Senior Data Management Professional - Data Product Owner - People Data - Private Markets

Bloomberg - Montgomery, NJ

Full-time - Mid Level

Montgomery, NJ

Broadcasting and Content Providers

About the position

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 improve our systems, products and processes. The People Data team provides our clients with a unique dataset of corporate executives, directors, and individuals moving the market to identify risks and opportunities via unconventional financial analysis. Factors including corporate governance, executive pay for performance, and corporate diversity have become a crucial piece to forming business decisions with deeper level company intelligence. The People Data team is looking for a Data Product Owner passionate about developing the commercialization strategy for our company leadership data offering across Private Markets. In this role, you will be expected to drive the strategy and be the link that connects the team, product, and datasets with its users. This position requires extensive collaboration with global colleagues and partners such as Product, News, Bloomberg Intelligence, Sales & Analytics, our Data Governance team, Engineering, and most importantly external clients. You will need to be able to navigate through unknowns and ambiguity while making impactful decisions and be the driving force for solutions. You'll be responsible for developing data-driven strategies, balancing the best of technical and product knowledge, and working with our engineering and product departments to craft solutions. You will define what a fit-for-purpose data product looks like, ensuring data product health metrics are readily measured and transparent. Additionally, you will identify, support, and develop strategies for new datasets, take ownership of the quality of our Private Market Corporate Leadership and Director dataset, and lead and implement Data Quality projects based on evolving business prioritization and commercial landscapes. You will also mentor the People data team on industry trends, financial modeling, large and sophisticated data projects, and business initiatives.

Responsibilities

• Develop data-driven strategies, balancing technical and product knowledge.
• Work with engineering and product departments to craft solutions.
• Define what a fit-for-purpose data product looks like and ensure data product health metrics are measured and transparent.
• Identify, support, and develop strategies for new datasets.
• Take ownership of the quality of the Private Market Corporate Leadership and Director dataset.
• Lead and implement Data Quality projects based on evolving business prioritization and commercial landscapes.
• Make effective decisions in a fast-paced, rapidly changing environment.
• Mentor the People data team on industry trends, financial modeling, and large data projects.

Requirements

• Bachelor's degree in Finance, Accounting, Statistics, Business, or related field.
• 4+ years' experience in Data Product Ownership or related field.
• Understanding of the mechanics of the Private Markets domain and ability to quantify trends impacting the industry.
• Deep knowledge of equity research, qualitative analysis, or industry analysis.
• Solid grasp of data management principles and technologies such as data modeling and data analysis.
• Strategic approach to align client needs with team goals.
• Excellent interpersonal skills for clear communication of business needs.
• Proven ability to establish strong credibility and build influential relationships with clients and partners.
• Understanding of data integration using multiple data sources.
• Creative and flexible approach to problem solving, aided by strong data analysis skills.
• Understanding of quality assurance and quality control from a data and product perspective.
• Proficiency using scripting languages (preferably Python) to query datasets.
• Experience using data visualization tools such as QlikSense and Tableau.
• Proven track record of effective project management and meeting deliverables.

Nice-to-haves

• Master's degree in relevant field and/or CFA designation (or working towards it).
• Familiarity with Corporate Governance data.
• Experience or knowledge in Bloomberg products and workflows.
• Experience using statistical methods, programming, and machine learning approaches to promote data quality.
• Experience manipulating and wrangling large datasets.
• Experience profiling datasets and coming up with necessary requirements.

Benefits

• Paid holidays
• Paid time off
• Medical insurance
• Dental insurance
• Vision insurance
• Short and long term disability benefits
• 401(k) with matching
• Life insurance
• Various wellness programs