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Senior Manager Data Analytics Jobs in Romeoville, IL

Clarus

Sr Manager, Data Engineering

Chicago, IL · On-site +1

Role Overview We are seeking an experienced and hands-on Senior Manager, Data Engineering to lead ... This role will partner closely with Engineering, Product, Analytics, and business leaders to ...

Cccis

Sr. Manager Data Platform

Chicago, IL · Hybrid

The Role CCC is looking for a Senior Manager of the CCC data platform that will lead a team of diversely skilled database engineers who architect, build, and maintain various data technologies for ...

Purple Carrot

Manager, FP&A

Chicago, IL · On-site

As an integral part of the Data & Analytics department, you will join forces with our Sr. Manager, Data and Analytics (to whom you will also report) in our continued effort to inspire people to eat ...

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All JobsData Analytics JobsSenior Manager Data Analytics JobsSenior Manager Data Analytics Jobs in Romeoville, IL

Senior Manager Data Analytics information

See Romeoville, IL salary details

$45.9K

$116.7K

$171.8K

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

As of Aug 15, 2026, the average yearly pay for senior manager data analytics in Romeoville, IL is $116,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $137,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

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 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.

What are popular job titles related to Senior Manager Data Analytics jobs in Romeoville, IL?

For Senior Manager Data Analytics jobs in Romeoville, IL, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in Romeoville, IL look for?

The top searched job categories for Senior Manager Data Analytics jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Senior Manager Data Analytics jobs?

Cities near Romeoville, IL with the most Senior Manager Data Analytics job openings:

Senior Manager Data Analytics jobs near you
Infographic showing various Senior Manager Data Analytics job openings in Romeoville, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $116,717 per year, or $56.1 per hour.

Sr Manager, Data Engineering

Clarus

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

At Clarus, we are harnessing intelligence to propel pet health towards a brighter, smarter, more connected future. A future where information flows freely across caregivers & care environments, insights are more instant and actionable, and financial decisions are empowered.
For us, that future starts by fundamentally changing how pet insurance operates. We're engineering systems that decomplexify coverage and facilitate reimbursement, so more pets can get the care they deserve.
Our team of pet industry veterans and passionate pet people come from across the tech and health continuums. Together, we're openly challenging industry convention in service of creating totally new possibilities. Which is why our culture is built on the values of curiosity, entrepreneurship, humility and fierce collaboration.
Role Overview
We are seeking an experienced and hands-on Senior Manager, Data Engineering to lead the strategy, architecture, and execution of Clarus' modern data platform. This role will be responsible for building and scaling foundational data capabilities across data ingestion, master data management (MDM), data quality, and platform engineering.
As a growing organization, Clarus values leaders who can balance strategic thinking with hands-on execution. The ideal candidate thrives in fast-paced environments, enjoys solving complex data challenges, and is excited to build scalable data foundations that enable products, analytics, operational workflows, and business decision-making.
This role will partner closely with Engineering, Product, Analytics, and business leaders to establish trusted, high-quality data assets and deliver a data platform capable of supporting Clarus' next stage of growth.
Key Responsibilities
  • Define and execute the roadmap for data engineering capabilities aligned with business and product priorities.
  • Design, build, and optimize scalable batch and real-time data ingestion frameworks using Azure Databricks, ADLS Gen2, and Azure-native technologies.
  • Establish reusable data engineering patterns, orchestration standards, and platform best practices.
  • Drive reliability, observability, performance optimization, and cost efficiency of data pipelines and infrastructure.
  • Lead the strategy and implementation of Master Data Management (MDM) capabilities across key business domains.
  • Define and govern trusted data assets and golden records for critical business entities including customers, products, providers, and partners.
  • Partner with business, product, and analytics stakeholders to ensure consistent and trusted enterprise data.
  • Develop scalable approaches for entity resolution, matching, taxonomy management, and hierarchical data modeling.
  • Champion modern lakehouse architecture principles and modular data design.
  • Establish robust data quality frameworks, monitoring, SLAs, and operational support processes.
  • Ensure alignment with enterprise governance, security, privacy, and regulatory requirements.
  • Lead, mentor, and grow a team of data engineers while fostering a culture of ownership, collaboration, and continuous improvement.
  • Contribute directly to architecture decisions, technical design, and critical implementation efforts when needed.
  • Drive agile delivery, sprint planning, and engineering best practices across the team.
  • Establish CI/CD standards, testing strategies, and DataOps best practices to support platform scalability and reliability.

Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in data engineering, data platform development, or related disciplines.
  • 2+ years of experience leading technical teams, mentoring engineers, or serving in a technical leadership capacity.
  • Deep experience with Azure cloud data platforms, including Azure Databricks, ADLS Gen2, Azure Data Factory, Event Hub, and related services.
  • Strong experience building modern data platforms, lakehouse architectures, and distributed data processing solutions.
  • Experience developing and implementing Master Data Management (MDM) solutions and enterprise data models.
  • Expertise with SQL, Python, Spark, and modern data engineering frameworks.
  • Experience building and supporting both batch and real-time data processing pipelines.
  • Strong understanding of data governance, metadata management, data quality, and security best practices.
  • Experience implementing CI/CD pipelines, DevOps practices, and infrastructure automation.
  • Excellent communication skills with the ability to influence technical and non-technical stakeholders.
  • Experience in healthcare, insurance, pet health, or other highly regulated industries is a plus.
  • Experience with entity resolution, probabilistic matching, or customer data platforms is a plus.

All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:
  • Comprehensive full medical, dental and vision Insurance
  • Basic Life Insurance at no cost to the employee
  • Company paid short-term and long-term disability
  • 12 weeks of 100% paid Parental Leave
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Retirement savings plan
  • Personal Paid Time Off
  • Paid holidays and company-wide Wellness Day off
  • Paid time off to volunteer at nonprofit organizations
  • Pet friendly office environment
  • Commuter Benefits
  • Group Pet Insurance
  • On the job training and skills development
  • Employee Assistance Program (EAP)

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