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
- Provide data quality analytics that enable data consumers and producers to drive remediation efforts
- 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
- Define and create appropriate data validation controls
- Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases
- Build consensus across senior stakeholders
- Partner closely with stakeholders to define and evolve firmwide data governance strategy
- Communicate progress to senior stakeholders and within the team
- Test and monitor data quality controls
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
Basic Requirements
- Bachelor s degree
- 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)
