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Avp Data Science Jobs (NOW HIRING)

Everest

AVP, AI Product Owner

New York, NY · Hybrid

$152K - $202K/yr

Bachelor's degree in Business, Technology, Data Science, or a related field (MBA preferred). * 6+ years of experience in Product Ownership, Business Analysis, or related roles. * Strong domain ...

Everest

AVP, AI Product Owner

Warren, NJ · Hybrid

$152K - $202K/yr

Bachelor's degree in Business, Technology, Data Science, or a related field (MBA preferred). * 6+ years of experience in Product Ownership, Business Analysis, or related roles. * Strong domain ...

Everest Re Group

AVP, AI Product Owner

New York, NY · Hybrid

$152K - $202K/yr

Bachelor's degree in Business, Technology, Data Science, or a related field (MBA preferred). * 6+ years of experience in Product Ownership, Business Analysis, or related roles. * Strong domain ...

Everest Re Group

AVP, AI Product Owner

Warren, NJ · Hybrid

$152K - $202K/yr

Bachelor's degree in Business, Technology, Data Science, or a related field (MBA preferred). * 6+ years of experience in Product Ownership, Business Analysis, or related roles. * Strong domain ...

Everest Insurance

AVP, AI Product Owner

Warren, NJ · On-site

$152K - $202K/yr

Bachelor's degree in Business, Technology, Data Science, or a related field (MBA preferred). * 6+ years of experience in Product Ownership, Business Analysis, or related roles. * Strong domain ...

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field. * 5-8 + years ...

Humana

AVP Agent Assist

Louisville, KY · On-site

Partner withAIPlatform team,Product, UX, and Data Science as a technical stakeholder in roadmap and ... Why This Role Matters This AVP role is critical in delivering a transformative customer experience ...

Humana

AVP Agent Assist

Louisville, KY · On-site

Partner withAIPlatform team,Product, UX, and Data Science as a technical stakeholder in roadmap and ... Why This Role Matters This AVP role is critical in delivering a transformative customer experience ...

Humana, Inc.

AVP Agent Assist

Louisville, KY · On-site

Partner with AI Platform team, Product, UX, and Data Science as a technical stakeholder in roadmap ... Why This Role Matters This AVP role is critical in delivering a transformative customer experience ...

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All JobsAvp Data Science Jobs

Avp Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do avp data science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for avp data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by an AVP of Data Science when aligning data initiatives with business goals?

As an AVP of Data Science, one of the key challenges is ensuring that complex data projects remain closely aligned with evolving business objectives. Balancing technical innovation with practical, actionable outcomes often requires clear communication between data teams and business stakeholders. Navigating organizational silos, managing competing priorities, and translating analytical findings into business impact are critical components of the role. Successful AVPs frequently foster cross-functional collaboration and maintain a strategic perspective to maximize the value of data-driven initiatives.

What does an AVP of Data Science do?

An AVP (Assistant Vice President) of Data Science leads data science teams and projects within an organization, typically overseeing the development of data-driven solutions to support business objectives. They are responsible for setting the strategy for data analysis, managing team members, collaborating with stakeholders, and ensuring high-quality delivery of analytics and machine learning initiatives. The AVP also plays a key role in identifying opportunities to leverage data for business growth, implementing best practices, and staying updated on the latest technologies in data science.

What is an AVP in data science?

An AVP (Assistant Vice President) in data science is a senior leadership role responsible for overseeing data projects, developing strategies, and managing teams of data scientists and analysts. The position often requires strong technical skills, experience with data tools like Python or R, and leadership abilities to align data initiatives with business goals.

What is the salary of AVP data scientist?

The salary for an AVP Data Scientist at JP Morgan typically ranges from $120,000 to $160,000 annually, depending on experience, location, and specific team. Additional compensation may include bonuses and benefits, and the role often requires proficiency in data analysis tools and programming languages like Python or R.

What is the difference between Avp Data Science vs Data Scientist?

AspectAvp Data ScienceData Scientist
Required CredentialsAdvanced degree (Master's/PhD), experience in leadership rolesBachelor's or Master's in relevant field, some experience
Work EnvironmentStrategic, managerial, cross-departmental collaborationHands-on data analysis, model development, coding
Employer & Industry UsageFinancial services, tech, consulting firms, often in leadershipTech companies, startups, research institutions
Common Search & ComparisonHigher-level strategic role, leadership focusTechnical, analytical role, implementation focus

In summary, an Avp Data Science typically holds a senior leadership position with strategic responsibilities and requires advanced credentials, whereas a Data Scientist is more focused on technical analysis and model development. The roles differ mainly in scope, experience, and level of responsibility within organizations.

What are the key skills and qualifications needed to thrive as an AVP Data Science, and why are they important?

To thrive as an AVP Data Science, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a master’s or PhD in a quantitative field and several years of relevant experience. Familiarity with programming languages like Python or R, big data platforms (e.g., Hadoop, Spark), and experience with data visualization tools and cloud technologies are commonly required. Strong leadership, strategic thinking, and communication skills set top candidates apart by enabling them to guide teams and explain complex findings to stakeholders. These skills and qualities are crucial for driving data-driven decision-making and delivering business value through analytics.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or data subsets to improve model performance efficiently.
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Avp Data Science jobs near you
AVP - Advanced Analytics & AI Strategy - Insurance

AVP - Advanced Analytics & AI Strategy - Insurance

Berkley

Scottsdale, AZ • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Company Details
Vela Insurance Services provides specialized Excess and Surplus Lines Casualty and Professional Liability insurance solutions in the following market segments: Construction, Specialty Casualty, & Professional Liability. We offer national service and local knowledge to our exclusive wholesale broker network and the businesses they serve.
Responsibilities
Based in either our Scottsdale, AZ or Chicago, IL offices, the AVP, Advanced Analytics & AI Strategy is the strategic and technical leader responsible for advancing AI-driven intelligence across underwriting, claims, and operations to transform portfolio decision-making into a data-driven, co-intelligence platform that delivers optimal, risk-adjusted returns.
Reporting to the Chief Actuary, this role partners closely with the Senior Leadership Team, including the President, CUO, Underwriting Segment Leaders, CAO, and CCO, to co-create analytics-enabled portfolio strategies that balance growth and profitability and support shared accountability for portfolio-level P&L outcomes.
The AVP leads a team responsible for the development and deployment of advanced analytics, machine learning, and intelligence solutions that inform portfolio segmentation, pricing adequacy, claim severity management, and operational efficiency.
This role ensures insights are operationalized into underwriting, claims, and portfolio levers that strengthen discipline, improve outcomes, and enable deliberate portfolio optimization across market cycles.
This position requires a hands-on data science leader and change agent who drives adoption of intelligent tools, shapes enterprise AI strategy, and fosters a culture of disciplined, data-driven decision-making.
The AVP, Advanced Analytics & AI Strategy plays a critical role in defining and scaling the future of analytics across Vela.
Leadership & Strategy
  • Lead the team in the design, deployment, and continuous improvement of intelligence solutions that deliver measurable outcomes across underwriting, claims, and operations.
  • Develop and execute the analytics roadmap, including structured and unstructured data integration, variable selection, and alignment with Vela's strategic priorities.
  • Partner with the Senior Leadership Team to support portfolio oversight and optimize risk-adjusted returns through analytics-driven insights.
  • Oversee the integration of intelligence into core underwriting and claims workflows, ensuring full leverage of Kalepa, Helix, and enterprise data assets.
  • Champion adoption of data-driven decision-making through effective change management and stakeholder engagement.
Underwriting & Claim Intelligence
  • Partner with Underwriting to design, validate, and refine risk factors embedded within underwriting intelligence platforms to improve portfolio performance.
  • Enhance risk scoring, pricing precision, portfolio targeting, and underwriting dashboards to support disciplined and profitable risk selection at both the risk and portfolio level.
  • Partner with the CCO to advance claim analytics focused on handling efficiency, reserving accuracy, and claim settlement outcomes.
  • Deliver insights on claim trends, early warning indicators, fraud detection, and leakage to inform underwriting, claims, and portfolio strategy.
Reporting, Insights & Portfolio Management
  • Advance portfolio management capabilities to support capital objectives, including the refinement of AI-enabled, rules-based engines.
  • Enable dynamic portfolio management through continuous, forward-looking adjustment of risk selection, pricing, appetite and capacity based on risk insights and market conditions.
  • Establish dynamic underwriting audits at the individual risk and portfolio level.
  • Provide senior leadership with clear, timely insights to support portfolio optimization and strategic decision-making.
Operational Excellence & AI Enablement
  • Lead advanced analytics and machine learning initiatives, including model development, monitoring, recalibration, and continuous improvement.
  • Build scalable intelligence capabilities that embed feedback loops into execution in partnership with EsTech, BTS, and DNA teams at Berkley.
  • Drive operational efficiency by identifying process gaps, optimizing workflows, and implementing automation and intelligence solutions.
  • Identify, prioritize, and develop AI use cases, including actionable prompts and intelligence tools that improve speed, quality, and consistency of execution.
  • Partner with enterprise technology and data teams to ensure data quality, accessibility, architectural alignment, and adherence to enterprise standards.

Qualifications
  • Bachelor's or Master's degree in Data Science, Statistics, Actuarial Science, Computer Science, Engineering, or related quantitative field
  • 7-10+ years of experience applying data science, advanced analytics, or AI/ML in an insurance environment, with demonstrated impact on underwriting, claims, pricing adequacy, and portfolio performance
  • Proven leadership experience building or managing analytics, data science, or operational-efficiency teams.
  • Expertise in SQL, Python, machine learning frameworks, and modern data platforms (e.g., Databricks, cloud-based analytics environments).
  • Strong understanding of underwriting, claims, risk modeling, or actuarial concepts preferred.
  • Experience with dashboarding and reporting tools such as Power BI.
  • Demonstrated ability to translate business needs into analytical solutions and communicate complex concepts to non-technical stakeholders.
  • Track record of driving change management, influencing cross-functional teams, and implementing new technologies or processes.
  • Strong problem-solving, critical-thinking, and strategic-planning skills, with the ability to operate both hands-on and at an enterprise-strategy level.

The Company is an equal employment opportunity employer.
Additional Company Details
We do not accept any unsolicited resumes from external recruiting firms.
The company offers a competitive compensation plan and robust benefits package for full time regular employees which for this role include:
• Base Salary Range: $175,000 - $200,000
• Eligible to participate in annual discretionary bonus.
• Benefits: Health, Dental, Vision, Life, Disability, Wellness, Paid Time Off, 401(k) and Profit-Sharing plans.
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Sponsorship Details
Sponsorship not Offered for this Role

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