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Senior Data Manager Jobs in Springfield, MO (NOW HIRING)

Bass Pro Shops

Sr Manager, Risk Management

Springfield, MO · On-site

$150 - $210/hr

## Sr Manager, Risk ManagementApplylocations: Springfield, MO (Bass Pro Shops Base Camp)time type ... Analyze claims data and loss trends to identify root causes, recommend operational changes to ...

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Senior Data Manager information

See Springfield, MO salary details

$70.8K

$110.4K

$165.5K

How much do senior data manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior data manager in Springfield, MO is $110,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $123,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior data manager, and why are they important?

To thrive as a Senior Data Manager, you need expertise in data management principles, database design, and statistical analysis, usually backed by a degree in computer science, information systems, or a related field. Familiarity with database management systems (e.g., SQL, Oracle), data integration tools, and certifications like CDMP or DAMA are highly valued. Leadership, problem-solving, and effective communication are critical soft skills for managing teams and collaborating across departments. These skills ensure accurate data governance, efficient project execution, and the alignment of data strategy with business goals.

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

AspectSenior Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentOversees data teams, manages data systems, and ensures data qualityAnalyzes data sets, creates reports, and supports decision-making
Employer & Industry UsageUsed in corporate, healthcare, finance sectors for data governanceCommon in marketing, research, and business intelligence roles

The main difference is that Senior Data Managers focus on overseeing data operations and strategy, while Data Analysts primarily analyze data to generate insights. Senior Data Managers have broader responsibilities in data governance and team management, whereas Data Analysts concentrate on data interpretation and reporting.

What is a senior data manager?

A Senior Data Manager is a professional responsible for overseeing the collection, management, and analysis of large sets of data within an organization. They ensure data quality, integrity, and security, and often lead a team of data professionals such as analysts and data engineers. Senior Data Managers collaborate with IT, business, and analytics teams to support data-driven decision-making and compliance with data regulations. They typically have several years of experience in data management, strong technical skills, and leadership abilities.

How much does a senior data manager get paid?

The average salary for a senior data manager typically ranges from $90,000 to $130,000 annually, depending on experience, industry, and location. They often require strong skills in data analysis, database management, and familiarity with tools like SQL and data visualization software.

What are some typical challenges faced by senior data managers when implementing new data governance policies?

Senior Data Managers often encounter challenges such as resistance to change from stakeholders, integrating new policies with existing legacy systems, and ensuring consistent data quality across departments. Effective communication and cross-team collaboration are crucial to overcome these hurdles, as is providing ongoing training to staff. Additionally, Senior Data Managers need to balance compliance requirements with business objectives to ensure that new policies are both practical and sustainable.
What are popular job titles related to Senior Data Manager jobs in Springfield, MO? For Senior Data Manager jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Senior Data Manager jobs in Springfield, MO look for? The top searched job categories for Senior Data Manager jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Senior Data Manager jobs? Cities near Springfield, MO with the most Senior Data Manager job openings:
Senior Data Manager jobs near you
Infographic showing various Senior Data Manager job openings in Springfield, MO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $110,351 per year, or $53.1 per hour.

Senior Data Engineer I

Heartland Business Systems LLC

Springfield, MO • On-site

$90K - $122K/yr

Full-time

Re-posted 20 days ago

Heartland Business Systems rating

8.0

Company rating: 8.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

71st of 223 rated it services

Job description

Job Type
Full-time
Description
Position Summary:
This position would require a candidate to possess a strong technical background in developing and delivering BI solutions along with a strong understanding of SQL Server environments. Business intelligence (BI) is a set of technologies and practices for transforming business information into actionable reports and visualizations. The Senior Data Engineer transforms data into a useful format for analysis and is focused on the design and architecture.
A Senior Data Engineer is the data professional who prepares the data infrastructure to be leveraged by the HBS BI Data Developers. The Senior Data Engineer will design, build, integrate data from various resources and manage big data. The Senior Data Engineer ensures the operations of the data pipeline follow a consistent process of Ingestion, Processing, Storage and Access. The work involves tuning databases for fast analysis and creating table schemas.
The Senior Data Engineer is responsible for making data easily accessible, ensuring the process works smoothly and is optimized. The Senior Data Engineer is a critical firm member of the Data Team, The Senior Data Engineer will run Extract, Transform and Load (ETL) on top of datasets and create data warehouses that can be used for reporting and analysis. The Senior Data Engineer ensures the operations of the data pipeline follow a consistent process of Ingestion, Processing, Storage and Access.
Roles and Responsibilities/ Essential Functions:
  • Meet with clients to understand their current business processes and needs to provide consulting services and direction on how to build or grow their current data strategy.
  • Work with HBS Sales Solutions consultants to identify and grow opportunities within HBS client environments.
  • Support and administer the underlining infrastructure and layout of a client data environment.
  • Develop and design the process for the customer data collection process.
  • Develop policies and procedures for the collection and analysis of data.
  • Review customer sources to ensure integrity of the data collection process.
  • Collaborate with the BI Data Developers to ensure the requirements are being met to build the right solution needed.
  • Estimate development effort required to deliver data customer needs and requests.
  • Use business analysis skillset to identify development needs for the purpose of streamlining and improving the operations of the organization for efficiency and profitability.
  • Ability to work independently or as a team on project-based solutions for clients.
  • Work with team mates to continue to grow and mature data services and delivery options for HBS clients.
  • Based on experience, one may mentor other engineers in developing scalable, secure, high-performance BI and Data solutions.
  • Meet annual billable hour goal, as defined by HBS. This number may change over time as the business evolves.

Requirements
Competencies:
  • Accuracy - Ability to produce high quality work deliverables leveraging industry best practices.
  • Analytical Skills - Strong abilities required to effectively interpret customer business needs and translate them into application and operational requirements, resolving complex technical and business problems.
  • Communication - strong written, verbal, and non-verbal communication skills, especially conveying complex information in an understandable manner.
  • Leadership - Ability to motivate and guide others to ensure performance is in accordance with clear expectations and goals.
  • Learning - Ability to quickly learn new technologies to deliver solutions.
  • Presentation Skills - Ability to effectively conduct formal and informal presentations in both small and large group settings within all levels of a company.
  • Project Management - Ability to demonstrate an understanding of process engineering, planning, organizing, staffing, directing, and controlling work tasks.
  • Time Management - Ability to effectively utilize available time for managing multiple tasks/projects simultaneously.

Required Experience:
  • 7+ years of experience in technology related role
  • Data Model Design (Physical or Conceptual or both)
  • Experience with needs analysis, software evaluation and selection, customization, and implementation
  • Data Warehousing systems and architecture experience in 'real world', practical, successful implementations
  • Understand multi-dimensional/relational database structures and schemas.
  • Strong knowledge of system design, development, and deployment
  • Microsoft BI Suite Experience (Excel, Microsoft SQL Server Integration Services (SSIS), Azure Data Factory (ADF), etc.)
  • Programming and Processing Experience (T-SQL, ETL, etc.)
  • Azure Experience in Azure SQL Database or Azure SQL Manage Instance
  • Strong knowledge of SQL utilizing MS SQL Server
  • Expertise in Professional Services or similar client facing roles

Preferred Experience:
  • Experience in multiple industry (Education, Healthcare, Retail, Manufacturing) verticals
  • PowerShell knowledge and understanding
  • Understanding of report writing and visualization
  • GitHub Copilot experience
  • Microsoft BI Suite Experience (Power BI or Fabric)
  • Microsoft certified: Data Analyst Associate
  • Microsoft certified: DP-200 - Implementing an Azure Data Solution
  • Microsoft certified: DP-201 - Designing an Azure Data Solution
  • Microsoft certified: DP-300 - Administering Relational Databases on Microsoft Azure
  • Other SQL platform knowledge (Oracle, MySQL, PostgreSQL, etc.)

Required Skills, Education and/ or Certifications:
  • Bachelor's degree in business or I.T. related discipline accepted or equivalent experience

Equal Opportunity Employer - Including Disabled and Veterans
#HBS

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