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Vice President, Data Science

US - NY NYC - 55 Water ST 35 Hrs

Open 6 months, first seen by us 202 days ago
Pay
$177,036–350,000/year · BaseAnnual period assumed. Location-specific pay — pay source
Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here. What we are looking for:
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in the USThis role is limited to persons with indefinite right to work in the United States

What you’ll work on

Full posting

Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world.

We are the catalyst to bring data, software, services, and expertise together to power the markets of the future.

  • Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions

  • Design, build and operate production models for anomaly detection, forecasting and drift

  • Own the full model lifecycle, including monitoring and incident response

  • Review models and guide senior practitioners as a hands-on technical authority

From the employer’s posting
Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world.
We are the catalyst to bring data, software, services, and expertise together to power the markets of the future. We drive growth through world class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions. We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing cost of ownership of our technology estate.
Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions
Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting
Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response
Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners

What you’ll bring

All qualifications

Core experience

  • Track record of delivering and operating production-grade models in financial services or regulated environments
  • Deep expertise in applied data science and ML, including statistical modelling and predictive analytics
  • Strong hands-on skills with data, code, ML frameworks and complex datasets
Qualification wording
with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments
Deep expertise in applied data science and ML, including statistical modelling, predictive analytics
Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets

Benefits in the posting

Full benefits wording
  • Our benefits include:
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
  • Global Hiring and Opportunity at S&P Global:
  • Recruitment Fraud Alert:
  • -----------------------------------------------------------

From the employer’s posting.

About S&P Global

At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information.

In the employer’s words · Read in context

Apply at S&P Global

Posting record

Report an error

Open 6 monthsWe first saw this posting 202 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 26, 2026202 days ago
Recorded sightings
294
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$177K–$350K against $154K–$226K, the middle half of what similar US postings state.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 202

Up longer than most. Similar jobs usually come down between day 8 and day 57.

Well past S&P Global’s usual: its jobs come down by about day 18.

From 9,522 similar postings that came down, and 136 of S&P Global’s. Coming down is not always a hire.

S&P Global is hiring

28 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring has slowed
  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Your next step

Complete your application on spgi.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Has S&P Global posted this job before?

Yes. We’ve followed one other Vice President, Data Science job there since April 2026. It is still up.

  1. LondonStill up after 202 days, first seen Apr 26
  2. This jobUp 202 days so far, first seen Apr 26

About S&P Global

People
About 44,500 in 2025, up 5% from the year before.Annual report (SEC Form 10-K)
Company
Listed as SPGI.

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

About the Role:

Grade Level (for internal use):

15

The Team:

Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world.

We are the catalyst to bring data, software, services, and expertise together to power the markets of the future.  We drive growth through world class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions.  We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing cost of ownership of our technology estate.

Responsibilities and Impact:

  • Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.
  • Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready.
  • Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production.
  • Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes.
  • Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise rather than formal authority.
  • Gain high-impact exposure to senior technology leaders, market-facing financial-services platforms, regulated AI/ML practices, and global enterprise-scale transformation, with the opportunity to shape how advanced analytics and machine learning are applied safely and effectively in production.

Compensation/Benefits Information:

S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan.  This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

What we are looking for:

  • 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments.
  • Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle.
  • Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets, while partnering effectively with software engineering and platform teams.
  • Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements and deliver measurable business outcomes.

Additional Preferred Qualifications:

  • Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value.
  • Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences.
  • Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams without relying on formal authority.
  • Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example.

Right to Work Requirements:

This role is limited to persons with indefinite right to work in the United States.

Return to Work:

Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.

About S&P Global Market Intelligence

At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.

For more information, visit www.spglobal.com/marketintelligence
.

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership


Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include: 

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.  

 

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal

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10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH102 - Senior Management (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
Source details

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Pay
Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here. What we are looking for:
Location & working pattern

US - NY NYC - 55 Water ST 35 Hrs

Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work:
Work authorization
- Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work:

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