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Director Data Analytics Engineer Jobs (NOW HIRING)

Job Title: Program Director, Data & Analytics Company: Prologis A day in the life As Program ... You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data ...

Job Title: Program Director, Data & Analytics Company: Prologis A day in the life As Program ... You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data ...

Here is how the Director, Data & Analytics will help: Data Architecture & Ingestion * Oversee a ... Lead the standardization data definitions and support data architects and data engineers to ...

The Senior Director, Data & Analytics is responsible for shaping KEEN's data vision and ... Data Engineers, and Technical Data Analysts; strengthen the broader analyst community through ...

The Senior Director, Data & Analytics will shape KEEN's data vision and transform the organization ... Data Engineers, and Technical Data Analysts; strengthen the broader analyst community through ...

Data/Analytics Engineer Job Location: Westminster CO, or Christchurch NZ Our Department: Field Systems Data/Analytics Engineer - Customer 360 Data Pipelines About the Team: The Field Systems Data ...

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Director Data Analytics Engineer information

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$73K

$194.7K

$254K

How much do director data analytics engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for director data analytics engineer in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director Data Analytics Engineer, and why are they important?

To thrive as a Director Data Analytics Engineer, you need deep expertise in data engineering, analytics, and strategic leadership, supported by a degree in computer science or a related field and significant industry experience. Proficiency with big data platforms (such as Hadoop and Spark), cloud services (AWS, Azure, or Google Cloud), and advanced analytics tools, along with certifications in data management or analytics, is typically required. Exceptional communication, team leadership, and problem-solving skills help drive cross-functional collaboration and innovation. These skills and qualities are essential for effectively leading analytics initiatives, translating business needs into data solutions, and driving organizational growth through data-driven decision-making.

How does a Director Data Analytics Engineer typically collaborate with cross-functional teams to drive data-driven decision making?

As a Director Data Analytics Engineer, you will regularly collaborate with stakeholders across business units, such as product managers, IT, and executive leadership, to understand their data needs and translate them into actionable analytics solutions. This often involves leading a team of data engineers and analysts, facilitating regular meetings to align on project priorities, and ensuring data infrastructure supports strategic business objectives. Effective communication and the ability to present complex technical findings in a clear, business-friendly manner are essential for fostering a data-driven culture and influencing key decisions.

What does a Director Data Analytics Engineer do?

A Director Data Analytics Engineer oversees the design, development, and implementation of data analytics solutions within an organization. They lead teams of data engineers and analysts, set the vision for data infrastructure, and ensure that data systems effectively support business goals. Their responsibilities include managing data architecture, optimizing data workflows, and collaborating with other departments to translate business needs into technical requirements. Additionally, they are often involved in strategic planning and in establishing best practices for data governance and security.

What is the difference between Director Data Analytics Engineer vs Data Analytics Manager?

AspectDirector Data Analytics EngineerData Analytics Manager
CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's/Master's in Analytics, Business, or related field; focus on team management
Work EnvironmentStrategic leadership, overseeing analytics projects, collaborating with executivesManaging analytics teams, project execution, reporting to directors or executives
Industry UsageUsed across tech, finance, healthcare, and more for high-level analytics strategyCommon in various industries for managing analytics operations

The Director Data Analytics Engineer focuses on strategic leadership and overseeing analytics engineering initiatives, while the Data Analytics Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the director position emphasizes strategic planning and cross-department collaboration.

More about Director Data Analytics Engineer jobs
What cities are hiring for Director Data Analytics Engineer jobs? Cities with the most Director Data Analytics Engineer job openings:
What are the most commonly searched types of Data Analytics Engineer jobs? The most popular types of Data Analytics Engineer jobs are:
What states have the most Director Data Analytics Engineer jobs? States with the most job openings for Director Data Analytics Engineer jobs include:
Infographic showing various Director Data Analytics Engineer job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.
Program Director, Data & Analytics

Program Director, Data & Analytics

Prologis

Nashville, TN โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 hours ago


Job description

At Prologis, we don't just lead the industry-we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one-not just shaping the future of logistics but building what comes next.

Job Title:

Program Director, Data & Analytics

Company:

Prologis

A day in the life

As Program Director of Data & Analytics, you will help the organization turn data into action in an AI-first world. You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data Visualization, ensuring teams deliver trusted, scalable data products that enable smarter, faster decisions.

AI will be foundational to how you operate, as you identify opportunities to apply automation and agent-based workflows to improve efficiency and accelerate insight generation. You will also drive strong execution by aligning priorities, managing capacity, guiding teams toward shared outcomes, and maintaining momentum as priorities evolve.

You will oversee budgets and investments to support the highest-impact work, while shaping how the business experiences data through intuitive, scalable, self-service analytics. In close partnership with leaders, stakeholders, and external partners, you will help evolve the operating model so the organization can scale and deliver increasing value over time.

Key responsibilities include:

  • 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

Building blocks for success

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 incorporating AI, automation, or agent-based workflows into analytics or operations
  • 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 toleverageemerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.

Hiring Salary Range of: $153,000 - $211,000. Salary and whole compensation package (bonus target & LTI (Long Term Incentives) to be determined by the candidate's location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

#LI-TA1

People First

Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.

When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.

As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.

All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.

All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Employment Type:

Full time

Location:

Denver, Colorado

Additional Locations:

Atlanta, Georgia, Cerritos, California, Dallas, Texas, East Rutherford, New Jersey, Las Vegas, Nevada, Los Angeles, California, Nashville, Tennessee, New York, New York, San Francisco, California

Prologis logo

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

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