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Asset & Wealth Management - Engineering Strategy & Operations , COO Team - Associate - Richardson

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: Goldman Sachs Group, Inc.
Full Time position
Listed on 2025-12-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 120000 USD Yearly USD 80000.00 120000.00 YEAR
Job Description & How to Apply Below

Asset & Wealth Management - Engineering Strategy & Operations , COO Team - Associate - Richardson Job Description

WEALTH MANAGEMENT

Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor‑led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra‑high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our direct‑to‑consumer business provides digital solutions that better help customers save.

Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading‑edge technology, data and design.

MARCUS BY GOLDMAN SACHS

The firm's direct‑to‑consumer business, Marcus by Goldman Sachs, combines the entrepreneurial spirit of a start‑up with more than 150 years of experience. Today, we serve millions of customers across multiple products, leveraging innovative design, data, engineering and other core capabilities to provide customers with powerful tools and products that are grounded in value, transparency and simplicity.

What We Do

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.

Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our technology division and global strategists groups, is at the critical centre of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

This critical leadership role will be instrumental in optimizing the performance, efficiency, and productivity of our engineering and technology operations. The Technology COO will drive strategic initiatives to enhance overall technological output, ensure disciplined financial management of resources and productivity, and champion data‑driven decision‑making to align technology efforts directly with business value. This role requires an individual with a strong grip on metrics, exceptional visualization capabilities, and proven experience in capacity planning and vendor cost management.

Key Responsibilities:

  • Strategic Oversight & Performance Management
    • Develop and implement operational strategies, policies, and procedures to significantly enhance productivity, performance, and efficiency across all technology teams.
    • Establish and monitor key performance indicators (KPIs) and benchmarks for engineering performance, including DORA metrics (Deployment Frequency, Change Lead Time, Change Failure Percentage, Failed Deployment Recovery Time), cycle time, and quality of deliverables, to assess operational health and identify areas for improvement.
    • Drive a culture of continuous improvement, leveraging data and insights to streamline workflows and optimise engineering processes.
  • Business Intelligence & Data‑Driven Decision Making
    • Lead the adoption and application of business intelligence tools and practices within technology operations to provide real‑time, actionable insights into engineering performance, resource utilisation, and project status.
    • Develop robust reporting and visualisation frameworks that translate complex technical metrics into clear, concise, and impactful information for senior leadership and business stakeholders, enabling informed strategic decisions.
    • Utilise AI and advanced analytics to identify trends, predict potential issues, and drive proactive optimisations across technology functions.
  • Resource & Capacity Planning
    • Oversee comprehensive capacity planning initiatives to anticipate…
Position Requirements
10+ Years work experience
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