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Avp Data Science Jobs (NOW HIRING)

Fortitude Re

AVP, Data Solutions Engineering

Nashville, TN · Hybrid

$110K - $132K/yr

Deliver well-architected data solutions in partnership with data platform engineers, data governance, data science, and data analytics/visualization peers. * Partner with business teams to design ...

Fortitude Re

AVP, Data Solutions Engineering

Jersey City, NJ · Hybrid

$119K - $143K/yr

Deliver well-architected data solutions in partnership with data platform engineers, data governance, data science, and data analytics/visualization peers. * Partner with business teams to design ...

Fortitude Re

AVP, Data Solutions Engineering

Jersey City, NJ · Hybrid

$119K - $143K/yr

Deliver well-architected data solutions in partnership with data platform engineers, data governance, data science, and data analytics/visualization peers. * Partner with business teams to design ...

Chubb

AVP, Lead Data Scientist

Simsbury, CT · On-site

The candidate should have 7+ years of industry experience in data science and analytics. Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics ...

CVS Health

Senior Data Scientist, Products

Albany, NY · On-site

... Director, AVP). • You'll set technical direction for your workstream, mentor junior data ... Required : • 5+ years of data science experience, with at least 2 years in financial services ...

Inizio Partners

Gen AI Architect (AVP)

Phoenix, AZ · Hybrid

Gen AI Architect (AVP) Phoenix, Arizona, United States About the Job Gen AI Architect (AVP) Job ... You will collaborate closely with data science, technology, and business teams to identify ...

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Avp Data Science information

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$37.5K

$122.7K

$196.5K

How much do avp data science jobs pay per year?

As of Jun 5, 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 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 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 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.

More about Avp Data Science jobs
What cities are hiring for Avp Data Science jobs? Cities with the most Avp Data Science job openings:
What states have the most Avp Data Science jobs? States with the most job openings for Avp Data Science jobs include:
What job categories do people searching Avp Data Science jobs look for? The top searched job categories for Avp Data Science jobs are:
Avp Data Science jobs near you
Infographic showing various Avp Data Science job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 81% Physical, 10% Hybrid, and 9% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

AVP, Data Solutions Engineering

Fortitude Re

Nashville, TN • Hybrid

$110K - $132K/yr

Other

Posted 21 days ago

Job description

The Assistant Vice President, Data Solutions Engineering will be responsible for building operational data pipelines and delivering fully documented datasets that account for data integrations. This role is engaged and aligned with our business partners to understand their needs and build data engineering solutions to address these needs. The role will report to the VP, Data Solutions Engineering.  

This role will be based in our Nashville, TN office on a hybrid basis.

What You Will Do: 

  • Deliver well-architected data solutions in partnership with data platform engineers, data governance, data science, and data analytics/visualization peers. 

  • Partner with business teams to design data solutions with the ability to mentor early career data engineers.  

  • Lead build-out and deployment of data pipelines. 

  • Ensure reliability, scalability and governance of data pipelines. 

What You Will Have: 

  • Bachelor's degree in Math, Computer Science or Engineering. 

  • Minimum experience of seven years in a growing data engineering role, with at least five years in programming (Python) and SQL. 

  • Domain knowledge of Actuarial, Investment and Finance within Insurance/Reinsurance industry is a plus. 

  • Strong understanding of ETL/ELT, APIs, Cloud, data operations.

  • Robust knowledge of data lakes, data governance and modern data quality techniques. 

  • Excellent analytical, problem solving and conceptual skills. 

  • Strong verbal and written skills. 

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