Bangalore, India
171 days ago
Delivery Manager - Data Engineering & Analytics RR/401/2024

Position: Delivery Manager

Location: Bangalore

Role Overview: The Delivery Manager is responsible for overseeing the efficient delivery of data engineering and analytical solutions, ensuring alignment with business objectives and customer satisfaction. This role involves managing cross-functional teams, driving project execution, and fostering a culture of standardization and best practices in data architecture and delivery.

Key Responsibilities:

Lead the planning, execution, and delivery of data engineering projects, ensuring high-quality outcomes and customer satisfaction. Manage all aspects of complex, cross-functional projects including planning, organizing, scheduling, controlling, and monitoring. Develop, maintain, and manage relationships with client executives and engagement sponsors. Drive the development and maintenance of data architecture strategies and roadmaps. Oversee the design and implementation of data models, schemas, and structures for data warehouse solutions. Ensure adherence to data governance principles and promote a culture of data quality and integrity. Support the development of proposals and execution strategies for new projects and initiatives. Proactively identify potential delivery issues and drive resolution to avoid customer impact. Govern multiple projects/customers, serving as the escalation point for delivery issues. Provide solutions for new customer requirements and suggest transformation themes to improve processes.

Required Qualifications:

15+ years of experience in the data engineering domain, with a proven track record in project delivery and team management. Strong understanding of data warehousing concepts and Big Data solutions involving structured and unstructured data. Experience with Big Data design patterns of DataLake and DeltaLake, and implementation using HDFS and ecosystem tools like Hive/HBase, Spark with Scala & Python. Technical project management experience in Datawarehouse, Big Data, and Cloud technologies (GCP, AWS, Azure). Experience in data mining and the development of ETL processes using key classical BI tools. Understanding of cloud implementation for large Datawarehouse programs. Familiarity with DEVOPS tool-chain implementation. Domain expertise in Healthcare & Life Science. Excellent communication, documentation, and stakeholder management skills. Ability to multitask in a cross-functional environment and manage scope changes effectively. Solid project management experience, with a proactive approach to identifying and resolving delivery issues. Experience in conducting training workshops for DWH planning and execution. Well-versed with various delivery models (Onsite Offshore, Global Delivery Model, Dedicated and Shared services, Global Command Centre).

 

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