Data Steward – Quality Excellence

AlphaSense

. Establish and maintain data quality standards, business rules, metadata definitions, and taxonomy frameworks across content domains .

Posted 9/17/2026full-timeRemote • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance and quality management, with a strong focus on establishing standards, conducting root cause analysis, and implementing process improvements. Proficient in leveraging AI and automation to enhance data quality and operational efficiency.

Highest-signal resume keywords

Data GovernanceRoot Cause AnalysisProcess ImprovementLean Six Sigma Green BeltSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality StandardsMetadata ManagementData Dictionary DevelopmentQuality Dashboard CreationOperational Metrics DefinitionStructured DatasetsUnstructured DatasetsAI WorkflowsTaxonomy FrameworksData Health Monitoring

Soft Skills

Analytical SkillsProblem-Solving SkillsCollaborationCommunicationNavigating Ambiguity

Tools & Technologies

BI Tools

Certifications & Qualifications

Lean Six Sigma Green Belt

Industry Keywords

Financial Information ServicesContent OperationsInformation ManagementProduct Operations

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Establish and maintain data quality standards, business rules, metadata definitions, and taxonomy frameworks across content domains
Monitor dataset health and quality metrics to improve accuracy, completeness, consistency, and timeliness
Investigate recurring data-quality issues and conduct root cause analysis
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
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 and consistent metadata and taxonomy standards
Build quality dashboards providing visibility into dataset health
Drive recurring quality issues to root-cause resolution
Pilot at least one AI or automation opportunity with measurable efficiency gains

Requirements

What you’ll need

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 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 preferred
Familiarity with SQL, BI tools, AI workflows, or metadata management preferred

Benefits

Comp & perks

Equal-opportunity employer committed to a supportive, respectful work environment
Reasonable accommodation for qualified employees with protected disabilities, as required by applicable laws
Opportunity for broad cross-functional exposure and influence over data quality and governance practices