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Senior Data Manager Jobs in Indiana (NOW HIRING)

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

The role requires collaboration with other analysts, data engineers, data product managers, and ... The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as ...

Elanco

Senior Data Scientist

Indianapolis, IN

Senior Data Scientist We are seeking a highly motivated and experienced Senior Data Scientist to ... Proven ability to deploy and manage high-performance models in production environments using ...

PeopleSuite

Sr. Data Platform Engineer

Indianapolis, IN · On-site

$64.25 - $86/hr

Senior Data Platform Engineer Our client is seeking a Senior Data Platform Engineer to serve as the ... Experience optimizing cloud infrastructure and managing data platform costs at scale. * Prior ...

CSpring

Senior Data Consultant

Indianapolis, IN · On-site

We have an immediate opening for a Senior Data Consultant. If the idea of working on challenging ... Experience strongly engaging with Project Management. * Ability to engage in a conversation across ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Our team has an immediate opening for a full-time, Sr. Data Engineer. If the idea of working on ... At least 2 years of development experience in a project management or agile operation * Prior ...

Interra Credit Union

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

... management. Translate complex analysis into concise, actionable recommendations for senior leaders ... Identify data quality issues, troubleshoot discrepancies, and drive crossfunctional resolution.

Interra Credit Union

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

... management. Translate complex analysis into concise, actionable recommendations for senior leaders ... Identify data quality issues, troubleshoot discrepancies, and drive cross-functional resolution.

Group 1001

Senior Data Engineer

Zionsville, IN · On-site

$102K - $139K/yr

The Senior Data Engineer will lead data pipeline development and drive excellence in data warehouse ... managing competing priorities and high-pressure situations Preferred : • Deep experience in the ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

... manager or as lead SME), addressing queries and serving as subject matter expert on CMS reporting ... data analysis, modeling, and automation using Excel (Power Query, Power Pivot, VBA macros, complex ...

SHI GmbH

Sr. Data Engineer

Indianapolis, IN · On-site

$150K - $190K/yr

The Senior Data Engineer will be responsible for the analysis, design, and development of solutions ... Excellent time-management skills * Strong problem prevention, and problem-solving skills * Ability ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

... manager or as lead SME), addressing queries and serving as subject matter expert on CMS reporting ... data analysis, modeling, and automation using Excel (Power Query, Power Pivot, VBA macros, complex ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... manager or as lead SME), addressing queries and serving as subject matter expert on CMS reporting ... data analysis, modeling, and automation using Excel (Power Query, Power Pivot, VBA macros, complex ...

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All JobsSenior Data Manager JobsSenior Data Manager Jobs in Indiana

Senior Data Manager information

See Indiana salary details

$75.2K

$117.1K

$175.6K

How much do senior data manager jobs pay per year?

As of Jul 5, 2026, the average yearly pay for senior data manager in Indiana is $117,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $130,800.00 per year, depending on experience, location, and employer.

What jobs pay 500,000 a year in the US?

Senior Data Managers typically do not earn $500,000 annually; such high salaries are more common in executive roles like Chief Data Officers, CEOs, or specialized investment positions. These roles often require extensive experience, advanced skills, and leadership responsibilities, and compensation may include bonuses and stock options. High-paying jobs at this level are usually found in finance, technology, or executive management sectors.

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.

What does a senior data manager do?

A senior data manager oversees an organization’s data collection, storage, and analysis processes to ensure data quality and security. They develop data strategies, manage data teams, and use tools like SQL and data visualization software to support decision-making and compliance with data governance standards.

What is the highest paid senior data analyst?

The highest paid senior data analysts typically earn salaries exceeding $100,000 annually, with top earners in certain industries or regions reaching over $130,000. Compensation depends on experience, industry, location, and skills in tools like SQL, Python, or Tableau.

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 is the salary of a data manager?

The salary of a senior data manager typically ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals with expertise in data governance, analytics tools, and certifications like CDMP may command higher salaries.
What are the most commonly searched types of Senior Data jobs in Indiana? The most popular types of Senior Data jobs in Indiana are:
What are popular job titles related to Senior Data Manager jobs in Indiana? For Senior Data Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Senior Data Manager jobs in Indiana look for? The top searched job categories for Senior Data Manager jobs in Indiana are:
Senior Data Manager jobs near you
Infographic showing various Senior Data Manager job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,095 per year, or $56.3 per hour.
Senior Data Analyst: Epigenetics (Indianapolis)

Senior Data Analyst: Epigenetics (Indianapolis)

Purdue University

Indianapolis, IN • On-site

$82K - $103K/yr

Full-time

Posted 10 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

268th of 544 rated colleges and universities

Job description

Senior Data Analyst: Epigenetics (Indianapolis)
City: Indianapolis
Job Description:
Job Summary
Are you looking to be part of something big? Radical innovations begin with small, impactful steps. Take your next step with the Dunn Lab, the distinguished team of Dr. Erin C. Dunn, as we prepare for our next giant leap: discovering the causes of mental illness and creating roadmaps for prevention. Learn more about the Dunn Lab and Purdue University in Indianapolis.
The Senior Data Analyst will be responsible for projects focusing on computational genetic and epigenetic analyses working on a multi-disciplinary team under the direct supervision of principal investigator Dr. Dunn. The Senior Data Analyst will work with multiple types of data, especially longitudinal survey and biological data from large birth cohort studies. A successful candidate will have experience in working with post-doctoral fellows in a mentoring capacity to drive computational analyses.
The successful candidate will be able to contribute to innovative projects to identify risk and protective factors linked to depression. Our overarching goal is to identify possible sensitive periods in development, or life stages when the brain is highly plastic and experience, including stress exposure, can impart more enduring effects on risk for depression.
Responsibilities Include:
  • Responsible for data management and statistical analysis for new and ongoing studies, including but not limited to developing and applying regression-based analyses of epidemiologic and epigenetic data.
  • Guide other lab members in designing data analytic plans and computational pipelines.
  • Maintains standard operating procedures for data management on a high-powered computing cluster.
  • Collaborate on the preparation of grant applications, manuscripts, and presentations.
  • Present analyses and results to collaborators and in academic papers using tables and figures.
  • Leads R code reviews and data validation efforts
  • Mentors and troubleshoots other lab members in coding (in R programming language)

This position is located in Indianapolis at the Purdue University in Indianapolis location. Hybrid options may be available.
What We're Looking For:
Education and Experience:
  • Bachelor's Degree.
  • Four years of data analysis experience.
  • Strong knowledge of R (e.g., tidyverse, mice, ggplot) and omics data analysis pipelines.
  • Prior experience in academic research including cluster computing, longitudinal studies, biological/epidemiological modeling,

Preferred:
  • MA/MS.

Skills Needed:
  • Understanding of data management
  • Ability to clean data, including derived variable and metadata creation and management.
  • Experience working with longitudinal omics-related data.
  • Ability to create detailed data analysis plans and pipelines.
  • Proven ability to learn new computational and statistical techniques.
  • Excellent written and verbal communications skills.
  • Ability to handle multiple projects simultaneously.
  • Ability to work independently and as part of a team.
  • Ability to interpret acceptability of data.
  • High degree of computer literacy.
  • Careful attention to detail.
  • Good organizational skills.
  • Ability to identify problems and develop solutions.
  • Ability to create presentation-ready tables and figures.
  • Advanced knowledge of statistical and epidemiological study design.
  • Understanding of Redcap or other clinical database management systems

Additional Information:
  • For full consideration, please include a cover letter and resume with your application materials.
  • Purdue University will not sponsor employment authorization for this position
  • A background check will be required for employment in this position
  • FLSA: Exempt (Not Eligible for Overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period

Purdue University is an EO/EA University.
Career Stream
Professional 3
Pay Band S070
Job Code #20002211

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