Senior Data Manager

Senior Data Management Professional - Data Quality - ESG Data (Korean speaker), Singapore Location Singapore Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. Environmental, Social, and Governance (ESG) data is increasingly crucial for our clients - providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, ESG data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products. Our Team: As a team, we are responsible for managing and enhancing ESG-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate ESG risk and opportunity analysis into their workflows. The Role: The Sustainable Finance Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality, and technology to strengthen our data products by driving the implementation of robust data quality strategies and assurance practices. As a Senior Data Management Professional, you will help develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations. You will apply your problem-solving skills to design and refine quality control processes, ensure data integrity, and support automation of validation workflows to scale effectively. Additionally, you will measure and articulate the impact of your initiatives using business intelligence tools and data quality metrics. This role offers the opportunity to lead global quality initiatives, collaborate with cross-functional teams, and mentor junior colleagues developing in data quality and stewardship. We'll trust you to: Define and execute a comprehensive strategy to achieve best-in-class data quality for ESG data, with a strong emphasis on as-reported disclosures and point-in-time accuracy Conduct data profiling and apply statistical analysis to measure, monitor, and enhance data quality across key ESG data sets and products Collaborate with domain experts in Data, as well as colleagues in Product, Enterprise and Engineering, on implementation scalable, data-driven quality solutions Lead initiatives to improve data quality across global datasets, incorporating regional assurance frameworks with a focus on APAC market nuances and local reporting standards Apply a subject matter expertise in as-reported ESG data structures, ensuring accuracy across point-in-time series, disclosure timelines, and evolving regulatory requirements Provide insights and recommendations to enhance decision making capability in business planning, process improvement, and solution management Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of best practices more broadly Keep up with the industry trends, standards, and innovation in the data quality domain and ESG data standards to continuously refine strategies and maintain competitive edge Work in a fast-paced, multifaceted, and collaborative setting You'll need to have: Excellent written and verbal language proficiency in English and Korean as you will cover Korean content A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics, Environmental Science, or a related field-or equivalent professional qualifications 4+ years of experience in data quality management, quality assurance, or data governance within the finance or technology industry Demonstrated experience developing data quality metrics, reporting frameworks, and governance processes as part of larger data architecture initiatives Demonstrated knowledge of data management principles, including data modeling, ETL processes, and workflow design Proficiency in data analysis and profiling using tools such as Python, R, SQL, and BI platforms, with the ability to identify data quality issues and generate actionable insights Foundational understanding of statistics and the ability to interpret data to inform business decisions and craft compelling narratives Excellent written and verbal communication skills, strong attention to detail, and effective problem-solving abilities Proven ability to manage multiple global projects in parallel and collaborate effectively with cross-functional stakeholders A strong ability to combine technical skills with business insight to improve data quality and operational outcomes Demonstrated continuous career growth within an organisation We'd love to see: Strong knowledge and understanding of the Sustainable Finance market and sustainability related topics, with preference for experience working with a range of disclosure frameworks and standards, including but not limited to TCFD, ISSB, GRI Experience profiling datasets and coming up with necessary requirements Good understanding of data modeling concepts Experience manipulating and wrangling large datasets Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, you'll need to have legal authorisation to work full-time in Singapore, without Bloomberg sponsoring your work authorization, to be considered for this role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.