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Strong Tier-1 brand and broad platform requirements, but seniority and niche domain limit general applicant volume.
Specialized asset-management data platform ownership and regulatory requirements make cross-industry transfers difficult.
Explicit 15+ years and mandated asset-management lakehouse platform experience make filters highly stringent.
Own and drive multi-year vision, strategy, and delivery of the enterprise Data Lakehouse platform as foundational infrastructure for data and AI initiatives.
Present platform strategy and investment needs to senior leadership, securing funding and organizational buy-in.
Lead cross-functional coordination including prioritization, compliance with governance, defining success metrics, and continuous platform modernization.
15+ years of relevant experience in product/platform leadership for data platforms, preferably in regulated financial services or asset management domain.
Experience owning data lakehouse or modern data platforms including build or scale from legacy environments.
Strong understanding of regulatory, risk, and audit requirements in financial services or asset management context.
University degree preferred; Physical work requirement: Sedentary work.
Proven ability to navigate competing priorities across multiple lines of business with rigorous strategic and commercial acumen.
Experience integrating AI/ML capabilities (e.g., SageMaker, Bedrock) into data platforms and anticipating industry technology shifts.
Comfortable operating at senior leadership level communicating strategy, ROI, and platform progress to executives and stakeholders.