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Vp Data Science Jobs in Florida (NOW HIRING)

VP, Data

Bradenton, FL · On-site

$180 - $280/hr

Data Science & Analytics: Responsible for advanced analytics, machine learning, and applied data ... P of Product Engineering, executive leadership, board members, and cross-functional teams to ...

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VP, Data (Bradenton)

Bradenton, FL · On-site

$125K - $160K/yr

Data Science & Analytics: Responsible for advanced analytics, machine learning, and applied data ... P of Product Engineering, executive leadership, board members, and cross-functional teams to ...

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Showing results 1-20

Vp Data Science information

See Florida salary details

$31K

$106.5K

$150.2K

How much do vp data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for vp 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 leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

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 advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

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

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

What are the most commonly searched types of Data Science jobs in Florida? The most popular types of Data Science jobs in Florida are:
What are popular job titles related to Vp Data Science jobs in Florida? For Vp Data Science jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Vp Data Science jobs? Cities in Florida with the most Vp Data Science job openings:
Infographic showing various Vp Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,460 per year, or $51.2 per hour.

$180 - $280/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New


IMG Academy rating

6.6

Company rating: 6.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

6th of 23 rated private schools and tutoring


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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