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Senior Manager Data Analytics Jobs (NOW HIRING)

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable insights. This senior IC role builds intuitive dashboards and AI-powered data products that drive ...

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable insights. This senior IC role builds intuitive dashboards and AI-powered data products that drive ...

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable insights. This senior IC role builds intuitive dashboards and AI-powered data products that drive ...

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable insights. This senior IC role builds intuitive dashboards and AI-powered data products that drive ...

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable insights. This senior IC role builds intuitive dashboards and AI-powered data products that drive ...

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable insights. This senior IC role builds intuitive dashboards and AI-powered data products that drive ...

The Senior Manager, Data & Analytics (D&A) is responsible for leading the development, implementation, and optimization of data and analytics capabilities across the organization, including AI ...

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable insights. This senior IC role builds intuitive dashboards and AI-powered data products that drive ...

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable insights. This senior IC role builds intuitive dashboards and AI-powered data products that drive ...

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable insights. This senior IC role builds intuitive dashboards and AI-powered data products that drive ...

We are looking for a Senior Manager, Data Analytics to join our Finance Team. This individual will report into our Vice President of FP&A and Analytics and will oversee a team of Data Analysts and a ...

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

Working closely with the Senior Manager, Data Analytics, this role serves as a senior business partner to leaders across the company - owning analytics engagements end-to-end, contributing to team ...

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Showing results 1-20

Senior Manager Data Analytics information

See salary details

$45K

$114.5K

$168.5K

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

As of Jun 12, 2026, the average yearly pay for senior manager data analytics in the United States is $114,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $135,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What does a Senior Manager Data Analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

How does a Senior Manager of Data Analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

More about Senior Manager Data Analytics jobs
What cities are hiring for Senior Manager Data Analytics jobs? Cities with the most Senior Manager Data Analytics job openings:
What states have the most Senior Manager Data Analytics jobs? States with the most job openings for Senior Manager Data Analytics jobs include:
Infographic showing various Senior Manager Data Analytics job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 3% Part Time, 3% Contract, and 3% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $114,472 per year, or $55 per hour.
Sr. Manager, Data & Analytics

Sr. Manager, Data & Analytics

Specialized Bicycle Components, Inc.

Morgan Hill, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 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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