Business Intelligence Engineering Manager

BI Manager, DSP Analytics, WW DSP Analytics

Are you passionate about building high-performing data engineering teams that deliver best-in-class data products and solutions? Do you want to make a long-term impact on technology and business strategy? Are you ready to shape the future of small business owners in Last Mile delivery? We are seeking an experienced technical leader to join the Last Mile Delivery Service Partner (DSP) Analytics organization as an Business Intelligence Engineering Manager.

In this role, you will lead a team of Engineers (Business Intelligence Engineers and Data Scientists) to build and maintain robust data and reporting that enables DSP Performance measurement and continuous improvement. You will drive the development of scalable data solutions, simplify data access, and unlock self-service insights through automation and best practices.

Key job responsibilities
Team Leadership & Development

Build, mentor, and lead a high-performing team of Business Intelligence Engineers to create and support datasets, metrics, and KPIs aligned with DSP business goals

Recruit top talent and foster a culture of innovation, collaboration, and professional growth

Provide guidance, feedback, and performance evaluations to team members, driving their technical development and career success

Develop team members' technical skills in data engineering, distributed systems, and cloud technologies

Technical Strategy & Execution

Partner with Data Engineers (DEs), Product Management Teams (PMTs), Software Development Managers (SDMs), and technical teams to build relevant data products and solutions

Define and develop data infrastructure, including data pipelines, data warehousing, and ETL/ELT processes

Drive data governance initiatives including data integrity, metrics definitions, single source of truth, accountability, and documentation

Implement tooling and automation to continuously measure KPIs and empower Delivery Associates (DAs) and DSPs to improve safety, quality, and experience

Stay current with technology trends, methodologies, and tools in AI/Automation, recommending, and implementing technologies that enhance capabilities and efficiencies

Business Partnership & Strategy

Establish strategic partnerships with business stakeholders to understand requirements and translate them into technical solutions

Build the team's 1-year plan (1YP) and 3-year plan (3YP) vision and effectively communicate progress on key initiatives

Own and drive roadmap strategy and definitions for data engineering deliverables

Make feature delivery decisions and manage tradeoffs in data product development

Contribute to engineering, technology, and data product strategy decisions at the organizational level

Data Products & Analytics Enablement

Oversee development of data products including scorecards, incentive systems, dashboards, and visualizations for key metrics and KPIs

Partner with DSP Performance program managers to develop relevant and defensible metrics that drive and track business strategy

Enable self-service analytics capabilities for business users through well-designed data models and documentation

Basic Qualifications

- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

Preferred Qualifications

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
- Experience with data orchestration tools (Airflow, Step Functions, or similar)
- Experience with modern data stack tools and practices

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Experience Level

Mid Level