About this opportunity
Bloomberg L.P. lists this Team Leader - Document Research opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Team Leader - Document Research
Location
New York
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 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 enhance our systems, products and processes - all while providing platinum customer support to our clients.
Our Team:
The Data Artificial Intelligence group is focused on bringing a comprehensive strategic vision to incorporating AI within the department. We see our responsibilities as driving both the prioritization and implementation of AI methods within the Data Department, as well as standardizing and promoting Data as a partner in the development of AI-enhanced products throughout the firm through domain expertise.
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.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.