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Strong Tier-1 brand plus broad platform requirements but seniority reduces applicant density to medium.
Role requires asset-management, regulatory, and platform leadership experience, limiting cross-industry transferability.
Mandatory 15+ years, asset-management domain and lakehouse platform leadership create strict screening.
Own the multi-year vision, strategy, and roadmap for the enterprise Data Lakehouse as foundational infrastructure for data and AI initiatives.
Lead a team of product owners across platform and engineering; negotiate and prioritize competing platform needs across multiple business units.
Present platform strategy, investment cases, and progress to senior leadership; ensure alignment with enterprise architecture and regulatory compliance.
15+ years of professional experience.
Extensive experience in financial services or asset management with understanding of regulatory, risk, and audit contexts.
Proven experience in building or scaling a data lakehouse or modern data platform in a complex, regulated environment.
University degree preferred.
Seasoned leader transitioning from technical/engineering background into product/platform leadership with strategic and execution focus.
Experience managing cross-functional teams and navigating competing priorities across multiple business lines.
Familiarity with AI/ML platform integration, FinOps practices, and platform governance in regulated asset management settings.