We are in search of a proficient and accomplished Chief Data Analyst to lead the implementation of a detailed “Data & AI Culture” strategy designed to improve the widespread adoption and application of Data & AI practices.
This position is critical for advancing the analysis and usage of data, thereby significantly enhancing the outcomes provided to our customers through both advanced and general AI technologies.
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.

REQUIREMENTS

• Minimum of 7 years of relevant work experience
• 2+ years in a relevant leadership role
• Experience in leading initiatives for Self-Service and Data & AI Literacy
• Proven track record of leading impactful cultural transformations
• Proficiency in self-service technologies that facilitate data analysis and consumption, including both predictive and general AI
• Expertise in crafting and executing technology adoption plans tailored to Data & AI processes
• Excellent communication skills, adept at working with multidisciplinary teams
• Strong analytical skills and a results-driven focus aimed at ongoing enhancement initiatives

• Spearhead the design and implementation of strategies for Data & AI democratization
• Promote cultural changes across the organization emphasizing Data & AI
• Develop specialized technology adoption tactics for Data & AI
• Nurture a results-driven environment to enable progressive enhancement
• Engage in effective communication with multidisciplinary teams to synchronize goals and assignments
• Apply strong analytical abilities to facilitate data-driven decision-making