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Data & AI Project Lead - Banking

Nair Systems LLC

Doha Metropolitan Area · Tam zamanlı

Başvuran ilk kişi siz olun

Deneyim
12+ yaş
Maaş
Açılışlar
1
Yayınlandı
2 saat önce
Çalışma modu
Ofiste
Sürdürmek
Başvuru yapılması gerekmektedir.

İş tanımı

About the Role

Nair Systems LLC is seeking an experienced Data & AI Project Lead to drive major data and artificial intelligence projects within their Qatar operations, focusing specifically on the banking sector.

Key Responsibilities

  • Take full ownership of project delivery encompassing planning, execution, governance, and formal closure stages.
  • Effectively manage and coordinate multiple stakeholders spanning business units, IT departments, and external partners.
  • Implement project governance through Agile methodologies, including sprint planning, backlog oversight, and tracking progress with JIRA tools.
  • Lead Project Review Working Groups to provide timely project updates, address risks, and support decision-making processes.
  • Oversee vendor collaboration, ensuring compliance with deadlines, budgets, and quality benchmarks.
  • Track and manage dependencies, risks, issues, and escalations across diverse project workstreams.
  • Ensure the successful execution of data, analytics, governance, and AI initiatives aligned to organizational goals.

Required Qualifications and Experience

  • At least 12 years of experience leading extensive Data and AI projects, preferably in banking or financial services sectors.
  • Deep technical knowledge of data platforms, analytics architectures, and AI-driven solutions.
  • Proven track record managing complex stakeholder frameworks and delivering projects within strict deadlines.
  • Practical experience with Agile project management, JIRA, and related collaboration platforms.
  • Excellent communication, team leadership, and vendor management capabilities.
  • Exposure to GCC and/or Qatar banking environments is strongly preferred.

Additional Information

The expected joining timeline for this position is within two weeks, with a maximum allowance of one month for onboarding.

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