SolarWinds

Technology

SeniorManager,DataScience&AI

$175–250k ~AI est. Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Senior Manager, Data Science & AI at SolarWinds. Skills: Data Science, AI, Machine Learning, Business Intelligence. Lead data science initiatives. Develop and deploy ML models”

Industry & Context.

Technology

What They're Looking For.

Must Have

Master's degree in Statistics, Computer Science, Mathematics, or related quantitative field, 8+ years of experience in data science or related field, Proficiency in SQL

Nice to Have

PhD preferred, Experience with specific ML frameworks, Cloud platform certifications

What You'll Do.

Lead data science initiatives

Develop and deploy ML models

Build and maintain BI dashboards

Engineer data pipelines

Perform quantitative analysis

Manage data science team

How You'll Work.

Team & Collaboration

Cross-functional teams; Stakeholders

Full 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 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 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 familiarity with common ML frameworks. Practical knowledge of MLOps patterns: Model versioning, CI/CD, monitoring, retraining policies. Integration of predictions and agents into prod

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