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Manager Data Science Civil Engineering Jobs in Texas

Daikin

Data Engineering Manager

Waller, TX · On-site

Collaborate with cross-functional teams including Data Science, Analytics, Product, and Engineering ... Manage technical projects from concept through implementation, including planning, prioritization ...

Daikin

Data Engineering Manager

Waller, TX

Collaborate with cross-functional teams including Data Science, Analytics, Product, and Engineering ... Manage technical projects from concept through implementation, including planning, prioritization ...

Daikin

Data Engineering Manager

Waller, TX · On-site

Collaborate with cross-functional teams including Data Science, Analytics, Product, and Engineering ... Manage technical projects from concept through implementation, including planning, prioritization ...

Toyota

Principal Data Scientist

Plano, TX · On-site

Partner with product managers, data engineers, Machine Learning (ML) engineers, domain experts, and business stakeholders to ensure successful implementation and adoption of data science solutions

Varsity Tutors

Civil Engineering Tutor

Missouri City, TX · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Varsity Tutors

Civil Engineering Tutor

Corpus Christi, TX · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Varsity Tutors

Civil Engineering Tutor

Irving, TX · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Varsity Tutors

Civil Engineering Tutor

Edinburg, TX · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Varsity Tutors

Civil Engineering Tutor

Sugar Land, TX · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

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All JobsData Science Civil Engineering JobsManager Data Science Civil Engineering JobsManager Data Science Civil Engineering Jobs in Texas

Manager Data Science Civil Engineering information

Can you make $500,000 as a civil engineer?

A Manager in Data Science within civil engineering can potentially earn $500,000 annually, especially with extensive experience, advanced skills, and leadership roles overseeing large projects or teams. Such high salaries are typically found in senior management positions, consulting, or firms working on large-scale infrastructure projects, often requiring specialized certifications and a strong track record. Entry-level or mid-career civil engineers generally earn significantly less than this amount.

What engineers make $300,000 a year?

Senior data science managers and experienced civil engineering managers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High salaries are often associated with roles in large organizations, specialized expertise, or positions requiring advanced certifications and management of complex projects.

What is the difference between Manager Data Science Civil Engineering vs Civil Engineering Project Manager?

AspectManager Data Science Civil EngineeringCivil Engineering Project Manager
Required CredentialsMaster's in Data Science, Civil Engineering, or related field; certifications in project management or data analyticsBachelor's or Master's in Civil Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentData analysis teams, engineering firms, research institutionsConstruction sites, engineering firms, project offices
Employer & Industry UsageTech-driven civil engineering projects, infrastructure analyticsConstruction projects, infrastructure development, urban planning

The Manager Data Science Civil Engineering focuses on analyzing data to optimize civil engineering projects, while the Civil Engineering Project Manager oversees the planning, execution, and completion of civil construction projects. Both roles require engineering knowledge but differ in their core responsibilities and work environments.

What engineers make $500,000?

Senior data science managers and specialized civil engineering roles with extensive experience and advanced skills can reach salaries of $500,000 or more, especially in high-demand industries or senior leadership positions. Achieving this level often requires advanced degrees, certifications, and a strong track record of project success and leadership. Compensation varies based on location, company size, and individual expertise.

Can a civil engineer become a data scientist?

A civil engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional education or training. Their background in engineering and problem-solving can be advantageous, but they typically need to learn data analysis tools like Python, R, and SQL, and gain experience with data modeling and visualization.
What are the most commonly searched types of Data Science Civil Engineering jobs in Texas? The most popular types of Data Science Civil Engineering jobs in Texas are:
What are popular job titles related to Manager Data Science Civil Engineering jobs in Texas? For Manager Data Science Civil Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Manager Data Science Civil Engineering jobs in Texas look for? The top searched job categories for Manager Data Science Civil Engineering jobs in Texas are:
What cities in Texas are hiring for Manager Data Science Civil Engineering jobs? Cities in Texas with the most Manager Data Science Civil Engineering job openings:
Manager Data Science Civil Engineering jobs near you
Senior Manager, Data Science & AI

Senior Manager, Data Science & AI

SolarWinds

Austin, TX • On-site

Full-time

Posted 4 days ago

SolarWinds rating

8.9

Company rating: 8.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

34th of 209 rated software companies

Job description

At SolarWinds, we're a people-first company. Our purpose is to enrich the lives of the people we serve-including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.
The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We're looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you're looking to build your career with an exceptional team, you've come to the right place. Join SolarWinds and grow with us!
The Role
We are moving from traditional analytics to a Google Cloud-centric, AI-driven organization built on BigQuery, dbt, Vertex AI, and Glean.
As our Senior Manager of Data Science & AI, you will:
  • Lead a high-performing, distributed team of Data Scientists (US & EMEA).
  • Own the design and deployment of production-grade ML models and AI agents on BigQuery + Vertex.
  • Be a product-minded builder who uses AI as a lever for business productivity and automated decision-making - not as a science project.

You'll combine deep Google stack expertise with a strong sense of business impact and a bias for shipping.
Core Responsibilities
AI Strategy & Vision
  • Define and execute a Data Science & AI roadmap that integrates LLMs, GenAI, and classical ML into core functions (GTM, Product, Finance, Operations).
  • Partner with Enterprise Data, IT, and business leaders to prioritize use cases by expected impact, feasibility, and time-to-value.
  • Lean in on the rapidly changing data + AI space (Vertex, Gemini, Glean, agents) and translate platform evolution into a clear plan for SolarWinds.

Agentic Workflows & Applied LLMs
  • Lead the design of agentic workflows and AI copilots that:
  • Monitor business KPIs and health signals.
  • Perform automated root-cause exploration over governed data.
  • Push proactive, explainable "answers" and recommendations to executives and operators.
  • Use LLM orchestration, RAG over BigQuery/dbt models, and Vertex/Gemini to build agents that are grounded, auditable, and safe.

Production ML Excellence (BigQuery + Vertex)
  • Own the end-to-end lifecycle for predictive models (e.g., churn, propensity, adoption, expansion, forecasting):
  • Problem framing, feature design, model selection, evaluation.
  • Deployment on Vertex AI / BigQuery ML with robust MLOps.
  • Writebacks into BigQuery and integration into Tableau, workflows, or agents.
  • Ensure AI outputs are anchored in governed dbt models and BigQuery marts to minimize hallucination and maintain executive trust.

Team Leadership & Ways of Working
  • Recruit, mentor, and scale a world-class DS/AI team; set clear expectations for technical quality and business impact.
  • Foster a culture of "high-velocity shipping":
  • Lightweight experimentation with fast feedback loops.
  • Code reviews, reproducibility, and MLOps best practices as the norm.
  • Clear measurement of impact and iteration based on results.

Collaborate tightly with:
  • Data Engineering & Platform (BigQuery, ingestion, performance/cost).
  • Analytics Engineering & BI (semantic layer, dashboards, NLQ).
  • Data Governance & Security (policies, access, responsible AI).

Stakeholder Evangelism & Communication
  • Act as the internal "how to solve X with AI" consultant:
  • Translate ambiguous business problems into tractable DS/AI solutions.
  • Explain technical trade-offs, risks, and constraints in clear language.
  • Regularly brief GTM, Finance, Product, and Exec stakeholders on what's possible now, what's next, and what's not worth doing.

AI Innovation
  • Stay at the forefront of AI and LLM research and GCP platform capabilities (Vertex, Gemini, BigQuery ML, Glean).
  • Quickly separate hype from practical value; pilot and harden innovations that can become repeatable, governed patterns for the wider organization.

Required Experience
Experience
  • 8+ years in Data Science / Machine Learning, with 3+ years in a formal leadership role managing high-impact technical teams.
  • Proven track record of taking models and AI solutions into production and delivering measurable business outcomes (revenue, retention, efficiency, or cost).

AI & Modeling Expertise
Hands-on experience with:
  • LLM orchestration and RAG architectures (retrieval over internal data, grounding, prompt chaining).
  • Fine-tuning or adapting foundation models for business-specific contexts.
  • A broad range of statistical and ML methods across classification, regression, time-series, and uplift/propensity modeling.
  • Ability to apply these methods to large, messy real-world datasets and ship something that works now, not just in theory.
  • Deep Google Stack Experience (Required)

Significant, recent experience with Google Cloud Platform, including:
  • BigQuery for large-scale analytics, feature stores, and model inputs/outputs.
  • Vertex AI and/or BigQuery ML for model training, deployment, and monitoring.
  • Comfortable designing solutions that combine BigQuery + dbt + Vertex/BigQuery ML end-to-end.

Technical Skills
  • Strong proficiency in Python (and/or R) and SQL; familiarity with common ML frameworks.
  • Practical knowledge of MLOps patterns:
  • Model versioning, CI/CD, monitoring, retraining policies.
  • Integration of predictions and agents into production workflows and tools.

Mindset & Leadership
Strong bias for action:
  • You prefer a working prototype that solves 80% of the problem this quarter over a perfect model six months from now.
  • Demonstrated ability to:
  • Attract, grow, and retain high-caliber DS/AI talent.
  • Thrive in a fast-paced environment with evolving priorities.
  • Drive a data- and AI-informed culture across multiple functions.

Education
  • Master's or PhD in a quantitative field (CS, Statistics, Mathematics, Physics, Engineering) preferred, or equivalent deep industry experience.

If you want to shape an enterprise AI strategy on Google Cloud, lead a hands-on DS/AI team, and turn BigQuery + Vertex into real competitive advantage, we'd like to talk.
SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law.
All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice

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