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Data Manager Jobs in Indiana (NOW HIRING)

CFS

ERP Project - BOM Data Special

Osceola, IN

$79.50K - $85K/yr

The ERP Project - BOM Data Specialist will be responsible for managing and cleansing large datasets, primarily focusing on Bill of Materials (BOM) updates. This role requires a keen eye for detail ...

New

CFS

ERP Project - BOM Data Special

Granger, IN

$79.50K - $85K/yr

The ERP Project - BOM Data Specialist will be responsible for managing and cleansing large datasets, primarily focusing on Bill of Materials (BOM) updates. This role requires a keen eye for detail ...

New

CFS

ERP Project - BOM Data Special

Bristol, IN

$79.50K - $85K/yr

The ERP Project - BOM Data Specialist will be responsible for managing and cleansing large datasets, primarily focusing on Bill of Materials (BOM) updates. This role requires a keen eye for detail ...

New

CFS

ERP Project - BOM Data Special

Elkhart, IN

$79.50K - $85K/yr

The ERP Project - BOM Data Specialist will be responsible for managing and cleansing large datasets, primarily focusing on Bill of Materials (BOM) updates. This role requires a keen eye for detail ...

Beacon Health System

Data Engineer

Granger, IN · On-site

$102.70K - $123.30K/yr

Reports to the Manager, Business Intelligence. The Data Engineer delivers insights and supports data driven decision making at Beacon. On a daily basis, the Data Engineer will assist in maintaining ...

Motorola

$165K - $190K/yr

We're seeking a visionary Senior Manager to lead our Critical Data Models (MDM) team that manages our master data platforms and models for customer, supplier, and product. You'll build and mentor a ...

MEYER DISTRIBUTING INC

Data Entry Technician

Jasper, IN

$15.25 - $19.75/hr

Previous data management experience preferred Responsibilities, but are not limited to: * Collecting and analyzing data from manufacturers and third-party sources * Setting up new products while ...

Rolls-Royce

Data Center Manager

Indianapolis, IN

$159.60K/yr

Data Center Manager Working Pattern: Full Time Working location: Indianapolis, IN (Hybrid/3 days week onsite) Rolls Royce has a wonderful opportunity for an experienced Data Center Manager to join ...

Rolls-Royce

Data Center Manager

Indianapolis, IN · On-site

$159.60K/yr

Data Center Manager Working Pattern: Full Time Working location: Indianapolis, IN (Hybrid/3 days week onsite) Rolls Royce has a wonderful opportunity for an experienced Data Center Manager to join ...

Wabash

Director, Enterprise Data

Lafayette, IN

The Director leads cross-functional teams to define master data standards, data management processes, architecture frameworks, and data platform optimization. They will serve as a trusted advisor to ...

TEKsystems

Data Center Manager

Indianapolis, IN

$45.67 - $48.07/hr

Skills Data center, network management, vmware, infrastructure network, windows server, cisco routers, cisco switches, cisco networking, infrastructure project management, virtualization, active ...

TEKsystems

Data Center Manager

Indianapolis, IN

$45.67 - $48.07/hr

Skills Data center, network management, vmware, infrastructure network, windows server, cisco routers, cisco switches, cisco networking, infrastructure project management, virtualization, active ...

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All JobsData Manager JobsData Manager Jobs in Indiana

Data Manager information

See Indiana salary details

$29.5K

$92.4K

$163.7K

How much do data manager jobs pay per year?

As of May 30, 2026, the average yearly pay for data manager 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 Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

More about Data Manager jobs
What are the most commonly searched types of Data jobs in Indiana? The most popular types of Data jobs in Indiana are:
What are popular job titles related to Data Manager jobs in Indiana? For Data Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Manager jobs in Indiana look for? The top searched job categories for Data Manager jobs in Indiana are:
What cities in Indiana are hiring for Data Manager jobs? Cities in Indiana with the most Data Manager job openings:
Data Manager jobs near you
Infographic showing various Data Manager job openings in Indiana as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $92,439 per year, or $44.4 per hour.
Lead Data Engineer (Data Engineer)

Lead Data Engineer (Data Engineer)

Indiana University

Bloomington, IN • On-site

$105.90K - $127.20K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 7 days ago

Job description

The Kelley School of Business at Indiana University (IU) is a comprehensive provider of top-tier business education with a full portfolio of undergraduate, graduate, doctoral, and executive programs on campuses in Bloomington and Indianapolis, and online worldwide. The Kelley School has been creating career momentum for 100 years, going from 70 students in 1920 to an enrollment of more than 15,000 students today. Our innovative curriculum is built on personal development, teamwork, and experiential learning with an emphasis on global and social responsibility. Our success is reflected in our reputation among academic peers, our career placement statistics, and the accomplishments of more than 137,000 living alumni around the globe.
Job Summary
  • Performs advanced data management tasks, including complex data modeling, conversion, de-duplication, migration, and identification and repair of data quality issues.
  • Designs, develops, and implements complex custom data systems and advanced reconciliation tools, processes, rules, solutions etc. to validate data, match/merge, and upload batch lists.
  • Creates and tunes highly complex stored procedures and queries for advanced data management and extraction.
  • May contribute to committees and communities of practice to share and improve data engineering practices across the university; provides a high level of consultation and mentoring to other groups and staff on the use of data engineering tools and software.
  • Makes recommendations to improve, as well as implements, documentation and security protocols and procedures for data engineering projects and/or activities; fixes complex problems and resolves issues accordingly.
  • Provides advanced troubleshooting and problem analysis/resolution for data related issues; acts as a point of escalation for junior team members; performs advanced scripting and modifications of application and products for corrective action.
  • Performs advanced-level research and stays up-to-date with data engineering best practices and approaches; stays abreast of latest security threats and risks to proactively address potential exposures.
  • May serve as project lead; often provides guidance to junior peers.
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree (preferably in computer science, information science, or related field.)
WORK EXPERIENCE
Required
  • 5 years data management, engineering, or related experience.
SKILLS
Required
  • Proficient communication skills.
  • Maintains a high degree of professionalism.
  • Demonstrates time management and priority setting skills.
  • Demonstrates a high commitment to quality.
  • Possesses flexibility to work in a fast paced, dynamic environment.
  • Seeks to acquire knowledge in area of specialty.
  • Highly thorough and dependable.
  • Demonstrates a high level of accuracy, even under pressure.
  • Possesses a high degree of initiative.
  • Ability to influence internal and/or external constituents.
Preferred
  • Familiarity with conventional machine learning models and processes, including classification, clustering, and retrieval.
  • Demonstrated experience integrating AI/LLM models (e.g., LLaMA via Ollama, OpenAI, Claude, or Amazon Bedrock) into enterprise platforms and services.
  • Ability to process data and engineer features for downstream model integrations.
  • Experience with prompt engineering, inference pipelines, and APIs for deploying AI agents at scale.
  • Experience with fine-tuning and/or supervising model adaptation to domain-specific data and use cases.
  • Experience with agentic frameworks such as Langgraph, Diffy, or related technologies.
  • Knowledge on tracking data and model lineages including the ability to ensure security and compliance of the deployed models to comply with appropriate governance, to manage role-based access to services, and to apply data masking where necessary.
  • Ensuring security and compliance of the deployed models to comply with appropriate governance, managing role-based access to services, and applying data masking where necessary.
  • Experience building or consuming data virtualization layers to abstract complex enterprise data systems for AI consumption.
  • Strong understanding of modern data architectures (data lakes, lakehouses, vector stores) and API-first approaches to data access and transformation.
  • Familiarity with vector databases (e.g., Marqo, Milvus, Pinecone) and embedding models for semantic search and retrieval-augmented generation (RAG).
  • Proficiency in building and maintaining RESTful APIs that interface with internal systems, enabling AI-enhanced features in existing applications.
  • Experience with cloud services (Azure, AWS), containerized deployments (e.g., Docker), and CI/CD workflows.
  • Comfort working with both in-house developed tools and open-source AI/ML infrastructure.
  • Openness to hybrid .NET and Python ecosystems to support the evolving needs of our AI integration efforts.
  • Passion for supporting digital transformation through AI education and enablement across diverse stakeholder groups, including non-technical faculty and staff.
  • Demonstrated ability to explain complex technical concepts to a wide range of audiences, and a commitment to building reusable resources, guides, and documentation.
  • Strong curiosity, experimental mindset, and a desire to shape the future of AI in higher education.
  • Interest in bridging research, teaching, and operations with intelligent systems and modern data practices.
  • Ability to work iteratively in a fast-moving environment where priorities evolve as innovation unfolds.
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Additional Information
This position is on a 3-year limited term appointment.
Work Location
This position is eligible for remote work or to work a hybrid schedule (mix between remote and in-person work), subject to change in the future based on university policy and business needs.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Advanced
FLSA: Exempt
Job Function: Information Technology
Job Family: Data Analysis & Engineering
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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