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Senior Manager Data Science and Advanced Analytics - Operations

Stamford, Connecticut, United States

Open 4 months, first seen by us 138 days ago
Pay
$176,000–220,000/year · Base — pay source
Advanced degree in business, analytics, or a related field (MBA or MS) and/or relevant certifications (e.g., Six Sigma). Annual Base Salary Range: $176,000 - $220,000 What we offer:
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Work setting
Not stated
Employment
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Before you apply

Work authorization
Must already have the right to work in the USLegally authorized to work in the US

What you’ll work on

Full posting
  • Deliver actionable insights on supply chain, manufacturing, order-to-cash and demand planning

  • Develop and own the Operations analytics roadmap, including metrics and dashboards

  • Integrate ERP and Salesforce data, working with IT on data architecture and flows

  • Lead and mentor a team of 2 analysts as a player-coach

From the employer’s posting
Deliver actionable insights across supply chain, manufacturing, order-to-cash, and demand planning processes to improve operational efficiency and performance.
Develop and own the Operations analytics roadmap (metrics, dashboards, advanced analysis)
Ensure effective integration of data from ERP and Salesforce systems, collaborating with IT on data architecture and flow enhancements
Lead and mentor a small team of 2 analysts, fostering a high-performance, data-driven culture.
Education & alternatives
- Team leadership and coaching (player–coach model). - Advanced degree in business, analytics, or a related field (MBA or MS) and/or relevant certifications (e.g., Six Sigma). Annual Base Salary Range: $176,000 - $220,000

Benefits in the posting

Full benefits wording
  • We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!

From the employer’s posting.

Posting record

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Open 4 monthsWe first saw this posting 138 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
Jun 19, 2026138 days ago
Recorded sightings
293
Last seen by us
Nov 4, 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

In line with similar jobs

$176K–$220K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 138

Up longer than most. Similar jobs usually come down between day 7 and day 53.

Well past Philip Morris International U.S.’s usual: its jobs come down by about day 56.

From 7,896 similar postings that came down, and 9 of Philip Morris International U.S.’s. Coming down is not always a hire.

Philip Morris International U.S. is hiring

11 open jobs

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

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • Databricks
  • Oracle
  • SAP
  • Snowflake
  • Spark
Where the posting names them
- 8+ years of quantitative experience in Data Science, Operations Research or Advanced Analytics, with a clear track record in Supply Chain, Logistics or Manufacturing Operations. - Deep technical fluency in Python or R, advanced SQL and distributed computing environments (Databricks, Spark, Snowflake). - Direct experience designing optimization models, for multi-echelon inventory, demand forecasting and factory throughput.
- Serve as a player-coach leading a team of analysts, developing advanced data science models (machine learning, mathematical optimization, time-series forecasting) across end-to-end supply chain, manufacturing, inventory and order-to-cash. - Partner with Data Engineering to deploy scalable algorithms in Databricks and Snowflake, ensuring pipelines are architected for minimal compute footprint and egress cost control. - Bridge raw enterprise data into production data science solutions that directly influence supply chain resilience and lead-time optimization.
- Proven awareness of cloud FinOps principles - optimizing query performance, cluster right-sizing and managing compute/egress overhead. - Strong understanding of ERP systems (e.g., SAP or Oracle) and Salesforce CRM, including conceptual knowledge of data flows between these enterprise systems. - Data architecture and integration influence (requirements definition, roadmap ownership).

Your next step

Complete your application on join.pmicareers.com. The employer’s form will show what is required.

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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 ↗

Senior Manager Data Science - Supply Chain & Operations – Stamford, CT (Hybrid - 3 Days In-Office)

 

At PMI U.S., we are building a modern nicotine business—focused on helping make a future without cigarettes a reality in America. As the U.S. businesses of Philip Morris International, we are investing in new products, science, and capabilities to provide the approximately 25 million legal age adults who still smoke with better alternatives. 

Our approach is rooted in innovation, responsible marketing, and a growing U.S. footprint that spans manufacturing, technology, and commercial operations across the country. 

That creates real opportunity. You’ll have the space to take ownership, develop new ideas, and contribute to work that is shaping our business and the category. We’re looking for people who are curious, collaborative, and motivated by progress—because the scale of what we’re building creates room to grow in different directions. 

 

Our beautiful HQ in Stamford, CT is just steps away from the Stamford Metro-North Train Station and easily accessible from NYC.

 

Your ‘day to day’:

This leader drives data-driven strategy and execution for the Operations function in a consumer packaged goods (CPG) company. The role blends strategic insight with hands-on analytics to optimize performance across supply chain & manufacturing, order-to-cash, and demand planning & forecasting. In a player-coach capacity, the Senior Manager leads a small team (2 analysts) while personally delivering key analyses and recommendations to guide operational decision-making.

  • Hybrid - 3 days in-office (Stamford, CT HQ) / 2 days remote per week.
  • Serve as a player-coach leading a team of analysts, developing advanced data science models (machine learning, mathematical optimization, time-series forecasting) across end-to-end supply chain, manufacturing, inventory and order-to-cash.
  • Partner with Data Engineering to deploy scalable algorithms in Databricks and Snowflake, ensuring pipelines are architected for minimal compute footprint and egress cost control.
  • Bridge raw enterprise data into production data science solutions that directly influence supply chain resilience and lead-time optimization.
  • Deliver actionable insights across supply chain, manufacturing, order-to-cash, and demand planning processes to improve operational efficiency and performance.
  • Develop and own the Operations analytics roadmap (metrics, dashboards, advanced analysis) to support data-driven decision-making and continuous improvement.
  • Ensure effective integration of data from ERP and Salesforce systems, collaborating with IT on data architecture and flow enhancements for a holistic view of Operations.
  • Collaborate with cross-functional teams (Operations, Supply Chain, Finance, IT) to identify opportunities and translate data findings into strategic recommendations.
  • Lead and mentor a small team of 2 analysts, fostering a high-performance, data-driven culture.

 

Who we’re looking for:

  • Legally authorized to work in the U.S.

  • Commutable distance to Stamford, CT. 
  • 8+ years of quantitative experience in Data Science, Operations Research or Advanced Analytics, with a clear track record in Supply Chain, Logistics or Manufacturing Operations.
  • Deep technical fluency in Python or R, advanced SQL and distributed computing environments (Databricks, Spark, Snowflake).
  • Direct experience designing optimization models, for multi-echelon inventory, demand forecasting and factory throughput.
  • Proven awareness of cloud FinOps principles - optimizing query performance, cluster right-sizing and managing compute/egress overhead.
  • Strong understanding of ERP systems (e.g., SAP or Oracle) and Salesforce CRM, including conceptual knowledge of data flows between these enterprise systems.
  • Data architecture and integration influence (requirements definition, roadmap ownership).
  • KPI design, performance management, and continuous improvement analytics.
  • Cross-functional stakeholder management and influence.
  • Team leadership and coaching (player–coach model).
  • Advanced degree in business, analytics, or a related field (MBA or MS) and/or relevant certifications (e.g., Six Sigma).

 

Annual Base Salary Range: $176,000 - $220,000

 

What we offer:

  • We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!   
  • We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.  
  • Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore. 
  • Be part of an inclusive, diverse culture where everyone’s contribution is respected; Collaborate with some of the world’s best people and feel like you belong. 
  • Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress. 
  • Take pride in delivering our promise to society: To improve the lives of millions of smokers. 

 

PMI is an Equal Opportunity Employer. 

PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.  

 

PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI’s affiliates first entered the U.S. market following the company’s acquisition of Swedish Match in late 2022. Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match – a leader in oral nicotine delivery – creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI’s IQOS electronically heated tobacco devices and Swedish Match’s General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit www.pmi.com/us and www.pmiscience.com.

 

#PMIUS  

#LI-LC1

Source details

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Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Advanced degree in business, analytics, or a related field (MBA or MS) and/or relevant certifications (e.g., Six Sigma). Annual Base Salary Range: $176,000 - $220,000 What we offer:
Location & working pattern

Stamford, Connecticut, United States

Senior Manager Data Science - Supply Chain & Operations – Stamford, CT (Hybrid - 3 Days In-Office) At PMI U.S., we are building a modern nicotine business—focused on helping make a future without cigarettes a reality in America. As the U.S. businesses of Philip Morris International, we are investing in new products, science, and capabilities to provide the approximately 25 million legal age adults who still smoke with better alternatives.
More source context
This leader drives data-driven strategy and execution for the Operations function in a consumer packaged goods (CPG) company. The role blends strategic insight with hands-on analytics to optimize performance across supply chain & manufacturing, order-to-cash, and demand planning & forecasting. In a player-coach capacity, the Senior Manager leads a small team (2 analysts) while personally delivering key analyses and recommendations to guide operational decision-making. - Hybrid - 3 days in-office (Stamford, CT HQ) / 2 days remote per week. - Serve as a player-coach leading a team of analysts, developing advanced data science models (machine learning, mathematical optimization, time-series forecasting) across end-to-end supply chain, manufacturing, inventory and order-to-cash.

More relevant text appears in the full description.

Work authorization
Who we’re looking for: - Legally authorized to work in the U.S. - Commutable distance to Stamford, CT.

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