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Vice President Data Science Jobs in Tennessee (NOW HIRING)

The VP of Operations owns the agency's business operations and logistics infrastructure end-to-end ... Drive a culture of continuous improvement through post-event retrospectives, data analysis, and ...

The VP of Operations owns the agency's business operations and logistics infrastructure end-to-end ... Drive a culture of continuous improvement through post-event retrospectives, data analysis, and ...

VP Furniture Sales

Nashville, TN · On-site

$100 - $150/hr

Monitor sales performance and analyze sales data to identify areas for improvement. * Prepare ... Reporting Line The Vice President of Furniture Sales will report directly to the CEO and will ...

The Vice President of Procurement is a key executive responsible for leading all sourcing, supplier ... data-driven procurement organizationFoster collaboration between Procurement, Sales, Operations ...

The Vice President of Sales & Marketing will be accountable for driving revenue growth and leading ... Champion data-driven decision-making: pipeline reviews, win/loss analysis, and performance ...

Showing results 21-40

Vice President Data Science information

See Tennessee salary details

$39.5K

$143K

$251.9K

How much do vice president data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for vice president data science in Tennessee is $142,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $172,400.00 per year, depending on experience, location, and employer.

What does a vice president of data science do?

A Vice President of Data Science leads the data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

What does a vice president of data science do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

What are the key skills and qualifications needed to thrive as a vice president of data science, and why are they important?

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What are some common challenges faced by a vice president of data science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

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

The most popular types of Data Science jobs in Tennessee are:

What are popular job titles related to Vice President Data Science jobs in Tennessee?

For Vice President Data Science jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Vice President Data Science jobs?

Cities in Tennessee with the most Vice President Data Science job openings:

Infographic showing various Vice President Data Science job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $142,979 per year, or $68.7 per hour.

Vice President, Operations

EES Agency

Nashville, TN • On-site

Full-time

Re-posted 24 days ago


Key responsibilities

  • Own end-to-end operational execution for all live, virtual, and hybrid events globally

  • Oversee logistics timelines, staffing, and on-site operational execution

  • Implement AI-driven workflow automation and leverage machine learning to improve operational efficiency


Job description

THE OPPORTUNITY

EES Agency is seeking a Vice President of Operations to define how a world-class event agency runs at scale. Reporting directly to the CEO, this role is the connective tissue between bold creative ambition and disciplined, scalable delivery across live, virtual, and hybrid experiences globally.

The VP of Operations owns the agency's business operations and logistics infrastructure end-to-end — building the systems, teams, and vendor relationships that let EES deliver flawlessly as it grows. The role also champions AI adoption across operational teams, helping the agency work smarter and stay ahead of what's possible in experiential. This is a senior leadership position with agency-wide operational authority and direct partnership with the CEO.

KEY RESPONSIBILITIES

Operational Leadership + Excellence

  • Own end-to-end operational execution for all live, virtual, and hybrid events globally
  • Establish and uphold delivery standards, quality control frameworks, and client satisfaction benchmarks
  • Develop repeatable-yet-flexible operational playbooks that protect creative integrity without creating chaos
  • Oversee logistics timelines, staffing, and on-site operational execution at the highest level

Logistics + Vendor Ecosystem

  • Own end-to-end leadership of the logistics team, including FTE and Contractor/Project Staff, across all event formats
  • Oversee all event logistics, transportation, and venue coordination
  • Build and steward a high-performance global vendor, supplier, and venue partner network
  • Negotiate complex contracts balancing cost efficiency, quality, reliability, and long-term relationship value
  • Ensure robust contingency planning, risk management protocols, and issue escalation frameworks are embedded across the organization

AI Adoption + Operational Innovation

AI strategy for the agency lives with the Innovation function and the AI Task Force — the VP of Operations is not the de facto AI leader. What's required instead is fluency: understanding AI well enough to push the operations organization to use it, and leading the charge on applying it to solve real problems and modernize systems.

  • Implement AI-driven workflow automation to reduce manual overhead, increase throughput, and free creative teams to focus on high-value work
  • Leverage machine learning and predictive analytics to improve budget forecasting, resource allocation, and event performance modeling
  • Champion the use of AI-powered project management, scheduling optimization, and real-time operations dashboards
  • Partner with the Innovation function and AI Task Force to pilot and scale tools that enhance — not replace — human expertise
  • Drive AI adoption within the operations org and identify where existing systems and workflows should be revamped

Scalability + Global Expansion

  • Design the operational infrastructure to support expansion into new markets and regions
  • Standardize tools, systems, and workflows globally — while preserving regional flexibility where it matters
  • Lead operational readiness for new location launches from inception through stabilization

Financial + Performance Management

  • Own all operational budgets, margin targets, and cost controls across the events portfolio
  • Partner with Finance on forecasting, pricing models, and per-event profitability analysis
  • Define and track KPIs for delivery performance, resource utilization, operational efficiency, and AI ROI
  • Drive a culture of continuous improvement through post-event retrospectives, data analysis, and structured learning loops
  • Own vendor management and contract management end-to-end, with both clients and vendors

Executive + Cross-Functional Leadership

  • Serve as a core member of the Management Team, contributing to agency strategy, culture, and long-term direction
  • Champion Events as a Business Strategy (EBS), ensuring operational decisions are made through the lens of driving measurable client business outcomes — not just flawless delivery
  • Use EBS thinking to identify and convert project-based clients into retained, recurring house accounts, partnering with the Client Relationships team on the transition
  • Partner closely with the Relationships team to ensure client commitments are operationally deliverable and profitably scoped
  • Collaborate with Marketing + Creative to align visionary concepts with operational and logistical feasibility
  • Partner with the Creative Director on production planning to ensure logistics, budget, and timelines support the creative vision
  • Act as the agency's internal voice of execution and operational intelligence in all strategic decision-making forums
  • Build, mentor, and retain a high-performing operations organization 

WHAT SUCCESS LOOKS LIKE

Flawless Event Delivery - Consistent on-time, on-budget execution across all formats and regions

Client Impact - High client satisfaction scores, repeat business, and reference-ability

Client Retention & Growth - Growth in recurring revenue, retention, and expanded scope across existing client accounts

House Account Conversion - Measurable growth in clients converted from project-based work to retained, recurring house accounts

Margin Performance - Year-over-year operational margin improvement

AI Leadership - Measurable productivity gains and cost savings from AI tooling adoption

Global Growth - New location launches delivered on schedule and at full operational maturity

Team Strength - Retention, engagement, and promotion velocity within the operations org


Candidate should be located in either the Greater Nashville or Miami markets


Requirements:
  • Experience: 10+ years of senior operations leadership in events, experiential marketing, live entertainment, or production — with demonstrated P&L ownership
  • AI Fluency: Working knowledge of AI tools and genuine enthusiasm for applying them operationally; comfortable pushing a team to adopt new tools quickly, without needing to own company-wide AI strategy
  • Scale: Proven track record building and scaling operations across multiple geographies, teams, and event types
  • Network: Established relationships with top-tier vendors, logistics partners, and venue operators globally
  • Leadership: A calm, decisive leader who commands trust under pressure — and inspires operational teams to do their best work
  • Mindset: A systems thinker who sees complexity as a design problem — and builds elegant, human-centered solutions
  • Communication: Exceptional communicator who translates operational realities into language that resonates with creative, commercial, and executive audiences