below marketmost similar roles pay hereabove market
This role pays less than
85%
of similar roles. Most pay
$141,200–$204,400
— the blue band above.
At the midpoint, this role pays about
$124k
versus about
$173k
for comparable roles.
Based on 240 similar postings.
Employer
About State Street
State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody
State Street currently has
351 open roles
on FindRole.
Listed pay typically runs
$115,000–$195,944
across 199 roles with salary data.
The Enterprise Data Quality Solutions Lead, Assistant Vice President, joins the Enterprise Data Governance team within the Chief Data and AI Office. This role focuses on advancing the enterprise Data Quality Management framework by translating policies, regulatory expectations, and control requirements into scalable business processes and platform capabilities. You will build and implement sustainable data quality management capabilities, including measurement, reporting, and issue management processes. Key responsibilities involve defining requirements for workflow-enabled controls, managing backlogs, and collaborating with technology teams on platform enhancements. You will utilize the Collibra Platform and related technologies to support data profiling and automated rules. Required skills include data quality management expertise, business analysis, and product management experience. The role specifically addresses BCBS 239-aligned risk data aggregation and reporting outcomes within a complex global enterprise environment.
Translate data quality policies and regulatory requirements into business requirements, user stories, and process flows.
Implement enterprise data quality standards, procedures, and technology-enabled solutions across business and technology teams.
Drive continuous improvement of data quality error and issue management processes, including escalation and reporting.
Partner with data owners and stewards to implement measurement and monitoring capabilities for data accuracy and completeness.
Identify and automate data quality control execution, monitoring, and evidence retention through enterprise technology platforms.
Serve as a subject matter expert for data quality management capabilities within the Collibra platform.
Develop and maintain requirements, test scenarios, and acceptance criteria for platform enhancements in an Agile environment.
Prepare materials for data quality governance forums regarding management capabilities and governance controls.
What we're looking for
Bachelor’s degree in Information Management, Computer Science, Engineering, Risk Management, Business/Finance, or a related discipline required.
5+ years of experience in Data Quality Management, Data Governance, Data Management, Business Analysis, Product Management, Risk Management, or related disciplines.
Experience implementing enterprise data quality management frameworks, data governance processes, control frameworks, or supporting technology solutions.
Strong understanding of data quality management disciplines, including dimensions, rule management, control design, measurement, issue management, and governance reporting.
Ability to translate policy, standard, regulatory, and control requirements into practical business processes and technology-enabled solutions.
Strong analytical, problem-solving, and documentation skills to simplify complex requirements into clear deliverables.
Strong stakeholder management skills and the ability to influence across business and technology teams without direct authority.
Experience working in Agile delivery environments using tools such as JIRA, Confluence, or similar platforms.
Experience with Collibra or similar data governance, metadata management, data catalog, workflow, or data quality platforms (preferred).
Data Quality Management
Collibra
Data Governance
BCBS 239
Metadata Management
Data Catalog
Risk Management
Business Analysis
Data Quality Dimensions
Control Frameworks
Regulatory Remediation
Data Management
Data Quality
Data Observability
SQL
Python
ETL
ELT
Collibra
Informatica
Monte Carlo
Great Expectations
Soda
Alation
Informatica Axon
Data Governance
Data Architecture
HIPAA
GDPR
CCPA
Data Governance
Data Quality
Data Contracts
Collibra
Snowflake
Databricks
Data Management
Regulatory Compliance
Data Quality Controls
Data Governance Frameworks
Data Platforms
Change Management
SQL
Data Management
Information Governance
Data Quality
Metadata Management
Data Lineage
Data Security
Agile Methodology
Root Cause Analysis
Access Management
CDMP
SQL
Python
PySpark
Data Lake
data-warehousing
Data Governance
data modeling
AI
ML
Tableau
QlikView
Thoughtspot
Databricks
Snowflake
AWS
Azure
Google Cloud
Data Visualization
Data Quality