Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
AlphaSense

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

Use this summary to align your resume positioning with the role.

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

Highest-signal resume keywords
Data GovernanceRoot Cause AnalysisProcess ImprovementLean Six Sigma Green BeltSQL

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Quality StandardsMetadata ManagementTaxonomy FrameworksDataset Health MonitoringOperational Metrics DefinitionData Dictionary DevelopmentQuality Dashboard CreationAI WorkflowsStructured and Unstructured DatasetsCross-Functional Collaboration
Soft Skills
Analytical SkillsProblem-Solving SkillsCollaborationCommunicationAbility to Navigate Ambiguity
Tools & Technologies
BI ToolsAutomation Tools
Certifications & Qualifications
Lean Six Sigma Green Belt
Industry Keywords
Financial Information ServicesContent OperationsInformation ManagementOperational EfficiencyData Quality Governance

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 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

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 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

Benefits

Comp & perks
  • 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