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Data Management Jobs in Indiana (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Develop the Data Management Plan (DMP) and maintain the DMP throughout the lifecycle of the clinical study while ensuring that the DMP is followed in accordance with the study design and study ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Data Architect

Indianapolis, IN · On-site

$79.12K/yr

About the Indiana Management Performance Hub (MPH) The Management Performance Hub provides ... The Data Architect contributes to the design and implementation of enterprise data architecture ...

About the Indiana Management Performance Hub (MPH) The Management Performance Hub provides ... The Data Architect contributes to the design and implementation of enterprise data architecture ...

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Showing results 1-20

Data Management information

See Indiana salary details

$29.5K

$92.4K

$163.7K

How much do data management jobs pay per year?

As of Jun 1, 2026, the average yearly pay for data management in Indiana is $92,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What Is a Data Management Analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in Data Management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What are some common challenges faced by Data Management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

What are the most commonly searched types of Data Management jobs in Indiana? The most popular types of Data Management jobs in Indiana are:
What are popular job titles related to Data Management jobs in Indiana? For Data Management jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Management jobs in Indiana look for? The top searched job categories for Data Management jobs in Indiana are:
What cities in Indiana are hiring for Data Management jobs? Cities in Indiana with the most Data Management job openings:
Infographic showing various Data Management job openings in Indiana as of May 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $92,439 per year, or $44.4 per hour.

Data Management specialist - Aveva PI

Beth Page tech

Indianapolis, IN • On-site

Contractor

Posted 18 hours ago


Job description

Job Title: Data Management Specialist – Aveva PI

Location: Indiana, IN (Hybrid)

Role: Contract

Duration: 12 Months

Key Responsibilities:

  1. Collaborate with site teams, Data Integrity champions, Engineering Tech Centres, and
  2. Technical Services to define data architectures and models
  3. Participate in the overall design of scalable and compliant data architecture
  4. Develop specifications and scope documents for data management initiatives
  5. Lead the execution and delivery of data management projects
  6. Oversee and coordinate with System Integrators executing data projects
  7. Work with technical departments to design process and asset templates supporting data
  8. models
  9. Identify equipment-specific data requirements for operations, maintenance, and
  10. reporting
  11. Ensure alignment of data management with information security protocols in
  12. collaboration with the Foundry Automation Technical Office
  13. Partner with Automation Project teams to integrate data solutions with existing system
  14. architecture and schedules
  15. Align data management efforts with Digital/MES workstreams
  16. Report progress, challenges, and support needs to the Foundry Automation Program
  17. Manager
  18. Address and resolve technical queries from system integrators
  19. Contribute to the creation of effective testing strategies for system validation

Basic Qualifications: 
 

  1. Bachelor’s degree in Engineering
  2. 8+ years of data management experience in the pharmaceutical industry (API/bulk
  3. manufacturing preferred)
  4. Strong hands-on experience with Aveva PI, including:
  5. PI site infrastructure, data archive, and interfaces
  6. PI Asset Framework (Elements, Analyses, Event Frames, Notifications)
  7. PI Vision for dashboards and visualization
  8. Strong knowledge of GMPs, regulatory requirements, and computer system validation
  9. (CSV) principles
  10. Excellent verbal and written communication skills for both technical and non-technical
  11. audiences
  12. Proven ability to work collaboratively in cross-functional teams
    Preferred Qualifications:
  13. Experience integrating Aveva PI with automation systems (e.g., Emerson DeltaV Rockwell)
  14. Familiarity with OT systems and integration platforms (e.g., KepserverEx, MQTT message brokers such as HiveMQ)
  15. Experience with Logmate or equivalent alarm management systems
  16. Involvement in large-scale pharmaceutical automation programs/projects