Goldman Sachs Asset Management Business Intelligence Vice President will contribute to leading programs by delivering business and artificial intelligence analytics initiatives. This role will combine accountability and responsibility for delivering automated solutions and business analytics, by taking advantage of artificial intelligence, process automation and data visualization tools, to generate business value.

As a business intelligence specialist, your efforts will involve providing solutions to impactful business initiatives. You will be engaging directly with business representatives and subject matter experts to drive value in line with Goldman Sachs Asset Management strategy while ensuring algorithms, low code assets, and user experience are continually improved to meet organization growth strategy.

Fulfilling Your Potential

Analyze big data and undertake exploratory data analysis while observing best practices for experimentation / analysisPerform data preparation, data blending, data visualizationDevelop business intelligence applications and present outcomesDesign indicators of business intelligence application performance and risk metricsSynthesize analysis results to inform business outcomesIdentify, escalate and resolve systems and algorithm performance trends or issuesDeliver business intelligence products in the context of your organizations change agendaTrack and report progress on projects, adhering to the solution delivery lifecycleSeek information / guidance / opportunities from inside and outside of your firm / industry to corroborate outcomesCollaborate with other solution experts / advisors to share ideas / code through showcasing outputsExtend / modify analysis / development based on observations of data, process limitations and implications of outcomesManage team / teams of core and embedded specialists Business Intelligence SpecialistsLead oversight of client / customer / stakeholder engagements to drive low code opportunitiesPartner with Engineering to ensure low code is provisioned in the context of your firms’ wider technology architecture strategyShape, define and execute on the Business Intelligence specialist career pathAdvise and become advisor for evolving solution applications while keeping a view of full low code toolkit through solution design forumsContribute to ever changing Business Intelligence risk and governance frameworkPartner with internal and external firm innovation partners to drive adoption of new technologies, contributing to ongoing incubation of new low code applications
 

Basic Qualifications

7+ years’ experience in (1) Business Intelligence and (2) Project, Communication and Stakeholder ManagementBachelor’s degree or equivalent in Science, Technology, Engineering or MathematicsRelevant experience in Consumer, Financial, Social Media, FinTechPractitioner in business intelligence and/or artificial intelligence methodologies and their value / limitationsSoftware design and application of software according to the day-to-day realities of the businessKnowledge of data related emerging trends and issues including financial regulation
 

Soft Skills

Fast learner and effective communicator of new / complex informationSelf-motivated team player who is able to define, structure and prioritize work, but who has the flexibility to change priorities when circumstances dictateAble to develop cooperative and constructive working relations with strong cultural awarenessConfidence to challenge and be innovative

Preferred Qualifications

Business

Financial Engineering and / or Investment Management experienceAble to contextualize analysis in Confluence, JIRA, Microsoft Applications, etc.
 

Solution Delivery

Experience with implementing according to solution delivery frameworks such as Agile, Six Sigma, Waterfall, etc.Experience in the practice of continuous integration / continuous deployment

 

Business Intelligence

Working knowledge of analytics applications (i.e. Alteryx, Tableau, Qlik)Working knowledge of workflow applications (e.g. Appian, unqork, Xceptor)Working knowledge of database tools (e.g. Elasticsearch, MS SQL Server)

 

Artificial Intelligence

Working knowledge of artificial intelligence programming languages (e.g. Python, R)Working knowledge of artificial intelligence scientific computing packages (e.g. Scikit-Learn, Pandas, NLTK)Working knowledge of artificial intelligence platforms including robotics (e.g. Automation Anywhere, Anaconda, GitHub/Lab, Jupyter Hub, UiPath)
  ABOUT GOLDMAN SACHS
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., 2021. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
 

Benefits 
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.