Data Analytics And Strategy Manager

Michael Page; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A well-established entity in the industrial/manufacturing industry is seeking a Data Strategy Owner to lead the analytics roadmap and ensure data is effectively used across the organization. You will integrate operational data into centralized platforms, develop predictive models, and drive data quality initiatives. The ideal candidate has a Bachelor's degree in a relevant field, 5-7 years of experience in analytics, and strong skills in Python, R, and SQL, along with leadership experience in cross-functional projects.

Benefits

Competitive package and benefits

Work with modern tooling and a collaborative team

Qualifications

• 5-7 years hands-on analytics with industrial/domain-specific platforms.
• Proven leadership of cross-functional data projects in complex environments.
• Clear communicator who can translate technical detail into business impact.
• Strong grasp of data governance, security, and regulatory standards.

Responsibilities

• Define the analytics roadmap and data standards for an enterprise manufacturing environment.
• Integrate operational and asset data into centralised platforms for real-time visibility.
• Develop models for reliability, lifecycle, and throughput optimisation.
• Align instrumentation and data collection to business outcomes.
• Drive data quality, consistency, security, and access across systems.
• Champion digital tools and promote insights in daily decisions.

Skills

Python

R

SQL

Predictive analytics

Data governance

Education

Bachelor's in Data/Engineering/Computer Science (or similar)

Job description

Overview

Own the data strategy end-to-end: from standards and governance to advanced analytics that power day-to-day operations. In this role, you will make sure the right data exists, is trusted, and is actually used, then push into predictive and optimisation use cases.

Client Details

A well-established entity in the industrial/manufacturing industry, recognised for its innovative approach and expertise.

Responsibilities

• Set the strategy: Define the analytics roadmap and data standards for an enterprise manufacturing environment.
• Build the backbone: Integrate operational and asset data into centralised platforms for real-time visibility and control.
• Predict & prevent: Develop and scale models for reliability, lifecycle, and throughput optimisation.
• Make it usable: Align instrumentation and data collection to business outcomes; ship dashboards/alerts people rely on.
• Raise the bar: Drive data quality, consistency, security, and access across systems and teams.
• Change the culture: Champion digital tools and ways of working so insights become part of everyday decisions.

Job Offer

• Work with modern tooling and a genuinely collaborative, delivery-focused team.
• Competitive package and benefits.

Qualifications

• Bachelor's in Data/Engineering/Computer Science (or similar).
• 5-7 years hands-on analytics with industrial/domain-specific platforms.
• Proven leadership of cross-functional data projects in complex environments.
• Strong Python/R/SQL and experience with predictive analytics/ML ops in production.
• Clear communicator who can translate technical detail into business impact.
• Solid grasp of data governance, security, and relevant regulatory standards.