AVP Applied AI

The Hartford; Hartford (CT); Hybrid; USD 182,400 - 273,600; Full time

Job summary

The Hartford is seeking an Assistant Vice President (AVP) of Data Science to lead complex Applied AI initiatives. This role requires strong experience in managing AI portfolios, ensuring solutions meet business objectives, and driving compliance across teams. Candidates should have at least 12 years of experience with a Bachelor's degree, or a Master’s/Ph.D. in Machine Learning or related fields preferred. The role offers a hybrid work schedule in Hartford and competitive compensation ranging from $182,400 to $273,600 annually.

Qualifications

• 12+ years of applicable experience with a Bachelor’s degree; fewer years may be accepted with a higher degree.
• 7–10+ years of experience leading large portfolios or complex programs.

Responsibilities

• Own delivery of Applied AI portfolios across multiple teams.
• Ensure AI solutions deliver measurable business value.
• Lead and develop Sr. Directors and Directors.
• provide technical direction and oversight for AI solutions.
• Accountable for portfolio-level AI governance and compliance.
• Partner with senior leaders across various departments.

Skills

Leading large, complex Applied AI portfolios

Building leadership capacity

Technical and regulatory fluency in applied AI

Understanding of unstructured data and retrieval approaches

AI governance and compliance practices

Translating strategy into execution

Influencing senior partners

Education

Bachelor’s degree (12+ years experience)

Master’s or Ph.D. in relevant field

Job description

AVP Data Science - GD05AE

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.

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford’s Business Insurance. This role partners closely with underwriting, product, actuarial, and technology leaders to deliver scalable, production-ready models and AI-driven decision systems that support complex risks, bespoke products, and profitable growth across specialty markets.

This role will have a Hybrid work schedule, with the expectation of working in an office (Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week.

Candidates must be eligible to work in the US without company sponsorship.

Primary Job Responsibilities

• Own delivery, performance, and risk outcomes for one or more large, complex Applied AI portfolios spanning multiple teams, domains, or lines of business. Translate enterprise and business‑unit AI priorities into multi‑year portfolio roadmaps and investment plans.
• Ensure applied AI solutions deliver measurable business value while meeting standards for security, reliability, explainability, fairness, safety, and cost efficiency across solution types including generative and agentic AI, retrieval‑augmented systems, forecasting, recommendation systems, anomaly or fraud detection, and multimodal use cases.
• Lead and develop Sr. Directors and Directors. Build leadership bench strength through succession planning, coaching, and capability development. Ensure consistent application of the Applied AI operating model, decision rights, delivery discipline, and escalation paths across the portfolio. Reinforce shared expectations for quality, evaluation rigor, and production readiness.
• Provide portfolio‑level technical direction and rigorous oversight, partnering closely with Principal ICs, Architecture, AI Platform, and Centers of Excellence. Ensure consistent adoption of approved AI standards, patterns, and guardrails.
• Review and thoughtfully evaluate portfolio‑level architectural choices, evaluation approaches, production readiness, and operational risk signals, guiding leaders through disciplined trade‑offs across quality, grounding, latency, cost, scalability, and regulatory risk.
• Accountable for consistent application of evaluation and monitoring practices across the portfolio. Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and customer or operational KPIs. Oversee governance of metric taxonomies, thresholds, validation evidence, gold and synthetic test sets, A/B testing practices, drift detection, failure‑mode analysis, and incident response expectations. Ensure evaluation results inform prioritization, release decisions, and risk management at the executive level.
• Set portfolio‑level expectations and governance for unstructured data and retrieval practices, including document ingestion pipelines, parsing, OCR, layout‑aware extraction, metadata and lineage management, access controls, PII detection and redaction, and auditability. Ensure retrieval strategy decisions, including embedding approaches, hybrid and dense retrieval patterns, reranking, grounding validation, and multilingual considerations, align with enterprise standards and regulatory requirements.
• Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ensuring governance artifacts, controls, escalation paths, and operational evidence are consistently established and enforced. Escalate material risks, trade‑offs, and investment decisions to VPs with clear options and implications.
• Partner with senior leaders across Product, Technology, Operations, Claims, Underwriting, Finance, and HR to align Applied AI delivery with business outcomes. Influence portfolio funding, prioritization, and workforce planning through evidence‑based assessments of delivery performance, evaluation outcomes, and risk considerations.
• Oversee portfolio‑level planning, dependencies, resourcing, and financial stewardship. Adjust plans to address shifting priorities, capacity constraints, emerging technical risks, or regulatory changes. Drive continuous improvement in delivery effectiveness, operational resilience, governance maturity, and value realization across the Applied AI portfolio.

Skills

• Demonstrated experience leading large, complex Applied AI portfolios in regulated enterprise environments.
• Proven ability to lead Sr. Directors and Directors, building durable leadership capacity and consistent operating discipline across organizations.
• Strong technical and regulatory fluency across applied AI, including generative and agentic AI, retrieval‑augmented systems, evaluation and monitoring practices, and production AI operations, sufficient to review, inform, and govern senior‑level decisions.
• Applied understanding of unstructured data and retrieval approaches, including document ingestion pipelines, OCR, layout‑aware extraction, embeddings, hybrid and dense retrieval, reranking, metadata and lineage management, and PII controls.
• Deep familiarity with AI governance, model risk management, responsible AI practices, and compliance‑by‑design expectations.
• Demonstrated success translating strategy into coordinated execution and investment decisions across multiple teams over multi‑year horizons.
• Ability to influence VPs and senior partners through clear, data‑driven communication of technical trade‑offs, evaluation outcomes, portfolio risks, and business impact.

Education, Experience, Certifications And Licenses

• 12+ years of applicable experience with a Bachelor’s degree; fewer years may be accepted with a higher degree. Master’s or Ph.D. preferred in Machine Learning, Applied Mathematics, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation.
• 7–10+ years leading leaders, large portfolios, or complex programs.

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:

$182,400 - $273,600

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