About SUSE
SUSE is a global leader in innovative, reliable, and secure enterprise open source solutions, including SUSE® Linux Suite, SUSE® Rancher Suite, SUSE® Edge Suite, and SUSE® AI Suite. More than 60% of the Fortune 500 rely on SUSE to power their mission‑critical workloads, enabling them to innovate from the data center to the cloud, to the edge and beyond.
Marketing Data Science & AI Operations Manager
Join our growing Marketing Technology & Operations Team as the Marketing Data Science & AI Operations Manager. In this role you will be the lead engineer of SUSE’s predictive growth engine, reporting to the Senior Director of Marketing Operations. You will own the technical execution and maintenance of a unified source of truth for engagement, pipeline, and conversion.
Responsibilities
Lead the end‑to‑end data flow between the marketing stack and Google Cloud Platform (GCP); serve as the primary owner of the BigQuery environment, ensuring data across SLES, Rancher, and AI portfolios is normalized, clean, and ready for analysis.
Build, test, and deploy autonomous workflows using Looker Studio and AI frameworks (e.g., Amazon Bedrock) to automate lead scoring and propensity‑to‑buy modeling.
Act as the technical lead for EU Data Sovereignty (GAIA‑X) and GDPR 2.0 implementation, ensuring data residency configurations and AI training sets meet global compliance standards.
Manage the deployment of ML models that enable proactive forecasting for churn, LTV, and pipeline velocity.
Integrate disparate signals from web, product, and community into a functional Knowledge Graph to provide real‑time visibility of marketing impact.
Serve as the technical Subject Matter Expert for the marketing organization, translating data science outputs into actionable insights and mentoring regional hubs.
Partner with the Senior Director to monitor and optimize the data‑tech budget, ensuring maximum ROI and system performance on GCP and AWS.
Qualifications & Experience
8–12 years of experience in Data Science or Business Intelligence within a high‑growth enterprise technology environment.
Expert-level proficiency in Google BigQuery, Looker Studio, Vertex AI, Google Analytics, and Search Console.
Strong knowledge of EU Data Sovereignty (GAIA‑X) and GDPR regulations.
Advanced experience with Salesforce, including extracting, transforming, and reporting on complex Salesforce data structures.
Practical experience building and maintaining agentic workflows and LLM‑based discovery models in production.
Experience managing data schemas and localization requirements across EMEA, APJ, and the Americas.
Operational execution skills that drive systemic efficiency and ensure 100% data integrity.
Analytical reasoning ability to identify and eliminate friction points in the sales funnel.
Business acumen that connects data architecture to revenue targets.
Strong mentorship and people‑development orientation.
Metrics of Success
Pipeline reliability: uptime and accuracy of the global "Revenue Truth" database and BigQuery environment.
Model precision: accuracy of ML‑driven lead scoring and propensity models compared to actual conversion data.
Operational automation: percentage of manual reporting tasks migrated to autonomous AI workflows.
Compliance adherence: successful completion of all data residency and AI governance technical audits.
Benefits & Culture
SUSE empowers you to be bold, drive your career forward, and create the future you want. We celebrate achievements, foster an open community where everyone is welcome regardless of age, gender, race, nationality, disability, sexual orientation, religion, or other characteristics, and encourage you to reach your full potential. The environment is dynamic, entrepreneurial, and constantly evolving.
Company Values
Choice
Innovation
Trust
Community
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