... Engineering, Analytics Engineering, and Data Visualization, ensuring the delivery of trusted ... ROI • Manage vendor partnerships and external resources to ensure strong performance ...
... Engineering, Analytics Engineering, and Data Visualization, ensuring the delivery of trusted ... ROI • Manage vendor partnerships and external resources to ensure strong performance ...
Bachelor's degree in Computer Science, Engineering, or a related field * 6+ years of experience in ... We're looking for an experienced data and analytics professional with management experience and a ...
Bachelor's degree in Computer Science, Engineering, or a related field * 6+ years of experience in ... We're looking for an experienced data and analytics professional with management experience and a ...
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You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data ... You will also drive strong execution by aligning priorities, managing capacity, guiding teams ...
Program Director, Data & Analytics
Las Vegas, NV · On-site +1
You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data ... You will also drive strong execution by aligning priorities, managing capacity, guiding teams ...
Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...
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Manager Data Analytics Engineer information
See Las Vegas, NV salary details
$42.5K - $54K
0% of jobs
$54K - $65.6K
1% of jobs
$65.6K - $77.1K
3% of jobs
$77.1K - $88.7K
4% of jobs
$88.7K - $100.2K
7% of jobs
$110.3K is the 25th percentile. Wages below this are outliers.
$100.2K - $111.8K
11% of jobs
$111.8K - $123.3K
12% of jobs
The median wage is $126.4K / yr.
$123.3K - $134.9K
45% of jobs
$134.9K - $146.4K
8% of jobs
$146.4K - $158K
5% of jobs
$158K - $169.5K
3% of jobs
$42.5K
$123.9K
$169.5K
How much do manager data analytics engineer jobs pay per year?
What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?
How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?
What is a Manager Data Analytics Engineer?
What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?
| Aspect | Manager Data Analytics Engineer | Data Analytics Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Data Science, Analytics, or related field; often leadership experience | Bachelor's or Master's in Data Science, Analytics, or related field |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders | Develops data models, analyzes data, implements solutions |
| Employer & Industry Usage | Used in tech, finance, healthcare, and large enterprises | Common in similar industries, often within data teams |
The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

Job description
Prologis is a leading company in intelligent infrastructure that powers global commerce. As the Program Director of Data & Analytics, you will connect strategy to execution across Data Engineering, Analytics Engineering, and Data Visualization, ensuring the delivery of trusted, scalable data products for smarter decision-making.
Responsibilities:
• Drive AI-first adoption across Data & Analytics, identifying and implementing opportunities for AI, automation, and agent-based workflows to transform analytics and team operations
• Run operating rhythms (planning, OKRs, delivery tracking, reporting) to drive alignment, accountability, and transparency across Data & Analytics, ensuring OKRs are clearly defined, aligned across teams, and tracked with measurable outcomes
• Monitor delivery health, proactively identify risks, bottlenecks, and dependencies, and drive continuous improvement in execution and team performance
• Coordinate resource allocation and prioritization across teams to balance demand, capacity, and strategic priorities, including managing trade-offs when demand exceeds capacity
• Own financial management across the function, including budgets and forecasts spanning multiple capabilities and cost centers, ensuring investments are aligned to strategic priorities and maximize ROI
• Manage vendor partnerships and external resources to ensure strong performance, accountability, and cost efficiency
• Lead the Data Visualization capability, defining its evolution in an AI-first world and ensuring delivery of trustworthy, scalable, self-service analytics aligned with AI-enabled insights, including oversight of tools such as Sigma, Tableau, and ESRI
• Promote data-driven decision-making and drive adoption of analytics through governance, communication, and change leadership
• Ensure analytics products and services are reliable, secure, well-documented, and supported through strong production support, issue resolution, and continuous enhancement practices
Qualifications:
Required:
• 10+ years of experience in Data, Analytics, or Technology roles
• 5+ years of leadership experience across cross-functional or delivery-focused organizations
• Proven experience driving AI, automation, or advanced analytics adoption within teams or organizations
• Proven experience managing planning cycles, OKRs, and delivery in complex environments
• Strong understanding of modern data and analytics ecosystems (e.g., SQL, BI tools, data platforms)
• Proven ownership of end-to-end financial management across multiple capabilities and cost centers, including budgeting, forecasting, investment prioritization, and cost optimization
• Proven experience managing external vendors, consulting partners, and geographically dispersed teams
• Demonstrated ability to operate across multiple teams and influence without direct authority
• Excellent communication and stakeholder management skills
Preferred:
• Experience incorporating AI, automation, or agent-based workflows into analytics or operations
• Experience working within Data & Analytics organizations (Data Engineering, Analytics Engineering, BI/Visualization)
• Familiarity with platforms such as Snowflake and enterprise BI tools
• Experience with product or pod-based delivery models, including working with globally distributed and remote teams
• Strong change management mindset and comfort operating in evolving environments
• Demonstrate willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.
Company:
Prologis is an owner, operator, and developer of industrial real estate, logistics, and supply chain. Founded in 1983, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Prologis
Sourced by ZipRecruiter
Prologis is a global leader in logistics real estate, specializing in the development, ownership, and management of high-quality industrial properties. With a vast portfolio of distribution centers, warehouses, and logistics facilities, Prologis plays a crucial role in supporting the global supply chain and enabling efficient commerce. As the world's largest owner of logistics real estate, Prologis provides state-of-the-art facilities strategically located in key logistics hubs across the globe. Prologis properties are designed to meet the evolving needs of e-commerce, retail, manufacturing, and logistics companies, offering modern amenities, advanced technology, and sustainable features.
Industry
Real estate
Company size
1,001 - 5,000 Employees
Headquarters location
San Francisco, CA, US
Year founded
1983