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Manager Data Analytics Engineer Jobs (NOW HIRING)

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our ... Translate ambiguous requests from Finance, Marketing, Revenue Management, Operations, and ...

Molina Healthcare

Manager, Data Analytics

Long Beach, CA · On-site +1

$79K - $172K/yr

Job Summary Manages the activities of the Data Analytics and Reporting team. Performs research and ... Experience working on PowerBI for reporting and data engineering using databricks is required

General Motors

Data Analytics Engineer

Warren, MI · On-site

$107K - $129K/yr

... and Oracle SQL Developer to perform Complex data analysis to support General Motors' Global ... Certification Management System (SCMS) in cross-functional and cross-departmental projects.

True Classic

Data & Analytics Engineer

Los Angeles, CA

$123K - $148K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Mattel

Manager, Data Analytics

El Segundo, CA · On-site

Partner closely with data engineering teams to design and improve scalable data pipelines, data ... analytics, CRM, marketing systems, and operational data * Contribute to improvements in data ...

Mattel

Manager, Data Analytics

El Segundo, CA · On-site

Partner closely with data engineering teams to design and improve scalable data pipelines, data ... analytics, CRM, marketing systems, and operational data * Contribute to improvements in data ...

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Manager Data Analytics Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jul 11, 2026, the average yearly pay for manager data analytics engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon 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.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
More about Manager Data Analytics Engineer jobs
What cities are hiring for Manager Data Analytics Engineer jobs? Cities with the most Manager 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 Manager Data Analytics Engineer jobs? States with the most job openings for Manager Data Analytics Engineer jobs include:
What job categories do people searching Manager Data Analytics Engineer jobs look for? The top searched job categories for Manager Data Analytics Engineer jobs are:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Sr. Manager, Data & Analytics

Sr. Manager, Data & Analytics

Specialized Bicycle Components, Inc.

Morgan Hill, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Sr. Manager, Data & Analytics
About the Role
We are seeking a Senior Manager of Data & Analytics Engineering to lead our data platform teams and power decision-making across the company. In this senior leadership position, you will own and evolve our end-to-end data platform-from ingestion and transformation to analytics layers that business teams rely on daily. You'll oversee Data Engineering (infrastructure, pipelines, reliability) and Analytics Engineering (data models, metrics, self-serve tooling), while championing an AI-first approach to the way we build, operate, and innovate.
Four Pillars of This Role
  • Platform Leadership: Own the architecture and roadmap for the modern data stack, from source systems through to consumption layers.
  • Team Building: Hire, grow, and inspire both data engineers and analytics engineers, fostering a culture of quality, curiosity, and ownership.
  • AI Integration: Embed AI tooling natively into the team's workflows for build, testing, documentation, and monitoring of our data platform.
  • Business Partnership: Translate commercial priorities into robust data infrastructure that is agile, trusted, and scalable.

What you will do:
  • Define and own the multi-year roadmap for the data platform, aligning investments in infrastructure, tooling, and headcount with business strategy.
  • Lead and grow the Data and Analytics team, cultivating a collaborative, feedback-rich environment with clear career pathways.
  • Architect and oversee scalable data pipelines across ingestion, transformation, orchestration, and delivery, for both batch and streaming use cases.
  • Champion best practices in analytics engineering, including semantic layer design, dbt modelling standards, data contracts, and metrics governance.
  • Partner with business stakeholders to deliver high-quality, self-serve data solutions aligned to business needs.
  • Ensure data platform reliability, observability, SLAs, and incident response, treating the platform as a product with real users.
  • Drive vendor and tool evaluations for the modern data stack (cloud warehouse, orchestration, cataloging, transformation, reverse ETL, etc.).
  • Set and enforce data quality, documentation, and governance standards to build trust across the business.
  • AI-assisted development: Champion use of AI coding assistants and LLM-powered tooling (e.g. Cursor, GitHub Copilot, Claude) to accelerate delivery and reduce toil.
  • Intelligent data pipelines: Implement AI-native patterns-LLM-generated documentation, anomaly detection, data quality monitoring, and automated root-cause analysis.
  • Natural language interfaces: Prototype NL-to-SQL and AI-powered BI tools to empower self-serve analytics for non-technical users.
  • AI platform enablement: Build foundational data infrastructure (feature stores, vector stores, model metadata, evaluation datasets) to enable AI and ML experimentation and scale.

What you'll need to know/have:
  • 7+ years in data engineering or analytics engineering, with 3+ years in a senior leadership role managing multiple teams
  • Deep expertise in the modern data stack-cloud data warehouses (Snowflake, BigQuery, or Databricks), dbt, orchestration tools (Airflow, Dagster, or Prefect), and ELT frameworks
  • Strong command of SQL and Python
  • Hands-on experience integrating AI/LLM tooling into engineering workflows or data products
  • Proven ability to define and execute a multi-year data platform strategy
  • Strong stakeholder management, including executive presentations and translating technical concepts to non-technical audiences
  • Experience building and scaling high-performing engineering teams: hiring, mentoring, performance management
  • Track record of delivering trusted, well-documented, and widely adopted data products

It would be great if you also had:
  • Familiarity with semantic layer tools (e.g. MetricFlow, Cube), data cataloging (e.g. Atlan, Datahub), and data observability platforms
  • Experience with streaming data (Kafka, Flink, or Kinesis) and batch processing
  • Exposure to data mesh or data product organizational models

Additional Job Description
BENEFITS
As a full-time, regular teammate, you are eligible for the following benefits, beginning the first of the month following your start date.
Benefits include:
  • Competitive pay with annual performance-based reviews for continued growth and recognition
  • Comprehensive healthcare plan options, including PPO, EPO, HDHP, and HMO (acupuncture and physical therapy included)
  • Health Savings Account (HSA) with employer HSA contributions when enrolled in the High-Deductible Healthcare Plan (HDHP)
  • Dental and Vision plans
  • 401(k) Company Matching up to $5,000 annually with immediate 100% vesting and administrative fees paid for by the company
  • Company-paid Life, AD&D, Short-Term Disability, and Long-Term Disability Insurance
  • Employee Assistance Program that provides access to individualized mental well-being care
  • Generous Vacation, Sick, Paid Holidays, and Volunteer Time Off
  • 14 weeks of 100% paid leave for birthing parents and 8 weeks of 100% paid leave for non-birthing parents, plus a Specialized bike for your new baby
  • Up to $9,000 annually in Career Development & Degree Assistance
  • Up to $250 annually in Fitness & Wellness Reimbursement
  • Industry Pro-Deal Discounts and Perks

For additional information on benefits and perks, please visit: https://benefits.specialized.com.
PAY
Below is a summary of compensation elements for this role at the company if based in the following locations:
California Base Pay Range: ($119,628 - $208,153 )
*At Specialized, your base pay is one part of your total compensation package and will depend on your work experience, skills, certification, and location.
We want to increase representation of all races, genders, and body types in the cycling industry and are committed to building a diverse and inclusive workforce where all people thrive. We encourage everyone - especially those from marginalized groups - to apply to our job postings and help us earn the position as the rider's brand of choice. We are always looking for creative, innovative, and passionate people who are eager to contribute to our mission of pedaling the planet forward. Regardless of your qualifications, if you are ready to make a difference, please apply and let us know how you can make an impact at Specialized!
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