Sr. Manager, Finance Analytics Engineering

Verily•Dallas, TX

1d•$146,000 - $219,000

About The Position

Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. Verily’s Business Operations team is seeking a highly motivated and results-oriented analytics leader to drive operational excellence throughout the company. In this role, you will design, implement, and maintain our financial data architecture and business intelligence (BI) systems. You will act as a pivotal partner to cross-functional leaders, transforming disparate data sources into actionable insights. By developing operational KPI dashboards, automating workflows, and leveraging advanced analytics, you will directly influence business performance, operational efficiency, revenue growth, and product line profitability.

Requirements

8+ years of experience in data architecture, analytics engineering, business intelligence, or a closely related field.
Advanced SQL: 8+ years of experience with SQL, with a readiness to mentor junior analysts in query optimization and coding best practices.
BI Expertise: 5+ years of experience managing and developing within Business Intelligence tools (Looker preferred).
dbt Mastery: 3+ years of hands-on experience owning and developing production dbt models and workflows.
Proven expertise in data modeling concepts, ETL processes, data orchestration (Airflow and Python preferred), CI/CD pipelines, and data quality frameworks while serving as a strategic translator who turns complex technical frameworks into actionable business value.
Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.

Nice To Haves

Financial Domain Knowledge: Direct experience working with financial data systems and executing complex system migrations.
Agile Mindset: Experience thriving in a fast-paced environment with a startup mentality; nimble and highly capable of navigating ambiguity.
Exceptional Soft Skills: Strong communication, collaboration, and interpersonal skills to effectively influence cross-functional leaders.

Responsibilities

Architectural Leadership: Lead the design, development, and implementation of a robust, scalable financial data architecture for the Business Operations organization.
Analytics Engineering: Develop and maintain data models, ETL (Extract, Transform, Load) processes, and rigorous data quality standards.
BI & Insights Strategy: Oversee the management of BI tools and lead the creation of reports, dashboards, and data visualizations that surface actionable operational recommendations.
Process Automation & AI: Partner with cross-functional teams to automate manual reporting processes to streamline operations. Pioneer the use of AI and Agents to drive business efficiencies, including automating the monthly financial close process.
Cross-Functional Collaboration: Work closely with IT and Engineering teams to ensure the seamless and efficient integration of data systems across the organization.