Senior Data Management Professional - Data Automation Engineer - People Data
About The Position
The People Data team provides clients with a dataset of corporate executives, directors, and other individuals who move markets. The data supports analysis of risks and opportunities involving corporate governance, executive pay for performance, leadership changes, career history, and corporate diversity. The Senior Data Management Professional will help improve the quality, breadth, and scalability of the People Data product by transforming how data is acquired, onboarded, maintained, and validated through automation and AI-enabled workflows. The role involves identifying inefficient processes, designing practical solutions, and taking them from concept through production. The position works across data, operations, and technology to build scalable systems that reduce manual effort, improve data quality, and accelerate coverage expansion.
Requirements
- BA/BS degree or higher in Computer Science, Mathematics, Information Systems, Finance, or a related field, or equivalent professional work experience.
- At least 3 years of professional experience in Data Quality Management, Data Management, Data Operations, Data Acquisition, Data Governance, or related disciplines within Finance or Technology industries.
- Experience applying AI, machine learning, NLP, or rules-based automation to data acquisition, enrichment, validation, or operational workflows.
- Experience developing data quality metrics and business rules as part of a broader data architecture or operational framework.
- Understanding of data pipelines, workflow orchestration, and automation frameworks used to acquire, transform, and maintain data at scale.
- Experience identifying workflow inefficiencies and partnering with technical teams to deliver scalable data solutions.
- Demonstrated experience designing and implementing automation solutions that eliminate manual workflows and improve operational scalability.
- Experience writing production-ready code and conducting unit and/or integration testing.
- Strong Python skills, including building production-grade data workflows, automation solutions, and analytical tooling.
- Understanding of Data Engineering best practices.
- Excellent communication and project management skills.
- Ability to combine technical skills with business insight.
Nice To Haves
- DAMA CDMP or DCAM certification.
- Experience designing human-in-the-loop workflows for data review, exception handling, or quality control.
- Agile/Scrum Project Management experience.
- Experience using data analysis and visualization tools such as Tableau or QlikSense.
- Experience with financial data, people data, company data, private markets data, corporate governance data, or executive and board datasets.
Responsibilities
- Design and implement scalable solutions to improve data quality, automate data acquisition, and expand People Data coverage.
- Identify recurring manual processes, operational bottlenecks, and quality failure points, and translate them into automation opportunities and preventive controls.
- Build and deploy automation solutions that improve data quality, expand coverage, and scale data onboarding and maintenance across datasets.
- Investigate complex operational challenges and develop scalable solutions that reduce manual effort and improve data reliability.
- Perform data profiling and apply analytical methods to support data quality measurements, rulesets, and monitoring frameworks.
- Collaborate with domain experts in Data and colleagues in Product, Enterprise, and Engineering to improve data quality and scale acquisition systems.
- Design and implement AI-enabled workflows to classify, extract, enrich, reconcile, validate, and prioritize People Data at scale.
- Define success metrics for automation impact, data quality improvement, operational efficiency, and coverage expansion.
- Educate and empower colleagues on data quality, automation, and scalable data management principles.
- Keep up with trends, standards, and innovation across data quality, data operations, AI, and engineering.
- Work in a fast-paced, multifaceted, and collaborative setting.
Benefits
- Merit increases
- Incentive compensation (exempt roles only)
- Paid holidays
- Paid time off
- Medical benefits
- Dental insurance
- Vision insurance
- Short- and long-term disability benefits
- 401(k) with matching
- Life insurance
- Wellness programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
