440.25 Talent Experience Supervisor / Assistant Supervisor (It/ Data Science)

• Be responsible for recruitment and selection, performance management, career management, retention, employee account relations and other HR activities,
  
• Preparing reports and analyzes of recruitment activities,
  
• Preparing & developing HR documentations (processes and policies through procedures),
  
• Improvement of HR processes and systems,
  
• Work closely with IT / Data Science departments to develop HR strategies, guide the design and implementation of the HR projects, oversee the processes and communications,
  
• Ability to work closely with employees, managers, unit executives, and judges on HR matters including employee relations, disciplinary actions, performance management, and related issues,
  
• Arrange training sessions with all new hires and refresher workshops for existing employees.
  
• Assist managers with staff requirements,
  
• Identify and address employee requirements regarding performance issues and career growth,
  
• Ensure that company s IT/Data Science HR strategy is aligned with the company s strategic vision,
  
• Ensures compliance with the appropriate guidelines, policies, and internal controls.
  

Requirements

The successful candidate will have at least 5 years of progressively responsible experience in preferably three or more functional areas of HR management and administration (organizational development, talent acquisition&management, recruiting, compensation & benefits, organizing and designing training sessions, managing employee relations etc).You should also have excellent administrative skills and easily communicate with staff at all levels

• Bachelor s or Master s degrees from Industrial Engineering, Computer Engineering and any quantitative departments of universities,
  
• Computer/Information Technology literacy is a plus
  
• Excellent command of written and verbal English,
  
• Previous experience recruiting in the IT space is strongly preferred,
  
• Strong understanding of IT positions and technology terms is strongly preferred,
  
• Knowledge of recruitment trends, employer branding, EVP (employee value proposition),
  
• Strong moral and ethical code,Strong leadership skills and the ability to work unsupervised.