1

Avp Data Science Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

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 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:
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.

Senior Associate, Data Solutions Engineering

Fortitude Re

Jersey City, NJ • On-site

$110K - $150K/yr

Other

Posted 20 days ago


Job description

The Senior Associate, Data Solutions Engineering will be responsible for developing robust data pipelines, implementing data transformations and providing operational support, runbooks and documentation. This role will contribute to well-governed data solutions that automate application and data flows while enabling end-to-end processing on modern data platforms. This role places greater emphasis on independently designing solutions, proactively identifying optimizations, and mentoring junior team members. This role will report to the VP or AVP, Data Solutions Engineering.  

What You Will Do: 

  • Design and deliver strategic data solutions using modern data engineering principles per business requirements. 

  • Independently implement and optimize data ingestion/transformation jobs and deliver incremental datasets for downstream consumption. 

  • Champion automation and operate in an agile development environment while applying DevOps principles. 

  • Evaluate and improve existing data pipelines, recommending future-state architectures that increase scalability, performance, and maintainability.  

  • Collaborate across the function- partnering with data platform engineers, data governance, data science, and data analytics/visualization peers, to ensure solutions are robust, compliant, and reusable.  

  • Support and mentor early career professionals by sharing best practices and contributing to team knowledge.  

What You Will Have: 

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

  • Minimum experience of four years in programming (Python, Julia and/or R) and proficient in SQL. 
  • Understanding of ETL/ELT, cloud, data operations. 

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

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

  • Detail-oriented debugging and troubleshooting.

  • Excellent analytical, problem solving and conceptual skills.

  • Strong verbal and written communication skills.