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Avp Data Science Jobs (NOW HIRING)

The AVP Data Product Manager role is responsible for managing data solutions that enhance the Bank ... science, or data engineering role, including direct experience in technical product management and ...

AVP, Data Engineering

Warren, NJ

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest ... Bachelor's degree in Computer Science, Engineering, Business, or a related field. * 8+ years of ...

AVP, Data Engineering

Warren, NJ

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest ... Bachelor's degree in Computer Science, Engineering, Business, or a related field. * 8+ years of ...

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest ... Bachelor's degree in Computer Science, Engineering, Business, or a related field. * 8+ years of ...

AVP, Technical Data Analyst

Warren, NJ · Hybrid

$175K - $210K/yr

Title: AVP, Technical Data Analyst Company: Everest Insurance Company Job Category: Technology ... Bachelor's degree in finance, Statistics, Mathematics, Computer Science, MIS, or a related field ...

... data science, machine learning, and AI. Reporting directly to the Chief Technology Officer, this ... In this role, the AVP, Data ensures that Vibrant's analytics infrastructure, machine learning ...

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, Technical Data Analyst

Warren, NJ · On-site

$175K - $210K/yr

Title: AVP, Technical Data Analyst Company: Everest Insurance Company Job Category: Technology ... Bachelor's degree in finance, Statistics, Mathematics, Computer Science, MIS, or a related field ...

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, Technical Data Analyst

Warren, NJ · Hybrid

$175K - $210K/yr

Title: AVP, Technical Data Analyst Company: Everest Insurance Company Job Category: Technology ... Bachelor's degree in finance, Statistics, Mathematics, Computer Science, MIS, or a related field ...

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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 Aug 4, 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 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?

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.
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 July 2026, with employment types broken down into 4% Locum Tenens, 22% Internship, 72% Full Time, 1% Part Time, and 1% Summer. Highlights an 80% Physical, 12% Hybrid, and 8% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Full-time

Re-posted 12 days ago


Alignment Healthcare rating

7.3

Company rating: 7.3 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

235th of 301 rated insurance


Job description

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.
**This role is remote, but must be able to work PST hours.**
The Associate Vice President (AVP), Data Science & Analytics - Medicare Quality, is a senior leadership role responsible for the strategy and execution of advanced analytics that drive quality performance for the Star Ratings Program. This role is ideal for a senior-level data scientist with deep experience in healthcare quality measurement, predictive modeling, and data-driven strategy.
This individual will serve as the principal architect of the organization's Star Ratings analytics ecosystem, responsible for developing predictive models, generating actionable insights, and shaping the data strategies that directly influence quality outcomes. This role requires a leader who blends hands-on data science expertise with strategic vision, acting as both a primary technical authority and a key business advisor.
The AVP will work closely with leaders across clinical, business, and operational departments to translate complex data science findings into effective business interventions. This includes owning forecasting models, leading exploratory analysis to uncover new performance levers, and mentoring a team of analytics professionals to ensure technical and strategic excellence.
Job Duties/Responsibilities:
Data Modeling & Strategy:
Lead the design, development, and continuous refinement of advanced statistical and machine learning models to predict and optimize performance on the Star Ratings Program.
Own the technical roadmap for the analytics platform, ensuring it supports current and future analytical needs.
Actionable Insight Generation:
Translate model outputs and complex datasets into actionable member, provider, and measure-level insights.
Partner with cross-functional teams to embed these insights into clinical outreach, population health, and member engagement workflows to guide targeted interventions.
Forecasting & Performance Monitoring:
Own the end-to-end development of forecasting models for the Star Ratings Program, including the design of risk-adjusted simulations.
Develop and maintain performance monitoring tools and dashboards to track and measure performance at all organizational levels.
Subject Matter Expertise & Compliance:
Serve as the organization's senior data science subject matter expert on all Star measures (e.g., HEDIS, CAHPS, HOS, Part D).
Translate complex CMS methodology into technical data requirements and support regulatory reporting and CMS audit readiness through rigorous data validation.
Executive & Cross-Functional Partnership:
Serve as the primary analytics partner to clinical, quality, and business leaders, helping them interpret data and make informed decisions.
Present complex data science findings and model outcomes to executive audiences, clearly communicating the connection to business objectives and strategic value.
Team Leadership & Development:
Lead and mentor a dedicated team of data scientists and analysts.
Promote best practices in statistical modeling, coding, data wrangling, and visualization to foster a culture of technical excellence and data-driven inquiry.
Other Duties as Assigned
Job Requirements:
Experience:
  • Required:

  • Minimum 10+ years data science, data engineering, or a related field, with a proven track record of designing and executing large-scale, complex data solutions.

  • Significant experience in a leadership capacity, with demonstrated ability to set technical vision and manage teams.

  • In-depth knowledge of the healthcare industry, specifically Medicare Advantage and the CMS Star Ratings System.

  • Expert-level proficiency with modern data architecture principles, including cloud platforms (Azure), data warehousing, data lakes, and ETL/ELT processes.

  • Demonstrated experience establishing and managing data governance and data quality programs.

  • Strong understanding of data security and compliance requirements in a healthcare context.

  • Preferred:

  • 10+ years' experience in Medicare Advantage Plans

  • 10+ years' experience in a technical leadership position in a healthcare environment

Education:
  • Required: Bachelor's degree in Health Informatics, Computer Science, Data Science, Business Analytics or related quantitative field.

  • Preferred: Master's degree in one of the above fields

Specialized Skills:
Required:
  • Technical & Domain Expertise

  • Healthcare & Stars Domain Knowledge: Required understanding of Medicare Advantage, the CMS Star Ratings Program, HEDIS measures, CAHPS/HOS surveys, and pharmacy data (PDE).

  • Advanced Modeling & Statistical Strategy: The ability to direct and apply sophisticated statistical and machine learning methods to solve critical business problems. This includes overseeing model selection, validation, and interpreting results to guide high-level strategic decisions.

  • Analytical Data Architecture & Engineering: Oversight of the data preparation process, including the strategic design of datasets, advanced feature engineering, and ensuring the integrity of the data used for all modeling and reporting.

  • Technical Leadership & Implementation: Expert-level proficiency in Python and advanced SQL, with the ability to set and enforce best practices for coding, analytical rigor, and reproducibility across the team and its projects.

  • Leadership & Communication

  • Executive Translation: The ability to distill highly complex data concepts, challenges, and technical jargon into clear, concise summaries. Must be able to articulate the business value and strategic implications of 'technical' decisions to non-technical executives and stakeholders.

  • Strategic Thinking: Capacity to develop a long-term vision and roadmap that aligns with business objectives, anticipates future CMS regulatory changes, and scales with organizational growth.

  • Stakeholder Management & Influence: Proven ability to build consensus and foster strong relationships with a diverse range of stakeholders, including clinical leaders, business executives, IT teams, and compliance officers.

  • Thought Leadership & Mentorship: The ability to lead through influence, mentor technical staff, and champion best practices to elevate the data capabilities of the entire organization.

  • Problem-Solving: A pragmatic approach to deconstructing complex business and operational problems and designing effective, sustainable technical solutions.

Essential Physical Functions:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms.
2. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.
Pay Range: $149,882.00 - $224,823.00
Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.
Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.
*DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email careers@ahcusa.com.

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