Director, Business Intelligence & Enterprise Analytics

United States·Foster CityFull-timeexecutive

Data ScienceBusiness IntelligenceData & AI

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

Zoox is seeking a strategic and experienced Director of Business Intelligence & Enterprise Analytics to lead our enterprise-wide transformation through data and advanced analytics.

Technical Tools

power-bisnowflaketableaustakeholder-management

Zoox is seeking a strategic and experienced Director of Business Intelligence & Enterprise Analytics to lead our enterprise-wide transformation through data and advanced analytics. This role will focus on two core areas: driving productivity across business functions—including Finance, HR, IT, Marketing, and Supply Chain—by developing and deploying scalable platforms and tools; and building a world-class enterprise business intelligence capability to deliver robust financial, operational, and strategic insights. This position is critical to shaping Zoox’s data strategy and delivering measurable business impact.

Architect and build a scalable enterprise business intelligence (BI) and analytics infrastructure to support high-quality financial, operational, and strategic reporting.

Lead the development and deployment of platforms and tools that enhance productivity across core business functions such as Finance, HR, IT, Marketing, Procurement, and Supply Chain.

Collaborate with cross-functional leaders to translate business needs into data, ensuring alignment with organizational goals and priorities.

Manage and grow a high-performing team of data and analytics professionals, fostering innovation, operational excellence, and a data-driven culture.

Strong technical expertise in data architecture, analytics platforms, and business intelligence tools (e.g., Snowflake, Tableau, SAP BW/4HANA, Power BI, or similar).

Deep understanding of enterprise operations and processes across functions like Finance, Supply Chain, HR, and IT, with the ability to translate business needs into technical solutions.

Demonstrated success in building and managing high-performing technical teams, including data scientists and BI analysts.

Excellent communication, stakeholder management, and strategic thinking skills, with a track record of influencing executive leadership and driving measurable business outcomes.

Experience implementing GenAI tools or Large Language Models (LLMs) in an enterprise setting to automate workflows, enhance decision-making, or improve employee productivity.

Experience leading AI/ML initiatives and data-driven transformations in a complex, cross-functional business environment.