills, with the ability to translate complex technical concepts into business terms for diverse audiences.
  • Demonstrated ability to influence and collaborate effectively with senior leadership and cross-functional teams, particularly in a matrixed organization.

Responsibilities

  • Identify and prioritize Finance workflows that can be enhanced with data, analytics, and AI.
  • Champion democratized AI and analytics capabilities across the Finance organization.
  • Recruit, mentor, and develop a high-performing team of data scientists, AI engineers, product managers, and software engineers.
  • Foster a culture of innovation, collaboration, continuous learning, and accountability.
  • Provide technical and strategic guidance and ensure best practices in data quality and AI development.
  • Identify opportunities to use artificial intelligence to enhance Finance processes and workflows.
  • Lead the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping through deployment, monitoring, and continuous improvement.
  • Embed responsible AI practices, including fairness, transparency, and privacy, in AI initiatives.
  • Partner with the FOX team to enable its transformation strategy and execute its enterprise-level AI initiative.
  • Collaborate with GDIA’s AIAC and DPE teams and with ERP teams within the Corporate Staffs Technology teams.
  • Serve as the primary interface between Finance and the broader GDIA organization, ensuring alignment, sharing best practices, and leveraging enterprise-wide data assets and capabilities.
  • Establish KPIs and metrics to measure the effectiveness and business impact of Finance data, analytics, and AI initiatives.
  • Present technical data, analytics, and AI solutions clearly and compellingly to Finance executive leadership.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service