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Tier-1 brand, metro location, and general Product Manager title increase candidate competition despite specialization.
Requires regulated-finance data governance and markets operations experience, though core Data/AI product skills remain transferable.
Explicit 10+ years, 3+ years leadership, plus mandated Data/AI and regulated-finance expertise create strict filters.
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Lead the design and delivery of Unity's operational data architecture, including reliable, auditable event-level lineage and process journey modeling for Corporate and Investment Bank Operations.
Own the strategy and implementation of AI models and automation workflows that measure automation performance, strengthen operational controls, and reduce risk at scale.
Develop trusted metric frameworks and insight capabilities converting operational data into foresight for identifying automation, risk, and efficiency opportunities across business lines.
10+ years in data engineering, data architecture, applied artificial intelligence, or machine learning.
3+ years leading data, analytics, AI, or machine learning teams, platforms, or large-scale initiatives.
Hands-on experience with cloud data platforms, especially AWS services such as Athena, Glue, Iceberg, and S3 or equivalents.
Strong expertise in SQL at scale, event-based data streaming, operational data design, AI/ML model delivery, and regulated environment data governance.
Experienced leader capable of translating complex AI and data concepts into scalable enterprise platforms within regulated financial services environments.
Operator with strong product management mindset focused on reusable modular data and AI capabilities, integrating with stakeholders across operations, technology, risk, and control functions.
Background in large-scale AI/ML model deployment including classification, NLP, and human-in-the-loop systems, with ability to build feedback loops for continuous model improvement.