Data Steward – Quality Excellence

• Establish and maintain data quality standards, business rules, metadata definitions, and taxonomy frameworks across content domains
• Monitor dataset health and quality metrics to identify opportunities to improve accuracy, completeness, consistency, and timeliness
• Investigate recurring data-quality issues and conduct root cause analysis to develop preventive and scalable solutions
• Partner with operational teams to identify systemic issues and implement process improvements
• Develop and maintain quality dashboards, data dictionaries, governance documentation, and standard operating procedures
• Collaborate with product managers to translate operational insights into product requirements and enhancement opportunities
• Partner with engineering teams to define data-quality requirements and support automation initiatives
• Support complex customer escalations and investigations requiring strong domain and data expertise
• Drive cross-functional initiatives focused on content quality, operational efficiency, and scalability
• Promote standardization and best practices across content domains and workflows
• Identify opportunities to leverage AI and automation to improve quality and reduce manual effort
• Serve as a subject matter expert and trusted partner for data quality and governance initiatives
• Establish a unified quality framework across content domains
• Implement consistent metadata and taxonomy standards
• Build quality dashboards providing visibility into dataset health and quality
• Drive recurring quality issues to root-cause resolution across multiple domains
• Identify and pilot at least one AI or automation opportunity delivering measurable efficiency gains
• Establish scalable standards and practices improving data quality and operational efficiency

• 8+ years of experience in data governance, data quality, content operations, product operations, information management, or a related field
• Demonstrated experience with root cause analysis and cross-functional process improvement
• Experience working with structured and unstructured datasets
• Experience in financial information services or related industries is preferred
• Strong analytical and problem-solving skills
• Ability to navigate ambiguity and manage multiple priorities
• Excellent collaboration and communication skills
• Experience working across Operations, Product, Engineering, and Quality teams
• Experience 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

• AlphaSense never asks candidates to pay for job applications, equipment, or training
• Equal-opportunity employer committed to a work environment that supports, inspires, and respects all individuals
• Reasonable accommodation for qualified employees with protected disabilities, as required by applicable laws