Head of Data
Skills
Software As A ServiceCost EngineeringData Warehouse ArchitectureData WarehousingEnhanced Data Rates For GSM EvolutionGlueModeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 15+ years in analytics data science data engineering or related data functions
- Proven leadership of multidisciplinary data teams through ambiguity
- Hands-on experience with data architecture statistical modeling in Python or R SQL and A/B/n experimentation
- Ability to train and coach team members in core data skills
- Strong written and verbal communication skills
- Ability to partner with technical and non-technical stakeholders
- Experience in a fast-paced high-growth startup environment
- Experience in consumer subscription streaming media ad-supported or event-rich digital businesses preferred
- Machine Learning and Deep Learning experience a strong plus
Nice to have
- Collaborative
- Empathetic
- Strategic
- Hands-on
- Business-minded
- High-growth adaptable
Day to day
- Lead and scale a multidisciplinary data organization across science engineering and analytics
- Own data strategy platform quality and reliable insights so teams can make informed decisions
- Partner with product engineering finance and business leaders to deliver experimentation modeling governance and customer insight work
Hiring process
- Submit application
- Interview process with recruiting and hiring team
- Final discussions with leadership
