Wednesday, 3rd January 2024, Job by Qatar Airways, GreenTodays :
Job Summary
- Published on: Wednesday, 3rd January 2024
- Designation: Manager Talent (Qatari Nationals)
- industry: Airlines
- Vacancy: 1
- Employment Status: Full-time
- Job Location: Doha
- Salary: 0
- Gender:
- Application Deadline: Wednesday, 3rd January 2024
Job Description
the roleWe are hiring for your skills to be part in leading and driving Organisational Talent Management initiatives across the QR group. With support from line manager, this role lead and support QR’s new talent philosophy, framework and vision, as well as lead projects related to Talent Review, Succession Planning, Career, Promotion and competency-based professional journeys to ensure HR’s overall Talent Strategy is successfully implemented.Other operational duties would include:Work with SM Talent and SVP Talent to create new Talent strategy, framework, and philosophy.Work closely with Talent Acquisition, Learning and Development and Organizational Design teams to ensure talent practices are created and executed across all moments that matter in an employee lifecycle.Embed the new Talent Review and Succession Planning across all management levels in the QRG.Create and drive professional journeys and career pathing across all levels in the group to ensure career visibility at all levels.Create and embed a Promotion framework across QRG.Drive Strategic Employee Planning practices working closely with OD and TA.Create a retention framework and toolkits for QRG.Develop HIPO (high potential) programs with Learning and Development.Ensure all talent initiatives are embedded and fully executed across the group - working closely with the HRBP population to ensure first class talent practices and initiatives land and add value.
Responsibilities + Skills
Comprehensive understanding of HR practices and talent management principles, including talent acquisition, development, and retention strategies.
Education
Proficiency in analysing and interpreting talent-related data, utilizing statistical analysis and predictive modelling techniques to derive actionable insights and make data-driven decisions.
Experience