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Advanced Analytics Manager Jobs in Austin, TX (NOW HIRING)

CommUnityCare

Principal Data Scientist

Austin, TX · On-site

$180 - $240/hr

Develop disease progression models, readmission risk models, utilization forecasting, and other advanced analytics that inform care management and resource allocation strategies. * Leverage Epic ...

Central Health

Principal Data Scientist

Austin, TX · On-site

$180 - $230/hr

Develop disease progression models, readmission risk models, utilization forecasting, and other advanced analytics that inform care management and resource allocation strategies. * Leverage Epic ...

Software People, Inc.

Database Architect

Austin, TX · On-site

$63.25 - $81.25/hr

... managing advanced analytics projects. 10 Required Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required. 10 Required Experience in developing, deploying, and ...

Hirekeyz Inc

Database Architect

Austin, TX · On-site

$63.25 - $81.25/hr

... and managing advanced analytics projects.10Required Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required.10Required Experience in developing, deploying, and ...

Snowrelic Inc

Database Architect (W2)

Austin, TX · On-site

$63.25 - $81.25/hr

... managing advanced analytics projects.   10 Required Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required.   10 Required Experience in developing, deploying ...

Central Health

Principal Data Scientist

Austin, TX · Hybrid

Develop disease progression models, readmission risk models, utilization forecasting, and other advanced analytics that inform care management and resource allocation strategies. Leverage Epic ...

Central Health

Principal Data Scientist

Austin, TX · Hybrid

Develop disease progression models, readmission risk models, utilization forecasting, and other advanced analytics that inform care management and resource allocation strategies. Leverage Epic ...

Central Health

Principal Data Scientist

Austin, TX · On-site

... advanced analytics that inform care management and resource allocation strategies. • Leverage Epic clinical and operational data, including ADT events, clinical documentation, orders, and registry ...

Central Health

Principal Data Scientist

Austin, TX · Hybrid

... advanced analytics that inform care management and resource allocation strategies. • Leverage Epic clinical and operational data, including ADT events, clinical documentation, orders, and registry ...

Deloitte

HST Technical Program Analyst

Austin, TX

... advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Pwc

Data Governance- Manager

Austin, TX

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... They utilise advanced analytics techniques to help clients optimise their operations and achieve ...

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Showing results 41-60

All JobsAdvanced Analytics JobsAdvanced Analytics Manager JobsAdvanced Analytics Manager Jobs in Austin, TX

Advanced Analytics Manager information

See Austin, TX salary details

$58.6K

$90.7K

$119.6K

How much do advanced analytics manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for advanced analytics manager in Austin, TX is $90,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $107,900.00 per year, depending on experience, location, and employer.

What is the difference between Advanced Analytics Manager vs Data Scientist?

AspectAdvanced Analytics ManagerData Scientist
Required CredentialsBachelor's or Master's in Analytics, Data Science, or related fields; often managerial experienceBachelor's or Master's in Data Science, Statistics, or related fields; sometimes PhD
Work EnvironmentLeads analytics teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in teams
Employer & Industry UsageUsed across industries for strategic insights and team leadershipCommonly employed for developing models and insights at technical levels

The Advanced Analytics Manager oversees analytics teams and strategic projects, focusing on leadership and project management. Data Scientists primarily perform technical data analysis and model development. While both roles require strong analytical skills, the manager role emphasizes leadership and coordination, whereas the Data Scientist role is more technical and hands-on.

What cities near Austin, TX are hiring for Advanced Analytics Manager jobs?

Cities near Austin, TX with the most Advanced Analytics Manager job openings:

Advanced Analytics Manager jobs near you
Infographic showing various Advanced Analytics Manager job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $90,693 per year, or $43.6 per hour.

Forward Deployed Engineer (Generative AI)

Tiger Analytics Inc.

Austin, TX • On-site, Remote

Full-time

Re-posted 2 days ago

Job description

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
Role Overview
The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.
You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Requirements
Agentic Design & Implementation
• Develop intelligent agents using Vertex AI Agent Builder to automate complex
business workflows.
• Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems
that collaborate to solve end-to-end business challenges.
• Implement tools like MCP (Model Context Protocol) Toolbox to securely connect
agents to enterprise databases like BigQuery and Spanner.
AI on Data Strategy
• Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless
integration with BigQuery for feature engineering.
• Build and optimize streaming data pipelines (e.g., via Dataflow) to execute
real-time inference using RunInference API or Vertex AI endpoints.
• Ground AI models in live business context using vector engines within BigQuery or
AlloyDB to eliminate "AI amnesia".
Operational Excellence (Soft Skills)
• Active Participation: Show up promptly for all internal and client-facing meetings.
• Transparent Communication: Provide regular, structured status updates to team
members and stakeholders regarding project milestones and technical blockers.
• Proactive Collaboration: Demonstrate the ability to ask for help when facing
technical hurdles and contribute to a collaborative troubleshooting environment.
• Consultative Approach: Navigate corporate environments to translate high-level
business goals into robust technical architectures.
Technical Qualifications
• Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and
model evaluation.
• Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
engineering, and data preprocessing techniques (scaling, encoding, imputation).
• Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex
AI endpoints.
• Emerging Tech: Familiarity with stateful real-time processing and the latest
innovations in agentic architectures.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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