Goldman Sachs Asset & Wealth Management - Data Governance -New York-Vice President 

United States, New York, New York 

941443584

Asset & Wealth Management Engineering

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.

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.

Responsibilities:

• 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