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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 ...

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data ... They must be self-directed and comfortable supporting the data needs of multiple teams, systems and ...

The Senior Director, Data & Analytics will shape the company's data vision, transforming it into a ... 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

Westminster, CO · On-site

$122K - $168K/yr

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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$73K

$194.7K

$254K

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

As of Jul 13, 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 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.

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 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.

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:
Director, Data & Analytics Engineer

Director, Data & Analytics Engineer

Morgan Stanley

New York, NY • On-site

$170K/yr

Full-time

Posted 18 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz

40th of 148 rated financial services


Job description

Company Profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
What you'll do in the role:
Morgan Stanley Services Group, Inc. is seeking a Director, Data & Analytics Engineer in New York, New York to develop and maintain critical trading and servicing applications using Python, Java, React, Spring Boot, and other technologies. Build operations workflows for Fixed Income and Lending business to enhance efficiency, reliability, and scalability. Design and implement straight-through processing for servicing and trading of Commercial Real Estate, Leveraged Loans, FID Secured Lending, and more. Integrate data from internal and external sources to provide a holistic view of desk inventories and servicing states for operations. Leverage GenAI to automate manual operations tasks and accelerate trade settlement and event handling for high-volume transactions. Perform unit testing, component testing, integration testing to ensure high quality software is delivered. Monitor applications and provide support in production. Develop automated CI/CD processes for delivering quality software into production. Work in an agile scrum team and contribute to agile processes. Telecommuting permitted up to 2 days per week.
What you'll bring to the role:
-Requires a Bachelor's in Engineering (any), Computer Science, or related field of study.
-Requires four (4) years of experience in the position offered or four (4) years as an Analyst, Technology; Developer; or related occupation in the technology field.
- Requires Four (4) years of experience with the following skills:
  • Develop and maintain critical trading and servicing applications using Python, Java, React, and Spring Boot;
  • SQL and relational DB concept.
  • Exposure of Agile Methodologies;
  • Gradle;
  • REST;
  • Redhat Tomcat;
  • Mockito;
  • Postman;
  • IntelliJ;
  • JDBC;
  • JSON;
  • YAML;
  • Angular;
  • Javascript and Typescript;
  • C++;
  • GCC/GNU Compiler;
  • UNIX;
  • Shell Scripting;
  • Autosys Job Scheduling;
  • Jira;
  • GIT;
  • Bitbucket;
  • Sonar;
  • Jenkins;
  • Python;
  • Pandas; and
  • KDB/q.

Requires Three (3) years of experience with:
  • Informatica Power Center; and
  • Teradata SQL Studio.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $170,000 and $170,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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