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Vp Of Data Science Jobs in Florida (NOW HIRING)

VP, Data

Bradenton, FL · On-site

$180 - $280/hr

The VP owns the strategy, execution, and evolution of the enterprise data roadmap, overseeing data infrastructure, business intelligence, analytics, and data science capabilities that enable ...

VP, Data (Bradenton)

Bradenton, FL · On-site

$125K - $160K/yr

The VP owns the strategy, execution, and evolution of the enterprise data roadmap, overseeing data infrastructure, business intelligence, analytics, and data science capabilities that enable ...

VP of Operations

Jacksonville, FL · On-site

$186K - $225K/yr

VICE PRESIDENT OF OPERATIONS Job Details Summary: The Vice President of Operations is responsible for leading, directing, and overseeing the operational capabilities and output of all multi-state ...

What You'll Do Revenue & Data-Driven Growth * Own amusement revenue and P&L performance, tracking yield, utilization, and margin across locations. * Partner with the SVP of Revenue Management ...

What You'll Do Revenue & Data-Driven Growth * Own amusement revenue and P&L performance, tracking yield, utilization, and margin across locations. * Partner with the SVP of Revenue Management ...

VP Of Business Operations Golden Child is redefining pet nutrition through an uncompromising focus ... You will own its execution and integration, partnering with Engineering and Data Science on ...

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Showing results 1-20

Vp Of Data Science information

See Florida salary details

$31K

$106.5K

$150.2K

How much do vp of data science jobs pay per year?

As of Aug 27, 2026, the average yearly pay for vp of data science in Florida is $106,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $124,400.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science is a senior executive responsible for leading an organization's data science strategy and teams. They oversee the development and implementation of data-driven solutions, manage data scientists and analysts, and collaborate with other business leaders to leverage data for strategic decision-making. Their role often includes setting the vision for data initiatives, ensuring the use of best practices in analytics and machine learning, and driving innovation through data. Additionally, they are responsible for aligning data science projects with overall business goals and ensuring measurable impact.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need deep expertise in statistical modeling, machine learning, and data analytics, backed by an advanced degree in a quantitative field and substantial leadership experience. Familiarity with tools such as Python, R, SQL, cloud platforms, and data visualization systems, as well as experience with data governance frameworks, is typically required. Exceptional communication, strategic vision, and the ability to mentor and lead cross-functional teams are vital soft skills in this role. These skills ensure the effective translation of data-driven insights into business strategies and foster innovation and alignment within the organization.

What are some common challenges faced by a VP of Data Science when leading cross-functional teams?

A VP of Data Science often navigates challenges such as aligning data science initiatives with business goals, managing expectations across departments, and fostering effective communication between technical and non-technical stakeholders. Balancing the need for innovation with practical deliverables can be complex, especially when integrating data-driven insights into existing business processes. Successful VPs build strong relationships with product, engineering, and executive teams to ensure that data science projects deliver measurable value and support organizational growth.

What is the difference between Vp Of Data Science vs Data Science Manager?

AspectVp Of Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project execution, mentoring data scientists
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data science and leadershipRelevant experience in data science, leadership skills, often a master's degree
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningOperational, project-focused, team management within data science teams

The Vp Of Data Science holds a senior leadership role focused on strategic direction and organizational impact, while a Data Science Manager concentrates on managing teams and executing projects. Both roles require strong technical backgrounds, but the Vp's scope is broader, involving high-level decision-making and cross-functional collaboration.

How much does a VP of data science make?

A VP of Data Science typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on company size, industry, location, and experience, and the role requires strong leadership, advanced analytics skills, and experience with data tools and teams.

What are the most commonly searched types of Of Data Science jobs in Florida?

The most popular types of Of Data Science jobs in Florida are:

What are popular job titles related to Vp Of Data Science jobs in Florida?

For Vp Of Data Science jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Vp Of Data Science jobs?

Cities in Florida with the most Vp Of Data Science job openings:

Infographic showing various Vp Of Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,460 per year, or $51.2 per hour.

VP, Data

Bradenton, FL • On-site


IMG Academy
Spectator Sports • 501 - 1,000 employees

6.6

Company rating: 6.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

6th of 24 rated private schools and tutoring

People enjoy working here

Respectful managers

Good training


$180 - $280/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

About IMG Academy
IMG Academy is the world’s leading sports education brand, providing a holistic education model that empowers student-athletes to win their future while preparing them for college and for life. IMG Academy has been nationally recognized by organizations including Sports Business Journal, USA Today, and the Best and Brightest Companies to Work For for its workplace culture, innovation, and commitment to developing people both on and off the field.

IMG Academy provides growth opportunities for student-athletes and partners through an innovative suite of on-campus and online experiences:

  • Boarding school and camps, delivered on a state-of-the-art campus in Bradenton, Florida
  • Online coaching through IMG Academy+, focused on personal development through the lens of sport and performance
  • Online college recruiting through NCSA College Recruiting and SportsRecruits, providing industry-leading recruiting education, tools, and access to a network of more than 40,000 college coaches for student-athletes, families, club coaches, and event operators
  • Elevate by IMG Academy, a performance and personal development solution that delivers mindset, leadership, and wellbeing programming to schools, colleges, and organizations through a combination of digital content and immersive experiences

Position Summary

As the Vice President, Data, you will lead transformative initiatives across omnichannel customer technology, enterprise data, analytics, and data science. Reporting directly to the SVP of Product, Data & Commercial Technology, this role is responsible for driving customer engagement, revenue growth, operational efficiency, and digital transformation across a multi-brand enterprise serving both B2B and B2C customers.

The VP owns the strategy, execution, and evolution of the enterprise data roadmap, overseeing data infrastructure, business intelligence, analytics, and data science capabilities that enable personalized customer experiences, data-driven decision-making, and scalable business growth. This leader will also build, develop, and inspire high-performing teams while fostering a culture of innovation and engineering excellence.

You will lead two key functions:

  • Data Engineering & Business Intelligence: Responsible for modernizing enterprise data infrastructure, data platforms, governance, and business intelligence engineering.
  • Data Science & Analytics: Responsible for advanced analytics, machine learning, and applied data science to improve customer acquisition, onboarding, retention, engagement, and overall business performance.

You have a proven track record of leading complex, cross-functional transformation initiatives from strategy through execution. You excel at delivering enterprise-wide programs aligned with C-suite priorities, driving measurable business outcomes while managing long-term initiatives across internal and external stakeholders.

This is a highly collaborative leadership role, partnering closely with the Chief Commercial Officer, Business Unit COOs, SVP of Product & Design, SVP of Product Engineering, executive leadership, board members, and cross-functional teams to translate strategic business objectives into scalable technology solutions and deliver an integrated commercial, product, and customer experience strategy.

You are a strategic, business-minded leader who builds high-performing organizations, leads through change, and consistently delivers results. You foster a culture of accountability, collaboration, continuous improvement, and empowered teams while maintaining a strong focus on business outcomes, innovation, and engineering excellence.

Position Responsibilities:

Strategic Leadership & Vision

  • Define and execute a comprehensive technology strategy for commercial systems, datainfrastructure, and customer engagement platforms.
  • Build the next-generation customer engagement "Engine," delivering measurableimprovements in customer acquisition, retention, ARPU, and EBITDA.
  • Build andmaintainstrong relationships with stakeholders from the board to practitioner-level to align technology initiatives with businessobjectivesdriving digital transformation.
  • Integrate data functions, unifying data infrastructure, creating self-service BI capacity, andoptimizing teams to align data and analytics efforts with commercial, product, and CX goals.
  • Champion the shift to an integrated commercial and product strategy by enabling self-servicefor functional teams and delivering more high-value algorithmic work using AI/ML.

Team Leadership and Development

  • Build and scale a high-performing team of ~25FTEs and consultants, including resources forEngineering, Analytics, and Data Science.
  • Lead the transformation of the Data organization into a value-driven (vs. technology-driven)model supporting commercial, digital product, and customer experience domains.
  • Guide the evolution of the team from baseline support to a mature omnichannelenablement organizationleveragingdata and insights to drive revenue,EBITDAand NPS.
  • Develop a leadership layer across Data and Engine functions through internal advancement,role re-definition, and strategic hiring to create scale and accountability for stakeholders.
  • Cultivate a culture of value delivery, transparency, and accountability, while driving iterativeimprovement, greater operationalrigorand prioritization of high-value ML innovation work.

Technology Leadership

  • Direct the modernization of enterprise-wide data infrastructure, BI,analyticsand datascience tools, migrating,consolidatingand standardizing tools and vendors.
  • Ensure alignment between BI, analytics, and Data Science initiatives and business goals,leveragingcontinuous testing and optimization to enhance customer and enterprise value.
  • Ensure alignment between commercial technology initiatives and customer-facing productroadmap, softwaredevelopmentand integration initiatives.
  • Partner with external vendors including Salesforce, AWS, and implementation partners, todeliver cost-effective solutions whilemaintainingstrategic direction and execution quality.

Cross-Functional Collaboration

  • Partner closely with the Chief Commercial Officer, COO for Online, COO for Campus, andSVP Product to ensure seamless execution of commercial technology strategies.
  • Collaborate with sales,marketingand partner leadership to align technology withoperational goals, while navigating resistance and driving adoption.
  • Present strategies and outcomes to executive leadership and the Board,leveragingdata andanalysis to build consensus and drive decisions.

Knowledge, Skills and Abilities:

  • 15+ years progressive tech leadership experience with 7+ years in senior management roles.
  • Experience leading large-scale, full-lifecycle digital transformation initiatives and platformconsolidations in B2B and B2C settings, managing internal teams and external partners.
  • Experience merging disparate systems and teams, with a focus on enabling personalizedcustomer experiences for omnichannel, multi-product customer acquisition and retention.
  • Proven track-record leading and executing technology and data-specific transformationinitiatives delivering compelling measurable impact.
  • Senior-level leadership background across high-growth entrepreneurial environments andcompanies undergoing transformational changes in corporate development.
  • Hands-on experience leading teams in creating business leverage (Revenue, EBITDA, NPS)using commercial technology and customer engagement platforms to grow and scale thesecapabilities on a strategic basis.
  • Track recordbuilding and scaling high-performing technical and business-facing teams
  • Deep understanding of the modern data stack and its deployment for BI, Analytics and DataScience applications in commercial and product use cases, witha track recordof successfulimplementations at scale.
  • Demonstrated success partnering with boards, C-levelexecutivesand cross-functionalimplementation teams, navigatingresistanceand generating buy-in from stakeholders
  • Superior communication skills, with an emphasis on brevity, clarity, and data-drivenpersuasion.
  • Industry experience in education, B2C, or consumer-facing products/servicesrequired.

#LI-TR1

  • Requires a background check upon offer

Background Requirements:

  • Requires a background check upon offer

Benefits:

As a full-time member of our team, you will enjoy a comprehensive offering listed below. Connect with your talent acquisition specialist to learn more about benefits for our part-time roles.

  • Comprehensive Medical, Dental and Vision
  • Flexible Spending Account and Health Savings Account options
  • 401k with an Employer Match
  • Short Term and Long Term Disability
  • Group and Supplemental Life & AD&D
  • Gym Discount Program
  • Pet Insurance
  • Wellbeing Program
  • and more!

Don’t meet every single requirement? We are dedicated to building a diverse, inclusive, authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Get to know us better:

www.ncsasports.org

www.ncsasports.org/careers

NCSA provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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