Asset Management Public-Business Intelligence-Shared-Dallas-Associate
On-site · Dallas, Texas, United States
Job Summary
Asset & Wealth Management roles at Goldman Sachs require engaging with stakeholders across Operations and Engineering to articulate needs, drive problem-solving, and influence solutions. The role involves designing and deploying automated data solutions, connecting upstream data sources to end-user platforms, and developing APIs to integrate with engineering efforts. Responsibilities include data analysis and risk reporting to enable data-driven decisions, monitoring and managing BI assets through their lifecycle, leading BI programs for diverse stakeholders, coaching embedded specialists to meet governance standards, and contributing to AI risk and governance frameworks. The candidate will apply AI tools and prompt engineering to optimize workflows, partner with Operations to identify business challenges, translate needs into practical AI-enabled solutions, design and test AI-assisted workflows, and collaborate with Engineering to ensure AI-enabled, low-code solutions align with architecture and governance standards. The role emphasizes responsible use of AI and ongoing governance improvements.
Required Qualifications
- Bachelor’s degree or equivalent in Science, Technology, Engineering or Mathematics / other relevant experience in consumer / financial / social / media tech companies in a role with a focus on data
- Experience in using business intelligence platforms (i.e. Alteryx, Tableau, Qlikview, Power BI, Server/Database maintenance, Aqua Data Studio)
- Developer skills including but not limited to: SQL, Python, R, Machine Learning and AI applications, Jira, Confluence
- Self motivated with the ability to act as an individual contributor and amongst the broader global BI team
- Familiarity with data and analytical tools such as SQL, Python, R, Jira, and Confluence in addition to problem solving, process improvement, and adoption of AI tooling
- Ability to develop cooperative and constructive working relationships with a strong sense of functional curiosity and passion for understanding the needs of the business
- Two (2) years of experience in Finance and/or Analytics
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