Tech PM - Asset & Wealth Mgmt (Associate)

Goldman Sachs

New York (NY)

On-site

USD 110,000 - 160,000

Full time

14 days+

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Job summary

Goldman Sachs in New York, NY is seeking a Technical Project Manager-Associate to lead high-risk, complex technology initiatives across multiple divisions within Asset & Wealth Management. You will guide projects from initiation through delivery, align business requirements with technical solutions, and manage stakeholder expectations.

The role requires strong SDLC expertise, SQL/NoSQL querying skills, and experience in Agile ceremonies and coaching.

Qualifications

Must have two (2) years of experience (if Master’s) or five (5) years of experience (if Bachelor’s) in the job offered or in a related position.
SDLC including business analysis, design, modeling, UAT testing and support.
Ability to write queries in relational and NoSQL databases.
Using JIRA, Confluence, and SharePoint toolsets.
Running scrums and working with Agile methodology across various facets of the project.
Communicating complex technical concepts in a simple manner to various stakeholders.
Working in the financial services industry, with focus on Sales, Shareholder Services and Liquidity Portal within Asset Management.

Responsibilities

Manage high-risk, complex technology projects from initiation to implementation across multiple divisions using effective planning, project governance, communication, and risk management strategies.
Perform detailed business and technology impact analysis; develop and execute test plans spanning across multiple systems and business lines.
Form strong partnerships with global business counterparts to solicit business requirements and implement strategic technology solutions and ensure continuous delivery of product features
Business requirements writing using Confluence, Coordinating and tracking all projects for seamless releases using Project Management tools such as JIRA, Source Code Management System SVN and Document Management System SharePoint
Manage Mosaic Portal product delivery streams between business stakeholders and actual developers which includes data analysis and translating business requirements to technical requirements
Proactively evaluate emerging Artificial Intelligence (AI) and machine learning tools to redesign existing processes, reduce cycle times, and maximize operational efficiency.