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Digital Technology Data & Analytics Leader

Job in Gloucester, Gloucestershire, GL1, England, UK
Listing for: IF1200 GE Aviation Systems Limited
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Description Summary

At Dowty (a GE Aerospace company) we are continuing to scale up our data and analytics capability with a new opportunity for a Digital Technology - Data & Analytics Leader. Based onsite at our Brockworth site near Gloucester, you will join a dynamic team where we produce handmade carbon fibre propulsion systems out of our cutting manufacturing site. You will be the GE Digital Leader responsible for the Analytics and Data Science areas of program execution with broad analytics scope and high impact to the Dowty and GE Aerospace organisation.

This role is a manager/senior manager level position that requires strong data and analytics experience together with strong people leadership.

You will be responsible for leading, executing, and the operationalization of world class data driven methods, advanced algorithms and capabilities to support the needs of the Dowty business. You and your team of four (at the moment) are tasked with defining, creating and maintaining data models, reports and visualisations across all Dowty sites.

Roles and Responsibilities

In this role, you will:

  • Be responsible for managing, maintaining and identifying new business analytics opportunities and pursuing the execution of your projects with a high level of autonomy through a clear Data & Analytics Strategy.
  • Provide effective leadership of a team, solving business problems using analytics, typically involving large data sets (SQL & PL-SQL).
  • Drive operational excellence by using data and analytics to drive visibility, insights and actions to facilitate decision making across the whole business.
  • Assess data maturity across the business, ownership and data management.
  • Collaborate with the Data Science team (shared service) to embed AI capabilities in the business and then take ownership of these controls.
  • Act as a thought leader for the use of data and analytics to drive critical business decisions and business strategy, and serve as a coach/mentor for data analysts on the team.
  • Lead cross‑functional teams, and provide business/functional perspective to data science projects, and support problem scoping and structuring.
  • Lead all data‑related activities (data discovery and organization on SQL/Big Data stack, cleansing and data prep) to support development of new data science approaches and methodologies to improve operations and business outcomes.
  • Lead program management, including operationalization of analytic methods and products in functional settings, and drive agile development of new methods and capabilities.
  • Ensure customer adoption and drive consumption of analytics, and maximize usage and use of analytics with customers.
  • Maintain effective working relationships with business leaders, stakeholders, users and partners.
  • Conduct project reviews, feasibility, prioritization, initiation, execution, user acceptance, operationalization for all project work related to the data analytics program(s).
  • Partner with shared technical and business resources (GRC, IT teams, Engineering, Product Management, Software CoE, etc.) to effectively deliver and support solutions.
  • Effectively communicate (status, issues, and escalations) to leadership and various levels of the organization.
  • Lead a team of data professionals, which includes three direct reports to begin with.
Essential Requirements
  • Experience of managing, maintaining and identifying new business analytics opportunities and pursuing the execution of your projects with a high level of autonomy through a clear Data & Analytics Strategy.
  • Technical expertise in building data models and visual displays (BI) and experience defining data strategies.
  • Proven experience solving business problems using analytics, including problems that involve large data sets, e.g., SQL & PL-SQL in particular.
  • Knowledge of SQL and PL‑SQL is a requirement for this role.
  • Experience of data warehousing and/or data maturity is highly desirable.
  • People leadership and team management.
Flexible Working

GE supports and encourages flexible working arrangements, where possible, and recognises the benefits to employees of having a positive work‑life balance.

Total Reward
  • Performance based annual bonus.
  • Non‑contribut…
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