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head of data architecture & ai jobs near boston, ma

Global Head of Data & AI Governance & Oversight, SVP

State Street -
Boston, MA

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Job Details

Full-time
$225,000 - $337,500 a year

Benefits

Disability insurance
Health insurance
Dental insurance
Paid time off
Employee assistance program
Vision insurance
401(k) matching
Life insurance

Qualifications

Quality control corrective actions
Optimizing workflow processes
Data integrity assurance
Data quality checks
Strategic management
Defect resolution root cause analysis
Process design
Incident Escalation
Quality performance measurement
Quality risk management
Data classification
Continuous improvement
Data quality monitoring
Issue tracking
Industry knowledge of financial regulations
Third-party risk management
Root cause analysis
Regulatory compliance analysis
Senior level
RMF
Escalation handling
Process management
Policy Development
Regulatory compliance management
Generative AI
IT risk management

Full Job Description

The Head of Data & AI Governance and Risk is accountable for ensuring that all enterprise Data, AI, and Agentic AI capabilities are well ‑ governed, high ‑ quality, trusted, and regulator ‑ ready , while enabling innovation to scale safely across all lines of business.

This role defines and maintains the enterprise policies, standards, and governance operating model for Data and AI and serves as the single global point of accountability for Data and AI–related regulatory, audit, and supervisory engagement.

The role operates proactively , anticipating regulatory direction and strengthening the firm’s posture ahead of examinations. It actively engages in all ongoing regulatory efforts related to data, risk, and AI, partnering with appropriate bank owners to ensure coordinated execution and durable remediation.

In partnership with each line of business, this role defines the strategic target state for Data and AI governance , ensuring clarity and consistency across ownership, stewardship, authoritative sourcing, data quality, and approval expectations.

The role is intentionally independent of platform build, model development, and use ‑ case delivery. Success is measured by regulatory confidence, enterprise trust, data quality, and speed enabled through strong governance and streamlined processes .

Role Mandate

Establish and operate enterprise-wide governance, risk, and regulatory oversight for Data, AI, and Agentic AI—including authoritative data sourcing—and proactively elevate the firm’s regulatory posture while enabling streamlined, standard approval of AI capabilities across the enterprise.

Role Purpose

The Head of Data & AI Governance and Risk is accountable for ensuring that all enterprise Data, AI, and Agentic AI capabilities are well ‑ governed, high ‑ quality, trusted, and regulator ‑ ready , while enabling innovation to scale safely across all lines of business.

This role defines and maintains the enterprise policies, standards, and governance operating model for Data and AI and serves as the single global point of accountability for Data and AI–related regulatory, audit, and supervisory engagement.

The role operates proactively , anticipating regulatory direction and strengthening the firm’s posture ahead of examinations. It actively engages in all ongoing regulatory efforts related to data, risk, and AI, partnering with appropriate bank owners to ensure coordinated execution and durable remediation.

In partnership with each line of business, this role defines the strategic target state for Data and AI governance , ensuring clarity and consistency across ownership, stewardship, authoritative sourcing, data quality, and approval expectations.

The role is intentionally independent of platform build, model development, and use ‑ case delivery. Success is measured by regulatory confidence, enterprise trust, data quality, and speed enabled through strong governance and streamlined processes .

Key Responsibilities

Enterprise Data, AI & Agentic AI Governance

Define, maintain, and evolve enterprise-wide policies, standards, and control frameworks for:

Data governance and data management

AI, GenAI, and Agentic AI

Responsible AI and AI risk classification

Third ‑ party and vendor AI usage

Ensure governance applies across the full lifecycle of data and AI assets, from design through retirement.

Strategic Governance Target State (LOB Partnership)

Partner with each line of business to define and maintain the target state for Data and AI governance aligned to enterprise standards and regulatory expectations.

Translate enterprise governance principles into domain ‑ specific, actionable models .

Provide governance leadership into Data & AI roadmaps without owning delivery or architecture decisions.

Authoritative Data Sources, Ownership & Stewardship

Establish and operate the enterprise framework for authoritative data sources by data domain and key data element.

Partner with data owners and data stewards to:

Designate approved and trusted data sources

Resolve conflicts between competing sources

Ensure lineage, data quality, and fitness for purpose

Ensure consistent use of authoritative data sources across analytics, reporting, and AI use cases.

Enterprise Data Competency

Institutionalize the enterprise data governance operating model, including:

Data ownership and accountability

Data steward roles and responsibilities

Management of key data elements and critical data assets

Embed data accountability into business processes across all lines of business.

AI Inventory, Classification & Streamlined Approvals

Own the enterprise inventory of AI initiatives across AI, GenAI, ML, and Agentic AI.

Ensure inventories, classifications, and definitions align with NIST AI Risk Management Framework and applicable regulatory expectations.

Design and operate streamlined, tiered approval processes for all AI types, ensuring:

Consistent intake and classification

Clear routing to required partners (e.g., Model Risk Management, Legal, Privacy, Security)

Predictable and efficient approval timelines

Monitor adherence to approval processes and continuously improve them to reduce friction and late-stage escalation.

Model Risk Management Partnership

Partner closely with the Model Risk Management (MRM) function.

Ensure AI and ML use cases are appropriately classified and routed to MRM where required.

Align governance standards and approval workflows with MRM requirements without duplicating or owning MRM accountabilities.

Data Quality & Data Incident Management

Define enterprise standards for data quality measurement, monitoring, and control.

Own enterprise processes for data issues and incidents, including root cause analysis, remediation tracking, and escalation.

Partner with business and platform teams to embed preventive and detective quality controls.

Regulatory Leadership & Proactive Engagement

Act as the single enterprise point of contact for regulators, audit, and external inquiries related to Data and AI.

Proactively assess emerging regulatory expectations and drive early alignment across the firm.

Coordinate and participate in all active regulatory efforts relating to data, technology, and AI, working with appropriate bank owners.

Lead regulatory examinations, findings, and remediation programs (e.g., BCBS 239, MRAs).

Ensure regulatory learnings are converted into durable governance and process improvements.

Enterprise Partnership & Operating Model Stewardship

Partner with:

Data Architecture to align governance intent with target architectures

Data & AI Platforms to embed controls, approvals, and authoritative sourcing

Enablement teams to operationalize compliant pathways

Business leaders to adopt governance consistently

Maintain independence from delivery while actively shaping enterprise design decisions.

Continuously evolve governance practices to match regulatory and technology change.

Salary Range:

$225,000 - $337,500 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

Read our CEO Statement

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.

Apply Now

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head of data architecture & ai jobs in boston, ma

Global Head of Data & AI Governance & Oversight, SVP

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