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Manager Supplier AI & Analytics - R10218295-2

Job in Fore Store, Appomattox County, Virginia, USA
Listing for: Northrop Grumman
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Location: Fore Store

Job Summary

Position:
Manager, Supplier AI & Analytics

Location:

Falls Church, VA (hybrid and remote options possible)
Company:
Northrop Grumman
Seniority level:
Mid‑Senior

Employment type:

Full‑time

Job Overview

Northrop Grumman Insights & Intelligence (i2) is seeking a strategic leader to drive AI, analytics, and data‑driven decision making for the Global Supply Chain (GSC) function. Reporting to the Director, Operations AI & Analytics, this role works closely with GSC leadership and the Supply Chain Leadership Council (SCLC). You will translate business priorities into analytics/AI roadmaps, build and scale embedded analytics/AI capabilities, and lead cross‑functional transformation that embeds data‑driven decision making into daily operations.

Key Responsibilities
  • Co‑create and execute an AI & analytics strategy and roadmap in partnership with GSC and SCLC.
  • Lead and mentor AI & analytics teams.
  • Establish a technical roadmap for Supplier AI & analytics.
  • Translate complex business problems into analytics and AI solutions; own delivery from scoping to production and impact measurement.
  • Drive organizational adoption: present insights to senior leaders, run stakeholder workshops, and implement change‑management plans to embed new capabilities.
  • Partner with the broader i2 organization to establish data governance, quality, and lineage standards to drive standard business metrics.
  • Recruit, develop and retain top analytics talent; define hiring priorities and bench strength for key skills (data analysis, data science, analytics storytelling).
Basic Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, Economics, or related field (advanced degree preferred).
  • At least 8 years of progressive experience in analytics, data science, AI/ML, or business intelligence.
  • Demonstrated track record of delivering enterprise‑scale analytics or AI products that produced measurable business value.
  • Strong stakeholder influence and executive‑level communication skills; experience partnering with CFOs or finance leadership.
  • Practical experience implementing analytics operating models.
  • Hands‑on understanding of analytics/ML lifecycle, data engineering, cloud analytics platforms, and modern BI tooling.
  • Proven ability to hire, develop and retain cross‑functional analytics teams.
  • Familiarity with enterprise business systems such as SAP S/4.
Preferred Qualifications
  • Experience leading analytics within supply chain, finance, business management, or corporate strategy contexts.
  • Experience using generative AI or similar tools within analytics.
  • Familiarity implementing solutions using Databricks or similar.
  • Strong change management skills and experience driving cultural adoption of data‑driven decision making.
  • Track record of pragmatic prioritization: delivering quick wins while building long‑term capability.
Salary & Compensation

Primary Level Salary Range: $ – $. This range is a guideline; compensation is determined by scope, responsibilities, experience, education, skills, and market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and discretionary bonuses. Annual bonuses reward individual contributions and company results. Vice‑President or Director positions may be eligible for Long‑Term Incentives.

Benefits

Northrop Grumman provides health insurance coverage, life and disability insurance, a savings plan, company‑paid holidays, and paid time off (PTO) for vacation and personal business.

Travel & Relocation

Travel: 10% of the time.
Relocation assistance:
None available.

EEO Statement

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit Northrop Grumman EEO.

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