Senior Data Management Professional - Data Automation Engineer - People Data

Senior Data Management Professional - Data Automation Engineer - People Data Location Princeton Business Area Data Ref # 10052075 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 workflow efficiencies, and we implement technology solutions to improve our systems, products, and processes.The People Data team provides our clients with a unique dataset of corporate executives, directors, and individuals moving the market to identify risks and opportunities via unconventional financial analysis. Factors including corporate governance, executive pay for performance, leadership changes, career history, and corporate diversity have become a crucial piece to forming business decisions with deeper company intelligence.The Role:The People Data team is looking for a highly motivated individual with a passion for data, operations, and technology to build and optimize our data product by evolving our data quality and acquisition systems. As a Senior Data Management Professional, you will help improve the quality, breadth, and scalability of People Data by transforming how we acquire, onboard, maintain, and validate data through automation and AI-enabled workflows.This role is ideal for someone who enjoys identifying inefficient processes, designing practical solutions, and driving implementation from concept through production. You will work across data, operations, and technology to build scalable systems that reduce manual effort, improve data quality, and accelerate coverage expansion.We’ll trust you to:Design and implement scalable solutions to improve data quality, automate data acquisition, and expand coverage across the People Data productIdentify recurring manual processes, operational bottlenecks, and quality failure points, then translate them into automation opportunities and preventive controlsDesign, build, and deploy automation solutions that improve data quality, expand coverage, and scale data onboarding and maintenance across datasetsInvestigate complex operational challenges and independently develop scalable solutions that reduce manual effort and improve data reliabilityPerform data profiling and apply analytical methods to support data quality measurements, rulesets, and monitoring frameworksCollaborate with domain experts in Data, as well as colleagues in Product, Enterprise, and Engineering, to design and implement solutions that improve data quality and scale acquisition systemsDesign and implement AI-enabled workflows to classify, extract, enrich, reconcile, validate, and prioritize People Data at scaleDefine success metrics to measure automation impact, data quality improvement, operational efficiency, and coverage expansionEducate and empower colleagues on data quality, automation, and scalable data management principlesKeep up with industry trends, standards, and innovation across data quality, data operations, AI, and engineering domainsWork in a fast-paced, multifaceted, and collaborative settingYou’ll need to have:A BA/BS degree or higher in Computer Science, Mathematics, Information Systems, Finance, or a related field, or equivalent professional work experience3+ years of professional experience in Data Quality Management, Data Management, Data Operations, Data Acquisition, Data Governance, or related disciplines within Finance or Technology industriesExperience applying AI, machine learning, NLP, or rules-based automation to data acquisition, enrichment, validation, or operational workflowsExperience developing data quality metrics and business rules as part of a broader data architecture or operational frameworkUnderstanding of data pipelines, workflow orchestration, and automation frameworks used to acquire, transform, and maintain data at scaleExperience identifying workflow inefficiencies and partnering with technical teams to deliver scalable data solutionsDemonstrated experience designing and implementing automation solutions that eliminate manual workflows and improve operational scalabilityExperience writing production-ready code and conducting unit and/or integration testingStrong Python skills with experience building production-grade data workflows, automation solutions, and analytical toolingUnderstanding of Data Engineering best practicesSuperb communication and project management skillsSolid ability to combine technical skills with business insightWe’d love to see:DAMA CDMP or DCAM certificationExperience designing human-in-the-loop workflows for data review, exception handling, or quality controlAgile/Scrum Project Management experienceExperience using data analysis and visualization tools such as Tableau or QlikSenseExperience with financial data, people data, company data, private markets data, corporate governance data, or executive and board datasetsDoes 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 = 110,000 - 190,000 USD Annual + Benefits + BonusThe 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. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.