Data Engineering Product Manager – AI-Driven Ops

Goldman Sachs Group, Inc.; Dallas (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

The Goldman Sachs Group, Inc. in Dallas, TX is seeking an Associate, Product Management to lead data engineering initiatives within Product Operations.

You will define roadmaps, scope deliverables, track milestones, and escalate risks while driving issue resolution with cross-functional teams. You will design and implement the Product Feature Request framework, OKRs, and milestone tracking to govern the product lifecycle for Data Engineering, including OSS code, ensuring transparency and

Qualifications

• Master’s degree in Computer Science, Information Systems Management or related field with 1 year of experience in product operations or a related role.
• Bachelor’s degree in Computer Science, Information Systems Management or related field with 3 years of experience in product operations or a related role.

Responsibilities

• Manage and execute projects and programs across multi-disciplinary Data Engineering initiatives within ProductOps.
• Define project roadmaps, scope deliverables, track milestones, identify risks, and drive resolution of actions.
• Design and maintain the Product Feature Request framework, OKRs, and milestone tracking for Data Engineering.
• Prepare progress reports and risk assessments for senior leadership and stakeholders.
• Apply AI-driven analytics and automation within product operations workflows and Jira backlog analysis.

Skills

SQL

Python

JQL

Tableau

Power BI

GitLab

Jira

Cloud platforms (AWS/Azure/GCP)

Data analysis

Project management

Stakeholder management

Agile SDLC

Education

Master’s degree in Computer Science or related field

Bachelor’s degree in Computer Science or related field

Tools

GitLab

Jira

Tableau

Power BI

SQL

Python

AWS

Azure

GCP

Job description

The Goldman Sachs Group, Inc. in Dallas, TX is seeking an Associate, Product Management to lead data engineering initiatives within Product Operations.

You will define roadmaps, scope deliverables, track milestones, and escalate risks while driving issue resolution with cross-functional teams. You will design and implement the Product Feature Request framework, OKRs, and milestone tracking to govern the product lifecycle for Data Engineering, including OSS code, ensuring transparency and