Used Tools & Technologies
Machine Learning LLM GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Software Development @ 3
Leadership @ 3
Communication @ 3
Planning @ 3
Jira @ 2
Technical Leadership @ 3
Audit @ 3
Generative AI @ 3
AI @ 3
Data Modeling @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Bloomberg Data delivers information, context, and analytics for clients worldwide. As part of Data Management and Operations (DMO), this Project Manager will act as a technical leader across the organization to solve data challenges, modernize workflows (including AI inclusion), and orchestrate delivery from modeling through integration and engineering implementation.
Responsibilities
- Enable technical discussions to ensure alignment with system design, scalability, and best practices.
- Champion AI & automation: identify and advocate for inclusion of AI/ML (including LLMs/generative AI) within the data lifecycle to automate manual processes and increase efficiency.
- Audit existing data models and infrastructure to promote interoperability and prevent redundant pipelines.
- Orchestrate technical delivery across ontologists, platform integration engineers, data practitioners, and software engineers to ensure realistic commitments are met.
- Design interconnected data models and knowledge organization structures (taxonomies/ontologies) to conceptualize knowledge across domains.
- Lead planning, execution, and delivery of complex, cross-functional programs, ensuring 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, removing obstacles to collaboration.
Requirements
- Proven stakeholder management experience handling multiple stakeholders, deadlines, and competing priorities across a complex organization.
- Technical appreciation of data management, including data modeling, metadata management, and the software development life cycle (SDLC).
- Demonstrated ability to translate business requirements into program objectives and drive system design and delivery across teams.
- Excellent communication skills for explaining complex technical topics (including AI/ML concepts) to audiences from leadership to individual contributors.
Preferred Qualifications (We'd Love to See)
- Experience identifying use cases for Large Language Models (LLMs) or Generative AI to enhance data discovery, classification, or metadata generation.
- Familiarity with collaborative platforms such as MIRO and JIRA and a passion for championing new collaborative tools (including AI-assisted tools).
- Exposure to semantic technologies, metadata systems, linked data, and/or knowledge graphs.
- Understanding of Data Governance and Data Management, and industry certifications such as DAMA CDMP or DCAM.
- Ability to enable capture and storage of data in accordance with FAIR principles (findable, accessible, interoperable, reusable).
Benefits
Salary Range: 110000 - 140000 USD Annually + Benefits + Bonus
Bloomberg offers a comprehensive benefits package 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) with match, life insurance, and wellness programs. (The Company does not provide benefits directly to contingent workers/contractors and interns.)