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Tier-1 brand and senior, desirable data role produce moderate applicant competition.
Finance-specific data governance and controls require domain knowledge, limiting cross-industry transferability.
Explicit 8+ years, finance context, mandatory data governance and AI/ML tooling make filters strict.
Lead development and implementation of scalable global finance data quality standards, validation rules, and measurement frameworks.
Manage data quality improvements by identifying root causes and partnering across Finance, Technology, and Data teams to strengthen controls and processes.
Apply AI/ML techniques to enhance finance data quality and readiness for AI and automation initiatives while influencing senior stakeholders on data priorities.
8+ years of relevant experience including hands-on data quality or data management, preferably in Finance context.
Bachelor’s degree or higher, preferably in mathematics, statistics, data science, Finance, or Accounting.
Proven expertise in data quality frameworks, validation, controls, metrics, remediation, and hands-on AI/ML experience with prototyping or deploying AI-powered solutions.
Experience with modern data tools (e.g., Snowflake, Python, Tableau, dbt); ability to work approximately 50% time from BCG office or client locations.
Experienced leader in implementing global data quality practices within complex, multi-regional Finance organizations.
Strong practical understanding of integrating AI/ML capabilities to solve data quality challenges and support emerging automation needs.
Skilled at influencing senior, cross-functional stakeholders and operating collaboratively with global Finance, Data, and Technology teams.