Gurgaon · Director
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Delivery Leads manage the end-to-end delivery of projects and ensure successful outcomes. Responsibilities include overseeing project execution, managing resources, and ensuring alignment with client requirements. You will work with senior management to drive project success and address complex challenges. Extensive experience in project management and strong leadership abilities are required.
Responsibilities for Internal Candidates
• Oversee and drive the delivery of end-to-end projects focused on analytical applications and Generative AI solutions.
• Provide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices.
• Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables.
• Utilize Generative AI frameworks like OpenAI, Hugging Face, or Google Vertex AI to design, deploy, and integrate cutting-edge AI/ML solutions.
• Manage cross-functional collaboration with Business Data Analysts (BDAs), ensuring alignment between data engineering and business goals.
• Take ownership of release planning, change management, and stakeholder engagement to ensure project success.
• Ensure adherence to Agile practices, facilitating sprint planning, retrospectives, and delivery timelines.
Qualifications for Internal Candidates
Bachelor's/Master's in any stream 12+ years
Responsibilities for Internal Candidates
• Oversee and drive the delivery of end-to-end projects focused on analytical applications and Generative AI solutions.
• Provide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices.
• Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables.
• Utilize Generative AI frameworks like OpenAI, Hugging Face, or Google Vertex AI to design, deploy, and integrate cutting-edge AI/ML solutions.
• Manage cross-functional collaboration with Business Data Analysts (BDAs), ensuring alignment between data engineering and business goals.
• Take ownership of release planning, change management, and stakeholder engagement to ensure project success.
• Ensure adherence to Agile practices, facilitating sprint planning, retrospectives, and delivery timelines.
Bachelor's/Master's in any stream 12+ years
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