Wealth Tech Product Manager — Data-Driven Insights

Goldman Sachs; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Goldman Sachs is seeking a Product Manager to own the end-to-end data analytics lifecycle for wealth management digital products in the United States. You will design analytics, develop dashboards, and translate data insights into strategic product actions.

The role requires 2+ years of experience with web analytics, SQL/R/Python, and data visualization tools such as Tableau or Qlik. Strong communication and stakeholder engagement are essential for senior leadership collaboration.

Qualifications

• Bachelor's degree in a quantitative field such as Data Analytics, Business Analytics, Mathematics, Statistics, or related technical discipline.
• A minimum of 2 years hands-on experience analyzing diverse data elements, with a strong focus on online and mobile customer experiences.
• Exceptional problem-solving abilities and a robust foundation in data analysis, capable of delivering actionable insights and strategic recommendations that drive data-driven decisions.
• Demonstrated expertise with web analytics software (e.g., Adobe Analytics) and a solid understanding of tag implementation.
• Proficiency in designing, managing, manipulating, and analyzing large datasets from various databases using SQL, R, and/or Python.
• Proven track record in designing, developing, and implementing impactful data visualizations using tools like Tableau or Qlik to illuminate performance results.
• Outstanding communication skills, with the ability to articulate complex performance metrics and insights clearly and concisely to both senior executives and team members.
• Strong interpersonal skills, a genuine passion for engaging with clients, and a proven ability to cultivate lasting relationships.
• A self-starter mentality, thriving in an autonomous yet highly collaborative and dynamic environment.

Responsibilities

• Drive Insight: Architect and maintain sophisticated product analytics, dynamic dashboards, and compelling data visualizations using industry-leading tools like Adobe Analytics and Tableau, transforming raw data into actionable product insights.
• Uncover Opportunities: Conduct deep-dive data analysis to reveal critical trends, patterns, and consumer behaviors, translating these discoveries into strategic recommendations that fuel product innovation and accelerate business growth.
• Shape Data Strategy: Translate intricate business requirements into precise analytics specifications, ensuring flawless data capture and integrity across our suite of digital products.
• Forge Connections: Collaborate seamlessly with Product, Marketing, Technology, and other cross-functional teams to integrate diverse data sources, building a comprehensive 360-degree view of client interactions and journeys.
• Innovate & Evolve: Proactively manage the data platform product backlog, integrating emerging priorities and leveraging cutting-edge industry trends to champion continuous product innovation.
• Optimize & Govern: Critically analyze and optimize existing data systems, processes, and frameworks, playing a key role in shaping robust data governance policies and advancing our data maturity.
• Influence Decisions: Articulate complex data-driven insights and strategic recommendations with clarity and conviction to a wide range of stakeholders, including senior leadership, directly influencing critical business decisions.

Skills

Adobe Analytics

Tableau

SQL

Python

R

Data visualization

Communication

Stakeholder management

Education

Bachelor's degree in quantitative field

Tools

Tableau

Qlik

Job description

Goldman Sachs is seeking a Product Manager to own the end-to-end data analytics lifecycle for wealth management digital products in the United States. You will design analytics, develop dashboards, and translate data insights into strategic product actions.

The role requires 2+ years of experience with web analytics, SQL/R/Python, and data visualization tools such as Tableau or Qlik. Strong communication and stakeholder engagement are essential for senior leadership collaboration.