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Bloomberg is known for its fast-paced and dynamic work environment, driven by a culture of innovation and collaboration that encourages employees to think creatively and push boundaries. The company's global teams work together to deliver real-time financial data and news, with a focus on providing accurate and unbiased information to its clients. For those who thrive in a challenging and rapidly evolving industry, Bloomberg offers opportunities to work on cutting-edge projects and develop skills in data analysis, journalism, and technology.
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    Infographic showing various Project Management job openings at Bloomberg in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 100% Physical job distribution.
    Project Manager - Knowledge Graph Group

    Project Manager - Knowledge Graph Group

    Bloomberg LP

    New York, NY • On-site

    Full-time

    Medical, Dental, Vision, Life, Retirement, PTO

    Posted 20 days ago

    Job description

    Project Manager - Knowledge Graph Group
    Location
    New York
    Business Area
    Data
    Ref #
    10050188
    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 optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
    The Role
    As part of the Data Management and Operations (DMO) department, we're responsible for supporting the development, enablement and implementation of data management best practices that enable the delivery of "ready-to-use" data. As a Project Manager, you will be a technical leader across the organization, solving problems and devising solutions for data challenges.
    You will orchestrate the work across the various teams of the group-from inception and modeling, through integration into the Semantic Platform and BQL, and beyond to engineering implementation in user-facing terminal applications. You are expected to navigate through unknowns and ambiguity while driving decisions and solutions that ensure technical alignment across the program of work. A key focus of this role is to modernize our workflows by helping to champion AI inclusion, moving the organization toward higher levels of automation, system efficiency, and improved process and collaboration speed.
    We'll Trust You To:*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.
    • Enable Technical Discussions: Facilitate high-level technical discussions to ensure alignment with system design, scalability, and best practices.
    • Champion AI & Automation: Identify and advocate for the inclusion of AI and Machine Learning within the data lifecycle to automate manual processes and increase overall system, process, and collaboration efficiency.
    • Ensure System Alignment & Deduplication: Audit existing data models and infrastructure to promote interoperability and prevent the redundant creation of pipelines where existing architectures should be utilized.
    • Orchestrate Technical Delivery: Coordinate the work of ontologists, platform integration engineers, data practitioners, and software engineers to ensure that commitments to users are realistic and met.
    • Design Interconnected Models: Develop interconnected data models and knowledge organization structures (taxonomies/ontologies) that elegantly conceptualize knowledge across multiple domains.
    • Manage Complex Programs: Lead the planning, execution, and delivery of complex, cross-functional programs, ensuring all milestones and deliverables are met on time and in-scope.
    • Bridge Product and Technical Leadership: Act as the primary link between product owners, technical leads, and individual contributors, keeping all parties aligned with the goal and removing obstacles to collaboration.

    You'll Need to Have:
    • Stakeholder Management: Proven experience managing multiple stakeholders, deadlines, and competing priorities across a complex organization.
    • Technical Mastery: An appreciation of data management, including data modeling, metadata management, and the software development life cycle (SDLC).
    • System Design & Delivery: Demonstrated ability to translate business requirements into program objectives and work across teams to deliver on the design.
    • Communication: Excellence in communicating complex technical topics (including AI/ML concepts) with appropriate scope to varying audiences, from leadership to individual contributors.

    We'd Love to See:
    • AI/ML Inclusion: Experience identifying use cases for Large Language Models (LLMs) or Generative AI to enhance data discovery, classification, or metadata generation.
    • Technical Tooling: Experience with collaborative platforms such as MIRO and JIRA, and a passion for championing new collaborative tools (AI-assisted or otherwise) to improve team efficiency and transparency.
    • Semantic Technology Exposure: Knowledge of metadata systems, semantic technologies, linked data, and/or knowledge graphs.
    • Industry Standards: Understanding of Data Governance and Data Management, supported by industry certifications such as DAMA CDMP or DCAM.
    • FAIR Principles: Ability to enable the capture and storage of Bloomberg data in a manner that is findable, accessible, interoperable, and reusable.

    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!
    Salary Range = 110,000 - 140,000 USD Annual + Benefits + Bonus
    The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
    We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
    Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
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    About Bloomberg

    Sourced by ZipRecruiter

    Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

    Industry

    Finance and insurance

    Company size

    10,000+ Employees

    Headquarters location

    New York, NY, US

    Year founded

    1981

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