Delivery Manager - AVP/Sr.AVP

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

Leadership and Strategy
  • Develop and implement the data engineering strategy aligned with the company’s business goals.
  • Lead, mentor, and grow a high-performing data engineering team.
  • Foster a culture of innovation, collaboration, and continuous improvement within the team.
Data Architecture and Infrastructure
  • Design and oversee the implementation of robust, scalable, and efficient data architectures.
  • Ensure the data infrastructure supports current and future data needs, including data warehousing, data processes, and big data technologies.
  • Evaluate and implement new data technologies and tools to improve data processes and infrastructure.
Data Management
  • Oversee the development and maintenance of data pipelines to ensure data quality and integrity.
  • Implement best practices for data management, including data governance, data security, and data privacy.
  • Ensure compliance with relevant data regulations and standards.
Collaboration and Communication
  • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver appropriate solutions.
  • Communicate complex technical concepts and solutions to non-technical stakeholders effectively.
  • Act as a liaison between the data engineering team and other departments, promoting data-driven decision-making.
Performance and Optimization
  • Monitor and optimize the performance of data systems to ensure high availability and reliability.
  • Develop metrics and KPIs to measure the effectiveness of data engineering initiatives.
  • Identify and resolve performance bottlenecks in data processes and systems.
Project Management
  • Lead data engineering projects from conception to completion, ensuring they are delivered on time and within budget.
  • Manage project resources, timelines, and deliverables, coordinating with other teams as necessary.
  • Ensure thorough documentation of data systems, processes, and projects.

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EXL

Business Process Management / Analytics

New York

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