Senior AVP, Data Science & Strategy

Travelers Companies, Inc.; Hartford (CT); On-site; USD 192,000 - 316,000; Full time

Benefits offered by this job

Health Insurance

401(k) Matching

Paid Time Off

Job summary

Travelers seeks an AVP & Data Scientist to lead a team delivering advanced analytics and machine learning for strategic business decisions. You will partner with executives to communicate insights, drive adoption, and influence strategic direction across lines of business.

The role emphasizes cross-functional leadership, portfolio ownership, and building consensus to translate analytics into value while guiding platform and business stakeholders on model deployment and performance benchmarks.

Qualifications

• Master’s degree in STEM or equivalent required; advanced analytics preferred.
• 7+ years of experience with 6+ years leading teams in analytics or data science.
• Expertise in modeling, research, analytics or actuarial concepts; strong executive interaction.

Responsibilities

• Present analysis, insights, and recommendations to executives for decisions.
• Lead portfolio of projects and managers to influence business outcomes.
• Drive data science strategies and recruit/coach team members.
• Collaborate with enterprise stakeholders to benchmark models and measure performance.
• Ensure cost, latency, and quality trade-offs are considered across workloads.

Skills

Leadership experience

Executive communication

Statistics & ML

Statistical modeling

Team coordination

Python programming

Actuarial analytics

Education

Master’s degree in STEM related field or equivalent

Master’s degree in Statistics/Mathematics/Decision Sciences/Actuarial Science or related analytical STEM field

Tools

Claude

OpenAI

TravelersLLM

Job description

Travelers seeks an AVP & Data Scientist to lead a team delivering advanced analytics and machine learning for strategic business decisions. You will partner with executives to communicate insights, drive adoption, and influence strategic direction across lines of business.

The role emphasizes cross-functional leadership, portfolio ownership, and building consensus to translate analytics into value while guiding platform and business stakeholders on model deployment and performance benchmarks.