Level

State Street

Enterprise Data Governance Solution Lead, Assistant Vice President

AI in this role

Who We Are Looking For

The Enterprise Data and AI Office is seeking an execution-oriented Enterprise Data Governance Solution Lead to help advance the firm’s enterprise Data Governance framework, standards, control capabilities, and technology-enabled solutions.

This role will focus on translating enterprise data governance 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 governance platform capabilities, controls, measurement and reporting using the Collibra Platform and related technologies.

The ideal candidate combines Data Governance 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. This is a key role to help drive implementation of data governance policies, standards, control frameworks, and operating models that align with industry standards, regulatory expectations, and the firm’s risk management objectives. Success in this role will be measured through effective implementation of sustainable data governance standards and effective data governance controls to mitigate data risk.


What you will be responsible for

  • Work with business and technology partners to understand how data is created, moves between systems, and is used in day-to-day operations.
  • Investigate discrepancies between system data and operational reality, identify root causes, and work with the right teams to resolve them.
  • Understand data models and flows well enough to explain issues and their business impact to technical and nontechnical audiences.
  • Translate data governance policies and control requirements into practical processes, tools, and guidance.
  • Document workflows and turn complex processes or business needs into clear requirements, instructions, and decisions.
  • Partner with delivery teams to define requirements, review solutions, validate results, and support adoption.
  • Analyze data quality results, metrics, and trends; explain what they mean and recommend where to focus effort.
  • Write concise materials for different audiences, including requirements, decision papers, management updates, and user guidance.
  • Bring people across teams together to work through issues, reach decisions, and put changes into practice.
  • Identify opportunities to simplify or automate manual processes and improve how governance work gets done.
  • Support regulatory and audit responses by organizing evidence, explaining the work completed, and tracking remaining actions.

What we value

These skills will help you succeed in this role

  • Strong analytical and problem-solving skills, including the curiosity to ask good questions and follow an issue through to its cause.
  • Hands-on experience working with data, including using SQL or comparable tools to investigate issues, validate results, or answer practical questions.
  • The ability to understand data models and trace information across systems, then explain what the findings mean to business users.
  • Excellent writing skills and experience turning complicated workflows or technical findings into clear documentation and requirements.
  • Strong interpersonal skills: you can listen, build trust, explain issues clearly, and coordinate people across teams without relying on formal authority.
  • Sound judgment and the ability to turn broad goals or ambiguous requests into a clear plan and useful deliverables.
  • Experience improving a process or helping a team adopt a change.
  • Familiarity with data governance, metadata, lineage, controls, or financial services is welcome, but candidates may have built these core skills in other settings.
  • Experience with tools such as Collibra, JIRA, or Confluence is helpful; the ability to learn new tools matters more.

Education and preferred qualifications

  • Experience implementing enterprise data governance frameworks, data governance controls, or supporting technology solutions.
  • Experience with Collibra or similar data governance, metadata management, data catalog, or related 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 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary 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 Street

Across 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.


Discover more information on jobs at StateStreet.com/careers


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Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

How we rate this

Enterprise Data Governance Solution Lead, Assistant Vice President at State Street rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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