Bloomberg

Team Leader - Document Research

Bloomberg$135K — $230K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree
  • 3+ years of experience leading operational or program-focused teams
  • Demonstrated technical judgment in designing or operating annotation systems
  • Good understanding of annotation systems and quality methodologies
  • Experience running large-scale annotation or data operations
  • Ability to enforce centrally defined standards at scale
  • Excellent multi-functional leadership skills

Responsibilities

  • Establish and maintain partnerships with Engineering and Product teams
  • Recruit, mentor and develop a team of data management professionals
  • Balance operational stability with new technology adoption
  • Identify and implement improvements to workflows and processes
  • Participate in technical discussions and provide design insights
  • Collaborate with strategic partners on large-scale programs

Benefits

  • Comprehensive benefits plan including merit increases and incentive compensation
  • Paid holidays and time off
  • Medical, dental, and vision insurance
  • Short and long-term disability benefits
  • 401(k) with match
  • Life insurance
  • Various wellness programs
Full Job Description
Description & Requirements

What's the Role?

As a Team Leader of the Document Research team, you will be pivotal in the development of our evaluation and annotation programmes for our AI applications & experiences within the document research space. The responsibilities will include representing Data in the development of these AI products, alongside CTO, Engineering and Product, contributing domain expertise in the generation of evaluation and annotation programs. Your work will touch a multitude of domains across different groups and inform a variety of expert research systems powered by generative AI.

The ideal candidate is a technically grounded, systems-oriented leader who understands how annotated data shapes AI model behavior and evaluation outcomes. You are comfortable operating at scale while exercising deep technical judgment, enforcing standards, interpreting ambiguity, and using metrics to detect drift, diagnose failure modes, and continuously improve data quality.

We'll Trust You To:

  • Establish and maintain close partnerships with Engineering, CTO and Product counterparts and contribute to the priorities and implementation roadmaps for client facing AI applications & experiences
  • Recruit, mentor and develop a team of data management professionals who are experts in evaluation frameworks, annotations management, and project management while promoting a culture of cross team collaboration
  • Balance operational stability and adoption of new technologies during implementation, while challenging partners' past assumptions
  • Identify and implement improvements to schemas, workflows, and operational processes.
  • Participate and contribute to technical discussions and provide insights on design, code reviews, and other relevant areas as required by the team
  • Collaborate with strategic partners on large-scale programs (technical and operational) with enterprise-wide influence through effective data governance, cross-team organization, and stakeholder engagement


You'll Need to Have:

  • Bachelor's or Master's degree
  • 3+ years of experience leading operational or program-focused teams
  • Demonstrated technical judgment in designing or operating annotation systems that support machine learning training, evaluation, or model assessment
  • Good understanding of annotation systems and quality methodologies, including calibration, agreement modeling, and drift detection
  • Demonstrable experience running large-scale annotation or data operations with vendor and SME workforces
  • Ability to enforce centrally defined standards while maintaining consistency at scale
  • Excellent multi-functional leadership skills and comfort operating in ambiguity-rich environments
  • Strong program leadership capability, with a focus on measurable outcomes and continuous improvement


We'd Love to See:

  • Exposure to the Bloomberg Terminal and/or Enterprise Data products
  • Up-to-date knowledge of financial markets, and how Bloomberg products deliver value to our users
  • Experience with the Data tech stack and HiTL platform (e.g. Gigwork, Autolab, BBDS, etc.)
  • Project Management Professional (PMP) or other relevant certifications are desirable


Does this sound like you? Apply if you think you're a match!

Salary Range = 135,000 - 230,000 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.

About Bloomberg

Bloomberg L.P. is a privately held financial, software, data, and media company headquartered in Midtown Manhattan, New York City. It was founded by Michael Bloomberg in 1981, with the help of Thomas Secunda, Duncan MacMillan, Charles Zegar, and a 12% ownership investment by Merrill Lynch. Bloomberg L.P. provides financial software tools and enterprise applications such as analytics and equity trading platform, data services, and news to financial companies and organizations through the Bloomberg Terminal (via its Bloomberg Professional Service), its core revenue-generating product. Bloomberg L.P. also includes a wire service (Bloomberg News), a global television network (Bloomberg Television), digital websites, a radio station (WBBR), subscription-only newsletters, and three magazines: Bloomberg Businessweek, Bloomberg Markets, and Bloomberg Pursuits.
Learn more about Bloomberg
Size
20,000 employees
Industry
Founded
1981

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