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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer, metro location, and mid-level data role increase candidate competition.
Requires banking, controls, and data-governance expertise, limiting cross-industry transferability.
Explicit 4+ years plus mandatory SQL/Python, governance, controls, and banking domain skills make screening strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead or participate in moderately complex data quality and integrity initiatives, acting as a data steward to ensure compliance with Enterprise Data Management policies.
Analyze, resolve, and escalate moderately complex data quality issues using tools like SQL and Python; manage delivery of data quality improvements and AI-enabled solutions within Finance Data Operations.
Coordinate project milestones, risks, and stakeholder communication across business, risk, technology, and operations teams; develop reusable methods to scale data and automation capabilities.
Minimum Requirements
4+ years of data quality or data management experience (can include work experience, training, military experience, or education).
Proficiency in SQL required; experience with Python for data analysis or automation strongly indicated.
Experience managing moderately complex projects or initiatives involving multiple stakeholders and dependencies.
Work Experience Required: 4+ years of relevant experience as stated; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in delivering AI-enabled solutions, automation, or advanced analytics within finance or data operations environments, using tools such as Microsoft Copilot and Power Platform.
Capable of independently managing data quality issues and complex projects involving cross-functional teams without direct authority, including stakeholder influencing.
Strong analytical skills with ability to translate ambiguous business or data problems into structured solutions, emphasizing data governance, control frameworks, and operational risk mitigation.