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Vp 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 ...

There will be heavy emphasis on data analysis and the application of analytical results to create and drive revenue opportunities internally and externally. The Vice President, Revenue will also be ...

VP Marketing

Nashville, TN ยท On-site

$120 - $160/hr

About the VP of Marketing Upperline Health is seeking an analytically rigorous and strategically ... Translate high-level business goals into a data-backed marketing roadmap with clearly defined KPIs ...

New

Overview Vice President, Clinical Informatics, Ambulatory and Diagnostic Services Full Time, 80 ... Develops data governance strategies for the health system working closely with senior leaders and ...

Vice President, Clinical Informatics, Ambulatory and Diagnostic Services Full Time, 80 Hours Per ... Develops data governance strategies for the health system working closely with senior leaders and ...

Showing results 21-40

Vp Data Science information

See Tennessee salary details

$37.7K

$129.3K

$182.4K

How much do vp data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for vp data science in Tennessee is $129,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $151,100.00 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 Tennessee? The most popular types of Data Science jobs in Tennessee are:
What are popular job titles related to Vp Data Science jobs in Tennessee? For Vp Data Science jobs in Tennessee, the most frequently searched job titles are:
Infographic showing various Vp Data Science job openings in Tennessee 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 $129,299 per year, or $62.2 per hour.

Vice President, Operations

EES Agency

Nashville, TN โ€ข On-site, Remote

Full-time

Posted 26 days ago


Job description

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