Manage and mentor a team of data science engineers and analysts, ensuring a balance of technical depth and business relevance.
Own reporting and analysis of customer success metrics (renewal, adoption, churn risk).
Translate data into compelling narratives and actionable recommendations for executives and cross-functional leaders.
Ensure large datasets are consolidated, cleansed, and integrated across multiple sources to support reliable, enterprise-wide analytics.
Oversee the design and deployment of scalable ML/AI workflows, predictive models, and LLM-powered agents to automate insights and deliver next-gen customer intelligence.
Collaborate with Customer Success, Engineering, Professional Services, and other DX organizations to align data solutions with business priorities.
Drive continuous improvement in analytics processes, governance, and system scalability.
Requirements
Bachelor’s or graduate degree in Computer Science, Data Science, Business, or related field.
8+ years of experience in data science, business intelligence, or data engineering roles.
3-5 years of proven people management experience, including hiring, mentoring, and developing diverse technical and analytical teams.
Experience creating dashboards, reports, and data visualizations for executive audiences (Power BI, Tableau, Adobe Workspace).
Strong expertise in Python, SQL, Spark, and cloud platforms (Azure, AWS, GCP).
Proven track record of deploying ML/AI models and building scalable data solutions.
Excellent communication skills: ability to tell the data story, influence decisions, and partner effectively with senior leaders.
Knowledge of business processes in SaaS, Customer Success, or customer experience domains.
Strong organizational and project management skills, with the ability to inspire change and deliver outcomes in dynamic environments.
Benefits
Health insurance
Professional development opportunities
Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.