
Data Steward – Quality Excellence
Posted Sep 17

Posted Sep 17
This is a fully remote position, open to applicants in India.
• Establish and uphold data quality benchmarks, business rules, metadata definitions, and taxonomy frameworks across various content domains.
• Track dataset health and quality metrics to enhance accuracy, completeness, consistency, and timeliness.
• Examine recurring data quality challenges and perform root cause analysis.
• Create preventive and scalable solutions.
• Collaborate with operational teams to identify systemic problems and implement process improvements.
• Develop and sustain quality dashboards, data dictionaries, governance documentation, and standard operating procedures.
• Work alongside product managers to convert operational insights into product requirements and enhancement opportunities.
• Partner with engineering teams to establish data quality requirements and aid automation initiatives.
• Assist with complex customer escalations and investigations.
• Lead cross-functional initiatives aimed at enhancing content quality, operational efficiency, and scalability.
• Advocate for standardization and best practices throughout content domains and workflows.
• Identify prospects for leveraging AI and automation to elevate quality and minimize manual effort.
• Act as a subject matter expert and reliable partner for data quality and governance initiatives.
• Create a unified quality framework and consistent metadata and taxonomy standards.
• Construct quality dashboards that offer visibility into dataset health.
• Propel recurring quality issues to root-cause resolution.
• Pilot at least one AI or automation initiative with measurable efficiency improvements.
• Over 8 years of experience in data governance, data quality, content operations, product operations, information management, or a related area.
• Proven experience in root cause analysis and cross-functional process enhancement.
• Proficient in working with both structured and unstructured datasets.
• Experience in financial information services or similar industries is preferred.
• Strong analytical and problem-solving abilities.
• Capability to navigate ambiguity and manage multiple priorities effectively.
• Exceptional collaboration and communication skills.
• Experience collaborating across Operations, Product, Engineering, and Quality teams.
• Background in defining operational metrics, standards, processes, and documentation.
• Lean Six Sigma Green Belt certification is preferred.
• Familiarity with SQL, BI tools, AI workflows, or metadata management is preferred.
• Equal-opportunity employer dedicated to fostering a supportive and respectful work environment.
• Reasonable accommodations for qualified employees with protected disabilities, as mandated by applicable laws.
• Opportunity for extensive cross-functional exposure and influence over data quality and governance practices.
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