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We are looking for Data Analytical Consultants / Data Product Owners to help fuel and build data products that solve customers’ problems and keep them on track in its ambitious mission.
Domains: Life Science (Pharmaceuticals, Clinical Trials, Animal health), Finance (Bank, Fintech), Supply chain, Logistics, Travel and many more

What You’ll Do

• Collaborate Stakeholders and their teams to shape the end-to-end product strategy and determine business value
• Define and propagate the main outcomes to achieve and track progress according to established success metrics
• Work in close collaboration with Solution Architects and Technical Leads to decide what is the right data solution to build
• Drive presale activities and manage consulting engagements
• Cooperate and communicate with all relevant stakeholders so that they understand & carry the product objectives, prioritization and roadmap and so that their expectations are managed as clearly as possible
• Keep the product backlog well prioritized, up to date, refined and clear
• Understand and track the needs of our customers, in cooperation with other product teams
• Help the team stay proactive in terms of what data could and should still be captured, integrated, processed, exposed
• Assess availability and quality of data that are needed for product, drive improvements plan within client organization, be able to establish proper data governance process
• Keep abreast of the data and analytics landscape and recent trends
• Drive the pool of Business Intelligence Analysts and work closely with global leads on discipline OKR implementation
• Manage your resource pool (including staffing, hiring, compensation and people management, etc.)
• Coordinate your pool's work according to the global Data Practice initiatives

What You Have

• Have experience shipping digital B2B or internal products, preferably with a heavy data component (data lake, DWH, advanced analytics solutions, BI/reporting, etc.)
• Are data savvy to be an effective filter for initial ideas, also in terms of technical and data feasibility. You have a good understanding of and interest in data architecture, data elements, and data life cycle
• Are analytical, thus able to swiftly distill what truly holds value and to find simple solutions. You are comfortable using metrics and data to make decisions
• Are structured & organized, thus effective in orchestrating efforts and secure delivery
• Always lead and convince with the why
• Understand the power of 80/20 and that perfection is a fun and iterative process
• Are a frequent, concise and captivating communicator with solid writing skills. You thrive in keeping all relevant stakeholders informed and engaged. You have an ability to express your ideas also to a technical audience
• Understand design thinking and inclusion from discovery to delivery to success measurement
• Are able to manage a large pool of people
• Are fluent in English (C1)

We Offer

• Competitive compensation depending on experience and skills
• Individual career path
• Unlimited access to LinkedIn learning solutions
• Sick leave and regular vacation
• English classes with certified English teachers
• Flexible work hours

About EPAM

• EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting 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 learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential. EPAM is committed to providing our global team of 54,600+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence