Serve Robotics
Software
Sr.Manager,DataEngineering&Analytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Manager, Data Engineering & Analytics at Serve Robotics. Skills: Data engineering, Analytics engineering, BI, Analytics, Data warehouses, Data lakes, ETL/ELT pipelines, Orchestration, Data modeling, BI platforms, Semantic layers, Data quality practices. Lead, mentor, and grow a team of data and analytics engineers. Define the data engineering and analytics roadmap, aligned with company goals”
What You'll Achieve.
Improve decision-making; Grow robotic deliveries from surprising novelty to efficient ubiquity
Industry & Context.
Solving complicated dynamic problems
What They're Looking For.
Must Have
6+ years of professional experience in data engineering and analytics, 2+ years experience leading teams of Sr. Data/Analytics Engineers, Deep understanding of data warehouses, data lakes, ETL/ELT pipelines, orchestration, data modeling, BI platforms, semantic layers, and data quality practices, Bachelor’s degree in computer science, data science, engineering, statistics, mathematics, information systems, or a related field
Nice to Have
Advanced degrees are a plus, AI-powered self-service analytics experience, Data governance expertise, Experience establishing standards for data quality, documentation, access controls, privacy, security, auditability, metric definitions, and trusted data products, including SOX, SOC2 compliance and compliance with international data policies and regulations (e. g. , GDPR, data residency requirements)
What You'll Do.
and grow a team of data and analytics engineers
Define the data engineering and analytics roadmap
aligned with company goals
Prioritize data platform investments
analytics capabilities
and cross-functional data initiatives
and governance of the company’s data infrastructure
Ensure business stakeholders have accurate dashboards
and ad hoc analysis to support decision-making
Make self-service an organization-wide goal by building rich
trusted datasets and enabling access through AI-powered natural language interfaces
Establish standards for data accuracy
How You'll Work.
Team & Collaboration
Partnering with executives and teams across product, operations, finance, engineering, sales and marketing; Translating business goals into data strategy, dashboards and analytics products that improve decision-making
Process & Methodology
Roadmap planning
Full Job Description
At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. WHO WE ARE We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Responsibilities - Lead the Team: Lead, mentor, and grow a team of data and analytics engineers. This includes hiring, performance management, career development, planning, and setting technical standards. - Technical Leadership: Define the data engineering and analytics roadmap, aligned with company goals. This includes prioritizing data platform investments, reporting needs, analytics capabilities, and cross-functional data initiatives. - Data Platform Ownership: Oversee the design, reliability, scalability, and governance of the company’s data infrastructure, such as data warehouses, data lakes, ETL/ELT pipelines, orchestration systems, semantic layers, and BI tooling. - Analytics Delivery: Ensure business stakeholders have accurate dashboards, metrics, reporting, and ad hoc analysis to support decision-making across functions such as product, operations, finance, sales, marketing, and executive leadership. - Empowering Self-Service: Make self-service an organization-
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