Who We Are Looking For
The Enterprise Data and AI Office is seeking an execution-oriented Enterprise Data Quality Solutions lead to help advance the firm’s enterprise Data Quality Management framework, standards, control capabilities, and technology-enabled solutions.
This role will focus on translating enterprise data quality policies, standards, regulatory expectations, and control requirements into scalable business processes, platform capabilities, and adoption practices across business and technology teams.
The successful candidate will play a key role in strengthening enterprise capabilities for data quality management, controls, measurement and reporting, exception and issue management, and BCBS 239-aligned risk data aggregation and reporting outcomes using the Collibra Platform and related technologies.
The ideal candidate combines Data Quality Management expertise, product management experience, and business analysis skills, with the ability to drive cross-functional delivery in a complex global enterprise environment.
Why this role is important to us
This position is part of the Enterprise Data Governance team within the Chief Data and AI Office. The role is important to strengthen the firm’s ability to define, measure, monitor, and improve data quality across critical data, key metrics, critical reports, and related business processes.
Success in this role will be measured through effective implementation of sustainable data quality management capabilities, improved controls, to enable accurate, complete, timely, and well-controlled data.
What you will be responsible for
- Support implementation of enterprise Data Quality Management standards, procedures, operating practices, and supporting technology capabilities.
- Translate data quality policies, standards, controls, and regulatory expectations into clear business requirements, functional requirements, user stories, process flows, and acceptance criteria.
- Drive continuous improvement of enterprise Data Quality Error Management and Data Quality Issue Management processes, including escalation, tracking, closure evidence, and management reporting.
- Partner with Business Data Owners, Data Stewards, Data Governance Leads, and Technology teams to implement practical data quality measurement, monitoring, and governance capabilities for measuring data quality, including accuracy, completeness, timeliness, where applicable.
- Support the adoption of enterprise Data Quality tools to support data profiling, automated data quality rules and related data quality measurement and governance reporting.
- Identify opportunities to automate data quality control execution, monitoring, escalation, and evidence retention through enterprise technology platforms.
- Define requirements for workflow-enabled data quality control management, control effectiveness reporting, and management oversight dashboards.
- Prepare materials for use in data quality governance forums related to data quality management and data governance controls.
- Serve as a subject matter expert for Enterprise Data Quality Management capabilities within Collibra and related enterprise data governance solutions.
- Develop and maintain requirements, user stories, epics, process flows, use cases, test scenarios, and acceptance criteria for platform enhancements.
- Collaborate with technology delivery teams through design, development, testing, deployment, release readiness, adoption, and post-implementation support.
- Support backlog prioritization, sprint planning, stakeholder demonstrations, user acceptance testing, training materials, and adoption communications.
What we value
These skills will help you succeed in this role
- Strong understanding of data quality management disciplines, including data quality dimensions, DQ rule management, control design, DQ 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, with the ability 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 and using tools such as JIRA, Confluence, or similar platforms.
Education and preferred qualifications
- 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.
- Experience with Collibra or similar data governance, metadata management, data catalog, workflow, or data quality platforms preferred.
- Experience supporting BCBS 239, regulatory remediation, internal audit, risk management, or financial services governance initiatives preferred.
- Bachelor’s degree in Information Management, Computer Science, Engineering, Risk Management, Business/Finance, a related discipline, or equivalent experience required.
Salary Range:
$90,000 - $157,500 AnnualThe range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State StreetAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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Skills Required
- 5+ years of experience in Data Quality Management, Data Governance, Data Management, Business Analysis, Product Management, Risk Management, or related disciplines
- Bachelor's degree in Information Management, Computer Science, Engineering, Risk Management, Business/Finance, or related discipline (or equivalent experience)
- Experience implementing enterprise data quality management frameworks, data governance processes, control frameworks, or supporting technology solutions
- Strong understanding of data quality management disciplines, including DQ dimensions, rule management, control design, measurement, issue management, and governance reporting
- Ability to translate policy, regulatory, and control requirements into business processes, functional requirements, user stories, process flows, and acceptance criteria
- Experience working in Agile delivery environments and using tools such as JIRA and Confluence
- Experience with Collibra or similar data governance, metadata management, data catalog, workflow, or data quality platforms
- Experience supporting BCBS 239, regulatory remediation, internal audit, risk management, or financial services governance initiatives
State Street Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about State Street and has not been reviewed or approved by State Street.
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Retirement Support — Retirement support is framed as a standout component, highlighted by a 401(k) match described as 100% on the first 6% of base salary. This is positioned as a meaningful offset to less competitive cash compensation for some roles.
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Leave & Time Off Breadth — Leave and time off are portrayed as relatively robust, with references to multi-week vacation, paid holidays, sick time, and additional days tied to wellness or volunteering. This breadth is repeatedly treated as a tangible part of total rewards beyond base pay.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are presented as extensive, including the BeWell program, fitness discounts, onsite or supported health resources, and financial counseling. These offerings are depicted as strengthening the overall benefits proposition even when pay satisfaction is tepid.
State Street Insights
What We Do
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