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The Hartford

AVP AI Governance

The Hartford, Windsor, Connecticut, us, 06006

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AVP Strategic Initiatives - NS05AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Position Overview

The Hartford is seeking an experienced Assistant Vice President of AI Governance to lead the strategic development and implementation of comprehensive AI lifecycle frameworks. This role will ensure consistent execution of AI projects while maintaining safety, compliance, and regulatory adherence across the organization. The AVP will be instrumental in establishing governance structures that balance innovation velocity with risk management across diverse AI implementation scenarios and will continue refining and adapting the framework as AI technologies and regulatory expectations evolve.

Primary Accountability

Lead the development of comprehensive AI lifecycle frameworks encompassing activities, risk assessments, and approval processes that enable consistent AI project execution while ensuring safety and compliance with regulatory expectations. Drive the creation of differentiated governance approaches for various AI scenarios and risk profiles.

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations (Hartford, CT preferred) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Must be eligible to work without company sponsorship.

Key Responsibilities:

AI Lifecycle Development & Framework Design

Develop AI Lifecycle process for various AI project types: Design and implement lifecycle frameworks for internally built AI solutions, 3rd party AI models, and productivity platform use cases

Risk-Based Differentiation: Create tiered governance approaches based on risk levels, including low-risk self-service paths and high-risk comprehensive review processes

Cross-Functional Integration: Partner with Data & AI organization, CIO, Architecture, SSRE, Legal, Compliance, ERM and Third-Party Risk teams to ensure comprehensive lifecycle coverage

Governance Process Implementation

Approval Process Design: Evolve Gen AI review board process

Checkpoint Implementation: Define and implement multiple governance checkpoints with clear governing criteria for each stage

Documentation Standards: Lead the development of comprehensive documentation requirements, reference guides, and alignment to existing policies, standards, and controls

GCP Integration: Integrate AI governance frameworks with Google Cloud Platform services and other enterprise platforms

Oversee the vendor selection and implementation of an AI Governance system, to instrument the AI life cycle activities and signoffs and manage the inventory and AI portfolio reporting

Knowledge Management & Enablement

Knowledge Hub Creation: Build and maintain a centralized repository of AI governance resources, best practices, and guidance materials

Process Instrumentation: Implement measurement and tracking systems for governance process effectiveness and adoption

Change Management: Lead organizational change initiatives to drive adoption of AI governance frameworks across business units

Compliance & Risk Management

Regulatory Alignment: Ensure AI governance frameworks meet current and emerging regulatory requirements, partnering with legal and compliance

Risk Assessment: Develop and maintain risk identification processes and automated approval pathways for appropriate use cases, in partnership with ERM and other risk governors

Vendor Management: Create governance frameworks for third-party AI solutions and ensure routines are implemented to achieve regulatory compliance

Performance & Value Tracking

Adoption Metrics: Establish and monitor key performance indicators for governance framework adoption and effectiveness

Value Measurement: Develop methodologies to track and report on the business value delivered through governed AI implementations

Continuous Improvement: Drive iterative enhancement of governance processes based on feedback and performance data

Qualifications

Bachelor's degree required; Master's degree in Business, Technology, Risk Management, or related field preferred

15+ years of experience in governance functions, risk management, AI\ML operations or technology program management

5+ years experience with AI/DS/ML projects

Demonstrated experience partnering with Legal, Compliance, and Risk Management functions and building governance frameworks

Strong understanding of AI/ML technologies and associated governance challenges

Technical Competencies

Deep understanding of AI/ML technologies, deployment models, and associated risks

Experience with cloud platforms (preferably GCP) and enterprise technology governance a plus

Knowledge of regulatory frameworks relevant to AI (e.g. NAIC, NIST, Google SAIF)

Familiarity with risk management frameworks and compliance processes

Preferred Qualifications

Experience with agile governance approaches and DevOps integration

Background in insurance, financial services, healthcare, or other highly regulated industries

Prior experience with AI ethics and responsible AI frameworks

Prior experience with process optimization and change management in complex environments

Key Competencies

Proven track record of leading cross-functional initiatives and driving organizational change

Cross-functional collaboration, strong partnership and stakeholder management

Excellent communication and stakeholder management skills

Ability to translate complex technical concepts into business-relevant governance requirements

Strong analytical and problem-solving capabilities

Experience building and scaling governance processes in dynamic, fast-paced environments

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$176,000 - $264,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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Every day, a day to do right.

Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.

Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?

That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.

And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.

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