Team Leader - EMEA Sovereign Debt Data

Description & Requirements

• Recruit, mentor, and develop a team of domain experts and data management professionals who are experts in their field through processing time-sensitive, high-quality financial data, data analysis, and project management
• Lead large-scale programs (technical and operational) with enterprise-wide influence through effective data governance, cross-team organization, dependency, risk and issue management, and leadership engagement
• Identify and implement improvements to schemas, workflows, and operational processes
• Ensure consistency and quality while delivering excellent customer service to internal and external customers
• Collaborate with global counterparts to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness
• Solid grasp of technologies (python, UNIX, GitHub, data visualization tools)
• Manage and mentor team on large and sophisticated data projects and business initiatives
• Participate in technical discussions and provide insights on system designs, code reviews and other relevant areas
• 3+ years of experience with proven leadership experience*
• Demonstrable experience in data management related role such as data quality, data modeling and/or data engineering
• Expert-level knowledge of data processing paradigms and associated tools and technologies
• Experience driving strategies, managing sophisticated projects, and leadership ability in change management or influencing others
• Superb interpersonal skills, allowing you to clearly communicate business needs and to advocate on behalf of your team
• Ability to build influential relationships with multiple internal and external clients and partners
• Creative and flexible approach to problem solving, aided by strong data analysis skills
• Ability to set strategy and manage the product’s technology development roadmap
• Experience in semantic technologies, or an understanding of their structures
• Understanding of data governance and data management standard processes
• Solid understanding of the multifaceted impact of third-party data