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We are currently looking for a Data Delivery Manager.
The role is to ensure end-to-end successful delivery for complex programs, projects, or multiple workstreams in Data and Analytics domain. EPAM Data Delivery Manager is accountable for the overall project delivery, client satisfaction, and management of expectations while ensuring that the work is on strategy, on time, and within budget.
You are bringing delivery expertise and theoretical knowledge from Data and Analytics domain, working alongside a globally renowned, award-winning development and technology teams who are passionate about what they do, and how they do it. “Faster delivery with better quality” is our competitive edge even for complex data engineering solutions.
You will be playing a key role in building a strong business / technology relationship, taking a hands-on approach to define and deliver embodying and driving a culture of continuous improvement.
- Own end-to-end solution delivery on the assigned account(s)
- Act as a single point of responsibility for the top management and client over any delivery-related matters, including escalations, upsells, ramp-downs, etc.
- Accountable for the technical leadership regarding the delivery. Ensuring a sound and future-proof architecture is planned and the implementation meets the technical quality standards
- Coordinate between multiple disciplines, stakeholders
- Establish and manage long-term partnerships with the client(s)
- Address client(s) issues and identify and manage engagement risks
- Build up delivery plan along with estimations on timeframes, quality and quantity of resources required to successfully deliver projects
- Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle
- Support pre-sales activities; participate in bid process, provide technical and management expertise to win bids
- Actively contribute into the EPAM-wide data delivery management community
- Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence
- Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
- At least 5 years of experience in gathering and understanding customer business requirements to introduce Data technologies
- Familiar with multiple Data technology stacks
- Knowledge of best Data practices.
- Experience with data visualization, aware of various tools and technologies
- Good understanding of classical analytics methods, including relevant theories
- Good understanding of various delivery approaches, well-versed in agile
- Ability to manage multiple tasks and projects in a fast-moving environment
- Solid customer-facing experience
- Fluent in English
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