Head of Data (Remote)

The Head of Data at Allergan Data Labs will lead the discovery, definition, and delivery of the enterprise data platform, democratizing the production and consumption of data while maintaining impeccable standards. They will hire, mentor, and drive strong operational execution for a team composed of Data/ML Engineers, Data Scientists, Data Product Managers, Data Architects, and similar. The role requires experience building modern enterprise data architecture and systems utilizing Data/ML Ops, distributed computing, streaming technologies, and other industry best practices. The Head of Data will report to the CTO and collaborate with key stakeholders across the business to solve the most important data problems.

• Lead the discovery, definition and delivery of the enterprise data platform
• Hire, mentor and drive strong operational execution for a team composed of Data/ML Engineers, Data Scientists, Data Product Managers, Data Architects and similar
• Drive the vision and architecture for the fledgling Data Mesh
• Toggle between evangelizing the vision to the organization, ensuring strong execution of data products and systems, and collaborating with peers/stakeholders
• Lead teams who build ML driven products that fuel content and promotional recommendations, ad spend optimizations, market segmentation and next-best-actions for SaaS users and more
• Skillfully establish systems for data governance, discoverability, observability and security
• Increase the trust and utility of data across the organization through data quality, lineage, freshness, completeness and ease of use
• Bring increased fidelity to the data privacy and ethics approach, championing the stance internally and partnering with the Product Marketing team to build customer awareness.

• Experience building modern enterprise data architecture and systems utilizing Data/ML Ops, distributed computing, streaming technologies and other industry best practices.
• Familiarity with tools like AWS (Sagemaker, Kinesis, SQS, Lambda, EMR, EKS, etc), Snowflake, Python, Kafka, FiveTran, Airflow, DataDog and Segment.
• Experience working on SaaS and consumer facing products, B2B2C, marketplaces, or similar.
• 15+ years of relevant experience in Data Science, Data Engineering, Machine Learning and Data Systems & Architecture with a proven track record for delivery.
• 5+ years of experience managing data teams of 30 or more highly productive individuals
• Demonstrated experience in attracting and hiring top talent.
• Demonstrated ability to plan and execute in a fast-paced and highly dynamic environment with multiple business and technical priorities.
• Demonstrated experience managing teams who productize machine learning technologies from conception to delivery.
• Deep understanding of architecture, system design, infrastructure, model development and data and machine learning pipelines.
• Experienced at effectively managing a distributed team.
• Excellent verbal and written communication skills, with the ability to clearly communicate with a team of technologists as well as with senior management and business.