We are searching for a Data Delivery Manager to champion full lifecycle solution delivery across key accounts while maintaining technical superiority and excellent client engagement.
This role involves enforcing robust governance and coordinating cross-functional teams to meet delivery objectives. Apply to be part of a team delivering innovative data solutions.
Responsibilities
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Take ownership of solution delivery for specified accounts as the accountable lead
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Maintain governance over delivery and production processes according to the selected model
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Coordinate allocation of resources ensuring skillsets and seniority fit delivery roadmaps
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Lead technical planning for scalable architectures and uphold quality benchmarks
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Encourage cooperation among various disciplines and stakeholders
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Build and nurture long-lasting client partnerships
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Manage client issues and reduce risks in engagements
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Coordinate the development of proposals and statements of work for customers
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Ensure projects follow EPAM’s processes and agile methodologies
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Oversee client responsibilities within engagements
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Design delivery plans with estimations on timing, quality, and resource needs
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Implement ongoing delivery risk management for proactive decision-making
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Monitor and improve delivery productivity metrics
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Assist sales efforts and contribute expertise to bid submissions
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Mentor other delivery managers to enhance team capabilities
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Participate in EPAM-wide delivery management forums
Requirements
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Minimum 10 years managing projects in Data and Analytics, Big Data, Data Warehousing, and BI with up-to-date technology knowledge
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Strong insight into data engineering challenges including batch and streaming ingestion, processing, and integration
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Experience with Big Data technology stacks such as Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka
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Programming skills in Python, Scala, or Java with background in data mining, predictive analytics, and machine learning
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Competency in SQL, supporting Big Data solutions, and cloud data platforms
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Understanding of data architecture and software delivery cycles
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Familiarity with data visualization tools and technologies
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Knowledge of classical analytics methods and theories
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Mastery of multiple delivery approaches, including agile
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Awareness of data security concerns
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Experience with cloud providers such as AWS, Azure, or GCP and leading cloud migration initiatives
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Capability to present to both small and large groups
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Ability to handle multiple projects simultaneously in a fast-paced setting
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Strong client management and proficient English communication (C1)
