Senior Data Manager

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Date: Jun 21, 2022

Location: Budapest, HU, H-1103

Company: Wizz Air Hungary Ltd.

WELCOME TO THE WORLD OF OPPORTUNITY!

 

Wizz Air is the fastest growing and greenest European low-cost airline, operating a fleet of 134 Airbus A320 and A321 aircraft. A team of dedicated aviation professionals delivers superior service and very low fares, making Wizz Air the preferred choice of 40 million passengers in the financial year F20 ending 31 March 2020. Wizz Air is listed on the London Stock Exchange under the ticker WIZZ. The company was recently named one of the world’s top ten safest airlines by airlineratings.com, the world’s only safety and product rating agency, and 2020 Airline of the Year by ATW, the most coveted honour an airline or individual can receive, recognizing individuals and organizations that have distinguished themselves through outstanding performance, innovation, and superior service.

 

JOB TITLE: Senior Data Manager 

BASE: BUD - Office  

Purpose of the position:

The Senior Data Manager is the owner of one of the key pillars of Wizz Air’s Digital organization. Wizz Air is committed to driving business optimization and customer engagement through the deployment of state-of-the-art decision support tools across the entire enterprise. This role's primary responsibility is to ensure alignment of Data Science, Reporting, Data Architecture, and Data Engineering resources to build a best-in-class Airline Data ecosystem.  This individual is also responsible for the creation of the Data strategic roadmap, for ensuring Wizz Air’s data assets are properly cultivated, documented, and leveraged, and for helping guide the long-term investment into the Data & Analytics organization. This position reports to the Head of Technology within the Digital organization. The position has two direct reports: Data Analytics Manager and Data Science Manager.

 

Responsibilities include:

 

Strategic

  • Ensure technology decisions continue to support rapid growth trajectory
  • Establish governance and frameworks for measuring current status and roadmap progress
  • Acquire and manage ownership of all purchased data assets, ensuring proper usage and value extraction

 

Project

  • Coordinate data foundation across 4 agile release trains to ensure data standardization in all development
  • Manage core data foundation projects, including continued enrichment of Enterprise Data Lake
  • Coordinate regular training sessions for business users
  • Perform assessments and benchmarking across data ecosystem to ensure continued strategic differentiation in key area

 

General

  • Direct management of two internal and 30+ external resources
  • Manage budget, time, and developer resources
  • Manage multiple vendors and participate in IT tenders
  • Responsible for yearly and quarterly budgeting process
  • Form and manage BI strategy
  • Actively seeks opportunities, embracing the ideation process to leverage the possibilities in data
  • Drive company level master data management, data catalogue, and data dictionary to increase maturity and usability
  • Responsible for the following systems, applications:
    • Data Marts & Related OLAP cubes
    • Reporting and Dashboards
    • Master Data Management
    • Yield Management (Pricing) Systems
    • Machine Learning-based applications
    • Data Management, Databases
    • Data Integration Platforms, Messaging to 3rd parties (authorities, partners, airports)

 

Requirements:

  • Minimum 10 years of experience in MS SQL, Reporting Services, Analysis Services, Power BI, Integration Services, BizTalk or equivalent technologies.
  • Experience with Microsoft Azure, Databricks, and DevOps/MLOps preferred
  • University or college degree 
  • Experience in managing a developer team, preferably including vendor management.
  • Strong interpersonal skills, ability to cooperate with a variety of stakeholders, team player personality.
  • Dedication, positivity, integrity, and inclusivity.
  • Good project management skills.
  • Strong sense of ownership and accountability for enterprise-level Data & Analytics solution
  • Ability to live and work in Budapest, Hungary
  • Fluent spoken and written English.


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