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Head Data Science Jobs in Tennessee (NOW HIRING)

The Georgetown University

This is a senior leadership role that sits at the intersection of law, data science, and ... The Head of Research leads the design and oversees the implementation of the SDF research and ...

D1 Training

Head Speed and Strength Coach

Arlington, TN · On-site

$42K - $58K/yr

The Data Dictator: You own the testing ecosystem. If it isn't tracked, it didn't happen. You keep ... Bachelor's degree in Exercise Science or a related field is preferred. Benefits & Perks

Deloitte

Oracle Gen AI Manager

Nashville, TN

... Functions, API Gateway, Data Science, Autonomous Database, and Oracle Integration Cloud ... If your head is in the cloud, find out where we can take you with Oracle Enterprise Solutions.

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Showing results 1-20

All JobsHead Data Science JobsHead Data Science Jobs in Tennessee

Head Data Science information

See Tennessee salary details

$22.7K

$111.2K

$205.9K

How much do head data science jobs pay per year?

As of Jul 27, 2026, the average yearly pay for head data science in Tennessee is $111,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,561.00 and $150,393.00 per year, depending on experience, location, and employer.

How to become head of data science?

To become a head of data science, professionals typically need extensive experience in data analysis, machine learning, and leadership roles, often requiring 8-10 years in data-related positions. A strong educational background in computer science, statistics, or related fields, along with skills in programming, data management, and strategic planning, is essential. Advanced degrees and certifications in data science or analytics can also enhance prospects for leadership positions.

Is 40 too late for data science?

The Head Data Science role and similar data science positions do not have strict age limits; many professionals transition into data science later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning, regardless of age.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer, Director of Data Science, or Lead Data Scientist, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 for those with extensive experience, advanced skills in machine learning, and industry expertise. These roles typically require strong leadership, strategic thinking, and proficiency with tools like Python, R, and cloud platforms.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What does a Head of Data Science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are some common challenges faced by a Head of Data Science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

What are the key skills and qualifications needed to thrive as a Head of Data Science, and why are they important?

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

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

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

What are the most commonly searched types of Data Science jobs in Tennessee? The most popular types of Data Science jobs in Tennessee are:
Head Data Science jobs near you
Infographic showing various Head Data Science job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,153 per year, or $53.4 per hour.
Head of Digital Distribution

Head of Digital Distribution

Brown & Brown Insurance

Brentwood, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.

Brown & Brown is seeking a Head of Digital Distribution to join our growing team. This role can be located in one of our hub locations in Atlanta, Nashville, or Daytona Beach.

The Head of Digital Distribution is responsible for defining and leading the strategy, design, and delivery of digital products that enable the online distribution of insurance and low-touch servicing of clients.

This role is accountable for building scalable, customer-centric digital journeys that drive new business growth, improve conversion, and reduce servicing cost-to-serve. The individual will lead a team of product managers and work cross-functionally with sales, broking, engineering, data, and operations to deliver end-to-end digital experiences across the insurance lifecycle.

How you Will Contribute:

  • Define and execute the digital product strategy for online distribution, embedded insurance, and customer self-service

  • Drive a shift from broker-led to hybrid and digital-first distribution models where relevant

  • Own end-to-end digital sales funnels, from acquisition through quote, bind, and onboarding

  • Drive improvements in conversion rates through UX optimization, pricing transparency, and journey simplification

  • Leverage data and experimentation (A/B testing) to continuously optimize performance

  • Develop and scale digital servicing capabilities (e.g., policy changes, renewals, claims FNOL, document access)

  • Reduce manual intervention and cost-to-serve through automation and intuitive customer journeys

  • Ensure seamless integration between digital and broker-assisted channels

  • Lead the end-to-end product lifecycle (discovery, design, build, launch, iterate)

  • Define and prioritize product roadmaps aligned to commercial outcomes

  • Work closely with engineering and design teams using agile methodologies

  • Enable integration with carrier APIs, digital trading platforms, and third-party ecosystems

  • Support embedded insurance and partnership-led distribution models

  • Ensure products are scalable, modular, and aligned to enterprise architecture

  • Embed data, analytics, and customer insights into all product decisions

  • Define and track product KPIs (conversion, CAC, retention, NPS, cost-to-serve)

  • Partner with data science and BI teams to enable personalization and intelligent journeys

  • Champion customer-centric design and best-in-class digital experiences

  • Ensure journeys are simple, intuitive, and aligned to customer needs across segments

  • Balance regulatory requirements with seamless user experience

  • Build and lead a high-performing team of digital product managers

Skills and Experience to be Successful:

  • 12+ years in digital product management, with significant leadership experience

  • Proven track record of building and scaling digital products for online sales & self-service

  • Demonstrated success in driving digital transformation and commercial outcomes

  • Deep understanding of digital product lifecycle and agile delivery methodologies

  • Experience with digital distribution models (direct-to-consumer, embedded, platform-based)

  • Familiarity with API ecosystems, digital trading platforms, and modern architectures

  • Strong understanding of UX/UI principles and conversion optimization techniques

  • Experience in the insurance industry, including risk, and regulatory considerations preferred.

Teammate Benefits & Total Well-Being

We go beyond standard benefits, focusing on the total well-being of our teammates, including:

  • Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
  • Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
  • Mental Health & Wellness: Free Mental Health &Enhanced Advocacy Services
  • Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.

The Power To Be Yourself

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, "The Power to Be Yourself".

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