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Tier-1 brand and metro location increase applicant density but role is specialized.
Strong investment-research and market-data platform requirements limit cross-industry transferability.
Explicit 15+ years, 5+ years leadership, and niche platform skills make filtering highly strict.
Own the strategic roadmap and execution of a unified, cloud-native investment research platform across all asset classes.
Lead AI integration in research workflows to enhance productivity, insights, and investment outcomes, including Generative AI and advanced analytics.
Architect and deliver scalable, secure data and analytics platforms while leading engineering teams and global transformation programs.
15+ years in software, data, or platform engineering with 5+ years in engineering leadership and large-scale delivery.
Strong expertise in Databricks, data warehousing, ETL/ELT, data modeling, lakehouse architectures, and distributed data processing.
Proficient in Python (preferred), Apache Spark/PySpark, SQL, Unix/Shell scripting, and experience with cloud providers like AWS.
Proven track record in architecting enterprise-scale data platforms and executing at least two large modernization or transformation projects.
Experienced in investment research workflows and data platforms with familiarity of market data providers like Bloomberg, FactSet, S&P Global, MSCI, etc.
Demonstrated ability to lead cross-functional teams including business, research, vendor, and technology partners at a global scale.
Strategic operator with skills in cloud-native platform architecture, AI enablement, and delivering measurable business outcomes in asset management technology.