Director of Product Analytics and Data Engineering at Verily

San Bruno, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Health TechIndustries

Requirements

A degree in computer or data science, engineering, or related life science field with 8+ years of experience in data analytics, product analytics, or a related field, and 3+ years in a people management or team lead role
Direct experience in cultivating and directing highly technical employees, fostering a culture of collaboration and professional growth
Extensive experience with BI and data visualization tools (e.g., Tableau, Looker, Power BI) and product analytics platforms
Working knowledge of data engineering concepts, including data warehousing (e.g., BigQuery, Snowflake, Redshift), data modeling principles, and ETL/ELT pipelines
Exceptional communication and presentation skills with a proven ability to influence and build strong relationships with cross-functional stakeholders (Product, Marketing, Finance, etc.)
Preferred Qualifications
Advanced degree (M.S. or Ph.D.) in computer or data science, engineering, or related life science field with 10+ years of experience in data analytics, product analytics, or a related field, and 5+ years in a people management role
Experience working in healthcare, health tech, care delivery, or research
Experience working with successful, large-scale mobile and web applications, and understanding of consumer analytics
Experience working with healthcare data modalities (e.g., EMR/EHR, claims, genomics, clinical trial data) and an understanding of related privacy standards (e.g., HIPAA)
Experience with modern data stack tools like dbt, Airflow, or Fivetran

Responsibilities

Use data-powered insights and compelling data narratives to inform product strategy, feature prioritization, and roadmap development in close partnership with Verily’s product teams (Product Managers, Designers, and Engineers)
Own the full product analytics lifecycle, from defining key performance indicators (KPIs) and instrumentation requirements to deep-dive analysis, A/B testing, and user behavior modeling
Lead the Data Engineering team to design, build, and maintain a scalable and reliable data infrastructure for analytics, while championing data quality and governance, and establishing processes to maintain the integrity of our core datasets
Forecast resource needs and assign tasks, provide guidance, and foster career growth opportunities
Hire and train top talent and extend subject matter expertise for targeted commercial opportunities

Skills

Product Analytics

Data Engineering

A/B Testing

KPI Definition

Data Instrumentation

User Behavior Modeling

Data Infrastructure

Scalable Systems

AI Technologies

Verily

Comprehensive healthcare platform

About Verily

Verily is an Alphabet company combining a data-driven, people-first approach to bring the promise of precision health to everyone, every day. Verily is focused on generating and applying evidence from a wide variety of sources to change the way people manage their health and the way healthcare is delivered - shifting the paradigm from “one size fits all” medicine to one focused on a more comprehensive view of the individual that leads to a more personalized path forward.

N/AHeadquarters

2015Year Founded

N/ACompany Stage

1,001-5,000Employees