Bain's Private Equity Group (PEG) needs to define how it manages and leverages its data, build an enterprise data strategy, and enable advanced analytics and AI/ML capabilities to drive impact at scale.
Requirements
10+ years in data engineering or data architecture leadership.
Deep expertise in data governance, modeling, and quality frameworks.
Proven track record building and scaling cloud-native data platforms.
Experience enabling analytics and AI/ML (MLOps, feature stores, pipelines).
Responsibilities
Define Bain’s enterprise data strategy, governance, and platform vision.
Lead the build-out of cloud-native data ecosystems (lakehouse, data mesh, streaming).
Ensure data quality, compliance, and security across global operations.
Enable advanced analytics and AI/ML integration through scalable data platforms.
Lead Bain’s enterprise data architecture, ensuring our data is well-structured, governed, and powering analytics and AI initiatives.
Set the firm’s data vision and partner with senior stakeholders to turn strategy into reality.
Other
Strong ability to influence C-level stakeholders with clear communication.
Communicate the data strategy clearly to executives and cross-functional teams.
Experience in high-growth tech or PE-backed companies.
Familiarity with building data products that support client-facing platforms.
Thought leadership in data strategy/architecture communities.
