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Asset & Wealth Management - Data Governance - Dallas-Associate

Goldman Sachs

Goldman Sachs

Accounting & Finance
Dallas, TX, USA
Posted on Thursday, June 6, 2024

Job Description

Asset & Wealth Management Engineering

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 Asset Management business delivers innovative investment solutions through a global, multi-product platform and is one of the pre-eminent investment management organizations globally. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design.

Who We Are

The Asset & Wealth Management Data Office is a group within AWM whose primary responsibilities are to ensure that the data used for business and reporting purposes is well understood and of the highest quality available, implement the Firm’s data governance policies, and expand and improve the strategic data architecture. We work with global stakeholders to provide transparency into where data enters the firm, how it is transformed/reported/classified, and what data quality controls exist for critical datasets. Our internal clients use this information to gain insights – aiming to eliminate duplication, improve data quality, respond faster to new business opportunities, and to meet regulatory requirements.

How You Will Fulfill Your Potential:

As a member of the team, you will gain satisfaction though adding value and contributing to the team’s initiatives. You will:

  • Develop communication and reference materials that enable data consumers and producers to improve data quality and implement the data governance policy
  • Provide guidance and training on how to plan implementation of requirements set forth by the policy
  • Work with data consumers and producers to negotiate ownership of data
  • Create lineage graphs to show how data moves from point of entry to where it is used
  • Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases
  • Build consensus across senior stakeholders
  • Communicate progress to senior stakeholders and within the team
  • Partner with stakeholders to define data quality analytics that enable data consumers and producers to drive remediation efforts and maintain quality
  • Partner with stakeholders to recommend, define and document appropriate data validation controls
  • Partner with stakeholders to test and monitor data quality controls
  • Partner with stakeholders to ensure data governance, data quality and data management tools meet end-user needs

You will have the potential to:

  • Grow your understanding of data and the underlying businesses that use it
  • Develop business, data analysis and relationship management skills
  • Contribute to progressing the data strategy at Goldman Sachs

Why join the team?

  • Interpersonal Communication: You’ll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs.
  • Autonomy: You’ll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm’s clients.
  • Creativity: You’ll be encouraged to suggest improvements to products and to propose ways, in which we can add value for our stakeholders.
  • Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility.

The Responsibilities and Requirements:

Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data. Ability to work in a collaborative manner with stakeholders and drive consensus is essential. Experience working with a business team to develop functional requirements and translating those into technical requirements is important. Having developed an effective training and testing strategy is helpful.


  • Play a central role in defining the strategic direction for Asset & Wealth Management in data initiatives
  • Document Data Lineage from source to reporting
  • Lead and participate in working groups to improve data quality and ease of access to information
  • Help promote the data governance framework and drive adoption across all of the division
  • Interface and coordinate with project team(s) to define objectives, develop approaches, create detailed schedules, provide status updates and prepare deliverables for projects
  • Partner with stakeholders to ensure user tools meet for analyzing data meet user’s needs
  • Stakeholder management /sponsors and users of all levels
  • Test and monitor data quality controls

Basic Requirements:

  • Bachelor’s degree
  • 2-5 years of relevant hands-on data governance, data quality, or data management experience
  • Sufficient knowledge and the ability to run queries and participate in data analysis
  • Proficiency in SQL, MS Excel, Data visualization tools, and Data Models
  • Highly organized with exceptional communication, negotiation and influencing skills
  • Relationship management: effectively partner with stakeholders with a focus on end-client value
  • Knowledge of data warehousing and the development of physical and logical models
  • Extremely proactive and works well in a collaborative environment
  • Exceptional attention to detail and analytical thinking
  • Ability to effectively communicate and present results highlighting the broader strategic impact

Preferred Qualifications:

  • Experience of data governance or data management
  • Prior experience in financial services industry
  • Advanced proficiency in SQL, MS Excel, Data visualization tools, and Data Models
  • May have a software engineering background (not required)


At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html©

The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity