Senior Data Management Professional - Data Automation Engineer - People Data

What you'll do

• Design and deploy scalable automation and AI workflows for data acquisition, onboarding, validation, and coverage expansion.
• Analyze data quality and operational processes; establish metrics, rules, monitoring, and preventive controls.
• Collaborate across Data, Product, Enterprise, and Engineering to deliver solutions and promote scalable data management.

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 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 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 with human-in-the-loop workflows.
• Agile/Scrum experience, Tableau or QlikSense, or relevant financial, people, company, governance, executive, or board data experience.

Pay

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

Tools

Python, AI, machine learning, NLP, Tableau, QlikSense

AI focus

Design and implement AI-enabled workflows to classify, extract, enrich, reconcile, validate, and prioritize People Data at scale.