Project Manager Knowledge Graph Group

Bloomberg

Job Location:

Princeton, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Project Manager - Knowledge Graph Group

Location

Princeton

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 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 were 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 groupfrom 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.

Well 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.

Youll 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.

Wed 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 were a good match. Well get in touch to let you know what the next steps are!

Salary Range 00 USD Annual Benefits Bonus

The referenced salary range is based on the Companys 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.

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Required Experience:

Project Manager - Knowledge Graph Group Location ...