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Data Engineering - Vendor Manager - Associate - New York

Goldman Sachs

Data Engineering - Vendor Manager - Associate - New York

Goldman Sachs

New York, New York, United States

·

On-site

·

Full-time

·

3w ago

Required skills

Jira

The VENDOR DATA PRODUCTS team at Goldman Sachs delivers analytics, pricing and reference data, both real-time and historical reflecting all major markets and financial instruments to our internal and external clients.

The Vendor Data Products Vendor Management sub-team is responsible for negotiating all data licensing and commercial terms with third party vendors. The team coordinates directly with internal business sponsors on data requirements as well as legal counsel, Technology Risk, Compliance and the Vendor Management Office - to ensure vendor solutions meet firm policies and standards. The role provides the opportunity to identify cost saving opportunities and build strong relationships with all divisions in the Firm while supporting strategic projects.

Why join the team?

  • We are a collaborative and global team responsible for over 400 vendor relationships
  • Opportunity to work closely with business stakeholders across all areas of the Goldman Sachs business to understand client requirements and support strategic projects
  • We are at the forefront of driving industry change in digital rights and are building a Digital Rights Management (DRM) platform to revolutionize data licensing
  • Exposure to a broad array of products as well as many different aspects of the business since market data is a critical enabler for our businesses
  • As the primary representative for Firm, you will be accountable for maintaining the Firm’s reputation with our suppliers
  • Ownership of high profile vendor relationships for new contract negotiations, renewals and all other vendor oversight activities
  • You will thrive in a work environment that requires strong problem solving skills and independent self-direction, coupled with an aptitude for team collaboration and open communication

Basic Qualifications/Experience

  • Project or product management experience in global and/or large-scale delivery environment
  • A solid understanding of PMO fundamentals (e.g. project planning, risk management, stakeholder engagement, reporting)
  • Highly motivated individuals who enjoy fast-paced environments and have a track-record of meeting agreed timelines
  • Strong experience in vendor negotiation and relationship management
  • Senior stakeholders engagement; ability to confidently communicate with and influence
  • General understanding of market data licensing terms

Preferred Qualifications

  • Vendor management, data licensing and/or business analysis experience
  • Market data domain expertise and industry awareness
  • Experience managing projects in Jira
  • Experience of the MDSL MDM inventory system

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About Goldman Sachs

Goldman Sachs

The Goldman Sachs Group, Inc. is an American multinational investment bank and financial services company. Founded in 1869, Goldman Sachs is headquartered in the Battery Park City neighborhood of Manhattan in New York City, with regional offices in many international financial centers.

45,000+

Employees

Lower Manhattan

Headquarters

$80B

Valuation

Reviews

3.9

10 reviews

Work-life balance

2.3

Compensation

4.2

Culture

3.8

Career

4.5

Management

3.7

72%

Recommend to a friend

Pros

Excellent training and learning programs

Strong career growth and promotion opportunities

Competitive salary and comprehensive benefits

Cons

Poor work-life balance

Long hours and late work expectations

High stress and overwhelming workload

Salary Ranges

20,304 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

6,923 reports

$112,993

total per year

Base

$97,759

Stock

-

Bonus

$15,234

$77,583

$166,892

Interview experience

5 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 60%

Negative 40%

Interview process

1

Application Review

2

Phone Screen/HireVue Video Interview

3

Superday/Panel Interview

4

Final Decision

Common questions

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study