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Team Leader - Equity Corporate Actions Data

Location

Skillman

Business Area

Data

Ref #

10044423

Description & Requirements

Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. We’re responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.

Our Equity Corporate Actions Data team underpins Bloomberg’s Terminal and enterprise services by sourcing, validating, and publishing accurate equity reference and corporate-actions information—from distributions, to mergers & acquisitions, stock splits, spin-offs, and beyond—to hundreds of thousands of users worldwide.

What’s the Role?

We’re looking for a strong people leader to join our group in Princeton, New Jersey, where you will lead and develop a team of Corporate Actions analysts covering the Americas region. Your role is key in ensuring consistency of standards for the delivery of accurate and timely financial data to our worldwide clients, while continually seeking new ways to operate more efficiently. Working with your team, you will be expected to drive the delivery of our day-to-day product offerings, while leveraging technology to automate and evolve our data product for the future. You will have the opportunity for extensive collaboration with global colleagues across all business units, including Product, Engineering, and News.

We’ll trust you to:

+ Lead & mentor a team of Corporate Actions analysts, delivering day-to-day on what our clients rely on, while developing the new skill-sets needed to evolve the group

+ Coach analysts to connect daily tasks to long-term data-product strategy, fostering ‘big-picture’ thinking

+ Instill a high-performance, feedback-rich culture that recognizes excellence and drives continuous learning

+ Champion end-to-end data stewardship by embedding robust governance frameworks that safeguard consistency and integrity across every data element

+ Orchestrate automation at scale—combine AI/ML extraction with structured data-management techniques, via a combination of proprietary and industry standard toolkit, to streamline validation, enrichment, and reconciliation to maximize data product value

+ Ensure fit-for-purpose quality by tracking accuracy, timeliness, completeness, coverage, and continuity KPIs, and rapidly correcting anomalies surfaced via business-intelligence analytics

+ Evolve the data product in partnership with Product and Engineering—advance data-model architecture, integrate new sources, and pilot novel LLM-powered solutions to deliver measurable client value

+ Deliver client-first service by upholding strict SLAs, resolving incidents fast, and translating client feedback into prioritized backlog items that continually raise the bar on user satisfaction

You’ll need to have:

+ Led a high-performing team of data analysts or subject-matter experts for 3+ years, setting clear targets and coaching for continuous improvement

+ Demonstrated deep hands-on expertise in data quality, data modelling, and data engineering, plus hands-on command of modern processing paradigms, tools, and architectures

+ Built and operationalized production-grade data pipelines that ingest, normalize, validate, publish, and continuously improve large-scale financial datasets

+ Provided advanced SQL and Python (or similar languages) guidance to teammates developing automation pipelines and data validation rules

+ Acquired in-depth knowledge of the Equity & Corporate Action data domain and its downstream use-cases

+ Established influential relationships with internal and external stakeholders and communicated complex data-management concepts clearly to both technical and non-technical audiences

+ Solved problems creatively and flexibly, leveraging strong analytical skills to turn data insights into actionable improvement's

We'd** **love to see:

+ Advanced degree in a data-related discipline — or a recognized credential such as the DAMA Certified Data Management Professional (CDMP)

+ Contribution to corporate actions working groups or standards bodies, demonstrating thought-leadership in data-management best practices.

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 = 135000 - 230000 USD Annually + 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 [email protected]