Senior Data Management Professional - Data Product Owner - BloombergNEF Asset Financing

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.

The Physical Assets Data Team maintains databases on renewable projects and their corresponding financing instruments and parties that cover financing deals including transactions for the development, refinancing or acquisition of clean energy assets. New investment in renewable energy reached a record in 2023 and is a crucial component of the energy transition and the achievement of net-zero targets. The asset financing data is aggregated to create BloombergNEF flagship products like the Renewable Energy Investment Tracker and Energy Transition Investment Trends as well as monthly, quarterly, and annual league table reports published by the Data team.

As a Data Product Owner for the Asset Financing Dataset, you'll help grow Bloomberg's asset financing databases to further deliver an industry-leading data product offering. You will be responsible for developing essential elements of our data product, including its data model, data pipelines, and data quality specifications. You will be expected to monitor market and industry trends to influence Bloomberg's standard methodologies, tools, and technical infrastructure for data lifecycle management. You will engage with clients to understand their business needs and partner with Engineering and Product teams to propose, develop, and implement solutions for our clients. You will also define the data strategy, analyze data gaps and opportunities, profile data content, and translate business needs into requirements for a data model. You'll collaborate closely with both our Data counterparts and the BloombergNEF Product team in Princeton, New York, London, and Asia.

• Direct a comprehensive and outcome driven data strategy for the asset financing dataset by owning the schema design and suggesting enhancements in line with market trends.
• Engage with market participants and internal product partners to identify and ensure all client needs and trends are accounted for within our product design.
• Establish relationships with banks and other involved parties to increase the volume of data submissions.
• Use your market knowledge to perform market analysis to assess fit for purpose of the current asset financing databases and potential needs for expansion (e.g. beyond clean energy).
• Build quality data workflows to verify and validate third party data submitted directly by clients.
• Analyze internal processes to find opportunities for improvement, as well as devise and implement innovative solutions.
• Maintain workflow configurations for critical functions such as acquisition, worklist management, and quality control.
• Contribute to the creation of standard methodologies and guidelines for governance.
• Apply data visualization skills to report on results of on-going operations and projects, as required.
• Collaborate with a wide variety of partners from Engineering to Sales on product development.
• Partner with Engineering and Product to propose, develop and implement market leading solutions for our clients.
• Understand customer needs and markets to ensure our data sets are fit-for-purpose and seamlessly integrate with other data products when developing data product strategies.
• Stay updated on market, industry and dataset developments related to asset and project financing.
• Make well-informed decisions in a fast-paced, ever-changing environment.
• Report on results of on-going operations and projects, as required.
• Plan and adapt your work using an agile framework.

Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

• 4+ years of data management experience, for example improving data quality, accuracy, efficiency or timeliness*.
• A Bachelor's degree or higher in relevant data technology field or equivalent professional work experience.
• Demonstrated experience in Data Profiling/Analysis using tools such as Python, SQL, Excel, or experience using Analytical/Dashboarding applications (such as Qlik Sense, Tableau).
• Strong passion for data and the overall energy transition movement.
• Good understanding of different financing instruments, project financing and clean energy investments.
• The ability to think creatively and provide out of the box solutions with an eagerness to learn and collaborate.
• Comfort with a high degree of autonomy and shown ability in handling priorities from multiple internal and external partners.
• Demonstrated project management experience, for example leading processes, designing dashboard.
• Excellent written and oral communication skills.
• Interest and/or experience in client and partner management.
• Familiarity with data processing paradigms and associated tools and technologies.

• Master's degree in Sustainability, Public Policy, Economics, Finance, Engineering, MBA, or related field.
• Knowledge of statistical analysis, or programming and applied data analysis skills, with proficiency using R, Python or similar coding languages.
• Experience in semantic structures or data modeling.
• Experience profiling datasets and coming up with necessary requirements.

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 an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

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