Director, Global Operations Analytics

Harvard Group International; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading industrial services company is seeking a Global Operations Analytics Director located in New York. The ideal candidate will build and scale a global analytics function to drive operational improvements across production and supply chain. Responsibilities include establishing KPI frameworks, identifying inefficiencies, and integrating data systems. Candidates should have over 7 years of analytics experience in complex operations and a Bachelor's in a related field. This role offers a competitive compensation package that includes base salary and performance-based bonuses.

Qualifications

• 7+ years of analytics experience within manufacturing, aviation MRO, or complex industrial operations.
• Proven ability to analyze production workflows, throughput, labor utilization, and capacity constraints.
• Track record of turning fragmented data into actionable insights.

Responsibilities

• Establish and scale a global operational analytics function.
• Define and standardize KPI frameworks across global operations.
• Identify and quantify operational constraints driving improvements.

Skills

Analytics experience

Operational performance

Data integration

Cross-functional partnership

Education

Bachelor’s degree in data analytics, Statistics, Mathematics or related field

Job description

Role Overview

Global Operations Analytics Director will lead the build and scale of a global operational analytics function within a rapidly growing industrial services platform. At a critical inflection point, this role transforms fragmented data across production, labor, and supply chain into actionable insights that drive throughput, efficiency, and scalability. This is a hands‑on, builder role requiring strong operational intuition and cross‑functional leadership to identify constraints, anticipate challenges, and influence strategy in an evolving environment. The ideal candidate brings a balance of analytics expertise and operational experience, with a proven ability to build from scratch, navigate ambiguity, and drive measurable impact across complex, global operations.

Responsibilities

• Establish and scale a global operational analytics function that creates visibility across production, maintenance, supply chain, and labor performance.
• Define and standardize KPI frameworks across global operations to enable consistent measurement, benchmarking, and decision‑making.
• Identify and quantify operational constraints and inefficiencies, driving improvements in throughput, cost, and overall performance.
• Develop production and capacity models to support planning, resource allocation, and scalable growth across the network.
• Build and integrate a centralized data infrastructure that consolidates inputs across systems, teams, and global sites.
• Serve as a cross‑functional partner to operations, engineering, and supply chain, ensuring data is accurate, actionable, and adopted across the business.
• Translate complex data into clear, decision‑grade insights that influence operational and strategic decision‑making at the leadership level.

Requirements

• 7+ years of analytics experience within manufacturing, aviation MRO, or complex industrial operations, with a focus on operational performance.
• Proven ability to analyze production workflows, throughput, labor utilization, and capacity constraints.
• Track record of turning fragmented or complex data into clear, actionable insights that drive measurable operational improvements.
• Experience building and standardizing KPI frameworks across multiple sites or business units.
• Demonstrated ability to integrate data across multiple systems and sources to create scalable reporting and analytics infrastructure.
• Ability to operate independently in unstructured environments, identifying gaps and building solutions from scratch.
• Strong cross‑functional partnership skills, with the ability to work directly with operations, engineering, and leadership to influence decisions.
• Bachelor’s degree in data analytics, Statistics, Mathematics or a related field.

Compensation

A meaningful compensation package will be developed for the successful candidate that includes a base salary plus performance‑based bonus.