We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
New

Manager, Supply Chain Data Analytics

McGraw Hill
$108,175.00 - $125,000
United States, New York, New York
Mar 27, 2026
Overview

Make an Impact!
At McGraw Hill we create best-in-class, next-generation learning platforms that are used by millions of students and educators worldwide from kindergarten through graduate school. Our goal is to accelerate student success through intuitive and effective learning tools and content that maximize a teacher's time and a student's learning experience. We do all of this in a supportive, collaborative environment where you can grow your career in a way that fits into your life.

How can you make an impact?
As a Manager, Supply Chain Data Analytics, you will lead and develop the Supply Chain Data Analytics team and play a critical role in shaping how data, analytics, and automation are used across McGraw Hill's integrated Global Supply Chain organization. This role is responsible for building and executing a supply chain analytics strategy that drives decision-making, operational excellence, and business outcomes across Forecasting, Inventory Planning, Sourcing, Logistics, and broader Supply Chain functions.

The Manager, Supply Chain Data Analytics provides handson guidance and technical leadership while enabling their team to deliver scalable, highimpact analytics. This role offers the opportunity to define and scale analytics capabilities that will shape how McGraw Hill's supply chain operates for years to come.

This is a remote position open to applicants authorized to work for any employer within the United States. While this position is remote, preference will be given to candidates based in the Eastern or Central Time Zones.

What you will be doing:

  • Lead, coach, and develop a team of Supply Chain Analysts, providing clear direction, performance feedback, career development, and mentorship.
  • Set the vision, roadmap, and priorities for supply chain analytics in alignment with business strategy and leadership objectives.
  • Establish analytics standards, best practices, and governance to ensure consistency, accuracy, scalability, and reuse across reporting, dashboards, and models.
  • Partner with Technology and Data teams to shape and evolve data platforms, pipelines, and tools so they reliably support current and future supply chain analytics needs, scalability, and performance.
  • Oversee the design, development, and maintenance of queries, data sets, dashboards, and analytical models used to monitor and manage supply chain performance.
  • Enable and expand data science, AI, and machine learning use cases that improve forecasting, risk identification, and operational performance
  • Lead initiatives to automate analytics workflows, data pipelines, and reporting using tools such as SQL, Python, Alteryx, Power Platform, and AI/ML capabilities.
  • Ensure analytics outputs are effectively communicated through data storytelling tailored to senior leadership and operational audiences.
  • Prioritize and balance ad-hoc, tactical, and strategic analytics requests to ensure focus on highest-value initiatives.
  • Champion continuous improvement by identifying opportunities to simplify processes, eliminate manual effort, and improve decision quality through data.

We're looking for someone with:

  • Bachelor's Degree required, preferably in Data Analytics, Computer Science, Statistics, Mathematics, Information Systems, Engineering, or a related field; Master's Degree preferred.
  • 7+ years of experience in data analytics, data science, quantitative analysis, or supply chain analytics, with demonstrated progression in scope and responsibility.
  • 3+ years of experience leading, mentoring, or managing analytics professionals in a business environment.
  • Strong analytical and technical background, with hands-on experience using SQL, Python (and/or R), Alteryx, and data modeling techniques.
  • Demonstrated experience with data visualization and business intelligence tools such as Tableau and/or Power BI.
  • Proven ability to design and scale automated analytics solutions using Power Automate, PowerApps, and AI-enabled tools.
  • Familiarity with modern data architectures (e.g., data warehouses, lakes, lakehouses, cloud analytics platforms) and partnering with IT on analytics solutions.
  • Experience leading cross-functional analytics initiatives and managing multiple projects with competing priorities.
  • Strong business acumen with the ability to connect analytical work to operational and financial outcomes.
  • Excellent communication skills, with the ability to influence stakeholders, present to senior leadership, and translate complex analytics into clear insights.
  • Ability to balance strategic thinking with hands-on leadership in a fast-paced, matrixed environment.

Why work for us?
The work you do at McGraw Hill will be work that matters. We are collectively designing content that will build the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.

The pay range for this position is between $108,175.00 - $125,000 annually. However, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.

McGraw Hill recruiters always use a "@mheducation.com or @careers.mheducation.com" email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.

50544

McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with "like skills" based on resume and job data. To request an alternative screening process, please select "Opt-Out" when asked to "Consent to use of Automated Employment Decision Tools" during the application.

Applied = 0

(web-bd9584865-ksnsn)