Delivery Manager - DATA
Job Description
Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role and Responsibilities
IBM is a leading company that leverages data and analytics to drive business growth and innovation. We're seeking a highly skilled Delivery Manager - Data to lead our data engineering teams and deliver high-quality data solutions that meet our business needs.
Job Summary:
The Delivery Manager - Data is responsible for leading cross-functional data engineering teams to design, develop, and deliver high-quality data solutions that meet our business requirements. The successful candidate will have a strong background in data engineering, agile project management, and team leadership.
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Key Responsibilities :
Data Solution Delivery:
- Lead cross-functional data engineering teams to design, develop, and deliver high-quality data solutions that meet our business requirements.
- Manage multiple data engineering projects simultaneously, ensuring timely delivery, quality, and budget adherence.
- Lead and mentor data engineering teams, providing guidance on data engineering best practices, agile development methodologies, and technical skills development.
- Collaborate with stakeholders to identify business needs, develop data solutions, and ensure successful implementation.
- Ensure data quality, integrity, and compliance with regulatory requirements.
- Continuously improve data engineering processes, tools, and methodologies to optimize delivery efficiency and quality.
Required Technical and Professional Expertise
- Bachelor's degree in Computer Science, Information Technology, or related field. *
- 5+ years of experience in data engineering, agile project management, and team leadership.
- Strong understanding of data engineering concepts, tools, and technologies (e.g., Hadoop, Spark, AWS, GCP). + Proficiency in agile project management methodologies (e.g., Scrum, Kanban).
Preferred Technical and Professional Expertise
- Experience with data governance, data quality, and data security.
- Excellent leadership, communication, and stakeholder management skills.
- Ability to work in a fast-paced, dynamic environment. + Strong problem-solving and analytical skills.
Certifications: Agile certifications (e.g., CSM, CSPO), data engineering certifications (e.g., Certified Data Engineer).
Experience: Experience with cloud-based data engineering platforms (e.g., AWS, GCP, Azure).
Date Posted
10/03/2024
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