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Head Data Science Jobs in Texas (NOW HIRING)

Lennar

Sr Data Scientist, People Analytics

Austin, TX

This is a newly created position and the first dedicated data science role on the People Analytics ... You'll report to the Head of People Analytics. Your Responsibilities on the Team * Partner directly ...

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Head Data Science information

See Texas salary details

$19.8K

$96.8K

$179.4K

How much do head data science jobs pay per year?

As of Sep 13, 2026, the average yearly pay for head data science in Texas is $96,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,766.00 and $131,035.00 per year, depending on experience, location, and employer.

What does a head 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 the key skills and qualifications needed to thrive as a head data science?

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 are some common challenges faced by a head 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 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 Texas?

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

Head Data Science jobs near you
Infographic showing various Head Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $96,846 per year, or $46.6 per hour.

Data Science Consulting Partner

Dallas, TX • On-site

Tata Consultancy Service Limited
IT Services • 10K+ employees
Learn more about Tata Consultancy Service Limitedexternal

$210K - $284K/yr

Full-time

Posted yesterday

New

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

The Consulting Partner will lead AI-driven transformation initiatives for North American Utilities clients. This role targets senior practitioners with deep strategic advisory experience, strong technical credibility, and a proven track record of building and scaling AI teams and solutions. Candidates who have led AI departments, Centers of Excellence, or founded / operated AI-focused
companies will be given strong preference.
Roles & Responsibilities
Define and lead AI & GenAI strategy for electric, gas, and water utilities
Advise CIO, CTO, CDO, and business leaders on AI-led operating model transformation
Architect and deliver end-to-end AI and GenAI solutions from concept to production
Lead large-scale AI programs across grid operations, asset management, customer operations, and energy transition
Establish AI governance, Responsible AI, and regulatory compliance (e.g., NERC CIP)
Build and scale AI teams, Centers of Excellence, and reusable accelerators
Support pre-sales, RFPs, executive solutioning, and strategic pursuits
Qualifications:
Technical Expertise:
AI / ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face
Generative AI & LLMs: GPT, Claude, Llama, Gemini; prompt engineering and agentic architectures
Cloud AI Platforms: Azure Machine Learning, Azure OpenAI, AWS SageMaker & Bedrock, Google Vertex AI
MLOps: CI/CD pipelines, model monitoring, governance, retraining, and security
Data Platforms: Databricks, Snowflake, cloud-native data lakes
Utility Systems & Data: SCADA, AMI, OMS, GIS, DERMS, EAM
Preferred Skills / Background:
Former Head of AI, Chief AI Officer, AI Practice Leader, or AI Startup Founder
Experience running AI departments, AI CoEs, or small AI-focused companies • Proven record of building AI teams and scaling production-grade AI solutions
Prior consulting experience with North American utilities Certifications
Relevant certifications in AI/ML and cloud platforms:
Azure AI Engineer Associate
AWS Certified Machine Learning Specialty
Google Professional Machine Learning Engineer
Certifications in Generative AI tools
Education:
Bachelors degree in Computer Science, AI/ML, Data Science, or a related field (Masters or PhD preferred)
Salary Range: 210,000-284,100 a year
#LI-MM6

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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