Python Job: Delivery Manager

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

No less important is the safety, well-being and experience of our applicants. Therefore, until further notice, all EPAM employment interviews will be conducted remotely. Our recruitment professionals and hiring managers are standing by to ensure a robust and engaging virtual candidate experience. We look forward to speaking with you!

Description

We are looking for a Data Delivery Manager to join our team in Austria.

The role is to ensure end-to-end successful delivery for complex programs, projects, or multiple workstreams in the Data and Analytics domain. The 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 the Data and Analytics domain, working alongside 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.

To play a key role building strong business / technology relationships, taking a hands-on approach to define and deliver embodying and driving a culture of continuous improvement.

Learn more about our Data Practice here.

Responsibilities

• Own end-to-end solution delivery on the assigned account(s)
• Assure governance of processes in delivery management and production as per selected delivery model
• For the top management and client - act as a single point of responsibility over any delivery related matters, including escalations, upsell, ramp-downs, etc
• Take responsibility over resources needed for delivery - assure sound skills and seniority staffing according to the delivery roadmap
• Be 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
• Coordinate the preparation of customer proposals and statements of work
• Ensure that projects are delivered in line with EPAM processes and methodologies; Well versed in different delivery models, with focus on agile approaches
• Make sure that the customer executes their responsibilities on the engagements
• 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
• Measure and improve delivery productivity
• Support sales activities; participate in bid process, provide technical and management expertise to win bids
• Help mentoring and coaching other delivery managers
• Actively contribute in EPAM-wide delivery management community
• Contribute to the growth and day-to-day management of the local Data Practice

Requirements

• At least 5 years of IT experience, and at least 2 years of leadership experience (Team Lead / Architect / Project manager / Program manager / Delivery manager / Software Engineering Manager)
• Strong, proven experience in software and/or data engineering with ability to deliver sustainable solutions. Can read and comprehend code and architecture of a full stack technical solution. Able to dive deep into problem areas, including the code and provide support for the delivery to resolve those problems
• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions, industry best practices
• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
• At least 2 years of experience in gathering and understanding customer business requirements to introduce Big Data technologies
• Familiar with multiple Big Data technology stacks (e.g. Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc.)
• Experience with the data services of one or more leading cloud providers (AWS / Azure / GCP), leading role in on-prem to cloud migration project(s)
• Aware of various tools, techniques, and hands-on knowledge on some of the tools, techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc.)
• Experience with data visualization, aware of various tools, technologies
• Good understanding of classical analytics methods; including relevant theories
• Good understanding of various delivery approaches, well versed in agile
• Understanding data related security challenges
• High degree of comfort to present both to large or small audiences
• Ability to manage multiple tasks and projects in a fast-moving environment
• Excellent interpersonal skills, ability to work with diverse personality types
• Clear, concise communication skills and good command of written and spoken English and German

We offer

• We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge
• Full access to cutting-edge tools and technologies
• Competitive compensation depending on experience and skills
• Wide range of professional trainings and workshops, English classes
• Certification opportunities in the Data and Analytics domain
• Relocation opportunities
• Continuous experience exchange with experts and professionals worldwide
• Work-life balance and flexible schedule, team buildings and sport opportunities
• Opportunities for self-realization

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