Experience
- Proven experience in fast-paced, client-centric, data-centric environments.
- Experience and proven track record in data structures, queries, and analysis.
- Knows well the principles and practices used withinQuality.
- Excellent communication skills with the ability to present structured arguments to diverse audiences, incl. colleagues, customers and vendors, and influence others.
- Knowledge of the AI data services industry and a keen interest in its technology, process, competitive landscape, and emerging trends.
- Strong in problem-solving with attention to time constraints while being accountable for the quality of the deliverables.
- Flexible attitude with the ability to manage multiple priorities in a fast-paced, time-sensitive, and deadline-driven work environment.
- Problem-solving mindset that can proactively assess and mitigate risk. Creative thinking in identifying areas for improvement is desirable.
- Solves standard situations independently and in line with company policies and procedures.
- Can work within a team, contributing to the team's success, or work independently as needed.
- Ability to prioritize ongoing projects based on business needs and urgencies that can arise.
- Excellent communication skills (written and verbal, fluent in English).An additional language at a fluent level(both verbal & written)preferred.
- Experience with partner and customers direct communication would be an advantage.
- Experience in Agile Methodology and/or Lean Six Sigma is an advantage.
- Supervisory Responsibilities:
- Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws.
- The role may manage a team or serve as a contact for external resources.
- Responsibilities may include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems.