SolarWinds
Senior Manager, Data Science & AI
Austin, Texas · Senior
Sponsorship not specifiedDetected 13 hours ago
PythonCode ReviewSQLBigQueryGCPCloud PlatformsCI/CDMachine LearningdbtData EngineeringData ScienceData VisualizationLLMsRAGAgentic AIMLOpsAI OrchestrationStatisticsA/B TestingForecastingResearchLeadershipCommunication
About 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:
- Be a product‐minded builder who uses AI as a lever for business productivity and automated decision‐making - not as a science project.
Responsibilities
- 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.
- Own the design and deployment of production‐grade ML models and AI agents on BigQuery + Vertex.
- Partner with Enterprise Data, IT, and business leaders to prioritize use cases by expected impact, feasibility, and time‐to‐value.
- Lead the design of agentic workflows and AI copilots that:
- Use LLM orchestration, RAG over BigQuery/dbt models, and Vertex/Gemini to build agents that are grounded, auditable, and safe.
- Own the end‐to‐end lifecycle for predictive models (e.g., churn, propensity, adoption, expansion, forecasting):
- Problem framing, feature design, model selection, evaluation.
- Ensure AI outputs are anchored in governed dbt models and BigQuery marts to minimize hallucination and maintain executive trust.
- Collaborate tightly with:
- Lead a high‐performing, distributed team of Data Scientists (US & EMEA).
Requirements
- 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:
- 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:
Nice to have
- Master's or PhD in a quantitative field (CS, Statistics, Mathematics, Physics, Engineering) preferred, or equivalent deep industry experience.
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:
- Demonstrated ability to:
- Attract, grow, and retain high‐caliber DS/AI talent.
- Thrive in a fast‐paced environment with evolving priorities.
- Education
Benefits
- Monitor business KPIs and health signals.
Apply directly at SolarWinds →Create a free account for alerts like thisView SolarWinds immigration profile
This listing is sourced directly from SolarWinds's careers page and normalized into a canonical job model.