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Head Of Data Ai Engineering Jobs (NOW HIRING)

Pivotal Health

$200 - $250/hr

Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven ... About the Role We are hiring Pivotal's Head of Data Engineering, an engineering leader who will own ...

Crosby

Head of Data

New York, NY · On-site

$220K - $375K/yr

About the role As Head of Data at Crosby, you'll play a critical role in defining and leading our ... Enable AI performance: Partner closely with ML and engineering teams to improve data quality ...

Pivotal Health

Head of Data Engineering

Brooklyn, NY · Remote

$230K - $260K/yr

Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven ... About the Role We are hiring Pivotal's Head of Data Engineering, an engineering leader who will own ...

Red Circle

Head of Data Engineering

Chicago, IL · On-site

$260K/yr

Head of Data Engineering Chicago, IL (Hybrid) Build the Team Behind the Platform At Hoodie ... Experience leveraging AI-assisted development and automation to help engineering teams move faster ...

Chubb

Head of Data Products, PRS

Simsbury, CT · On-site

$224K - $314K/yr

We are seeking a Head of Data Engineering for our Chubb North America Personal Lines Data team to ... You'll leverage your Mainframe and Data modernization, AI, engineering, technical, business and ...

Snorkel AI

Head of Data Quality

New York, NY · On-site

About the Role Snorkel AI is hiring a Head of Data Quality to build and own the quality system at ... The work most closely resembles a high-mix, engineered-to-order manufacturing line - with one ...

EVERFI

Head of Data Products

$160K - $175K/yr

... AI-generated insights, and data governance. Reporting to Everfi's SVP of Product, this role will ... Build trusted working relationships with Engineering, Customer Success, Marketing, Sales, and ...

TG Gallagher

Head of Data Architecture & AI

Waltham, MA · On-site

... Head of Data Architecture & AI . This role will lead our enterprise data, analytics, and AI ... Data Engineering & Infrastructure * Architect and manage cloud-native data platforms e.g. Snowflake ...

Seen Health

Head of Data

Los Angeles, CA · On-site +1

AI-native data engineering: architect the whole data stack - ingestion, orchestration, warehouse ... of knowledge that lives in someone's head - then use it to give leadership proactive, org-level ...

Scribe

Head of Data

San Francisco, CA · On-site

$230K - $275K/yr

We're looking for a leader to manage and scale the data analytics and data engineering teams, while ... Experience creating a step-function change in an organization's data strategy with the help of AI ...

Otsuka

Senior Director, Data and AI Engineer

$108K - $147K/yr

The Data and AI Engineering team will focus on establishing and enhancing Otsuka's Data and AI solutions foundations on top of the AI platform provided by Data and AI platform team in IT. This role ...

Clubhouse

Head of Data

$250K - $315K/yr

About us Alpha is a product studio focused on the intersection of AI and consumer social - backed ... S. The role As Head of Data at Alpha, you'll work closely with our CEO to help shape our strategy ...

Atlassian

Head of Data Engineering

San Francisco, CA · On-site +1

$134K - $162K/yr

... AI workloads. As the data domain specialist, you will partner with IT, data platform, product ... of experience leading data engineering teams, experience managing managers of managers, and ...

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Head Of Data Ai Engineering information

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How much do head of data ai engineering jobs pay per year?

As of Sep 9, 2026, the average yearly pay for head of data ai engineering in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

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For Head Of Data Ai Engineering jobs, the most frequently searched job titles are:

Infographic showing various Head Of Data Ai Engineering job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

Global Head of Data & AI Governance & Oversight, SVP

Boston, MA • On-site

State Street Corporation
Finance and Insurance • 10K+ employees
Learn more about State Street Corporationexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 3 days ago. Applications are no longer accepted.

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.
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About State Street

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State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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