Senior Data Management Professional - Data Automation Engineer - People Data

What you'll do

• Design and deploy automation and AI-enabled workflows for data acquisition, onboarding, maintenance, validation, and quality monitoring.
• Profile data, develop quality metrics and rules, and define success measures for automation and coverage expansion.
• Partner across Data, Product, Enterprise, and Engineering to identify operational bottlenecks and implement scalable solutions.

What they ask for

• BA/BS degree or higher in Computer Science, Mathematics, Information Systems, Finance, or a related field, or equivalent professional work experience.
• 3+ years of relevant experience in data quality, 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 workflows, and developing data quality metrics and business rules.
• Strong Python skills, production-ready coding and testing experience, and understanding of data pipelines, workflow orchestration, automation frameworks, and Data Engineering best practices.

Nice to have

• DAMA CDMP or DCAM certification; experience designing human-in-the-loop workflows.
• Agile/Scrum Project Management experience; Tableau or QlikSense; experience with financial, people, company, private markets, corporate governance, or executive and board data.

Pay

110,000 - 190,000 USD Annual (base salary)

Tools

Python, Tableau, QlikSense

AI focus

Apply AI-enabled workflows and AI, machine learning, NLP, or rules-based automation to classify, extract, enrich, reconcile, validate, and prioritize People Data and improve acquisition and operational workflows.