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Senior Manager Data Management Jobs in Indiana (NOW HIRING)

Circle K

Senior Manager Data Architecture

Columbus, IN · On-site

$62.50 - $83.75/hr

Sr. Manager, Data Architecture About Circle K Circle K is a global leader in convenience and fuel,operatingin 24 countries and part of the Alimentation Couche-Tard family. We are driving a massive ...

LeoForce

Senior Manager Data Analytics

Watson, IN · On-site

$170 - $200/hr

Experience Senior Level Salary $170,000 - $200,000 per year Job Details We are seeking a hands‑on Data & BI Manager to lead a five‑person team across Data Engineering and Power BI while playing a ...

New

Deloitte

Senior Manager Data Lead

Indianapolis, IN · On-site

... management * 6+ years of hands-on experience modernizing enterprise data platforms and delivering solutions from ideation through production, to include: * Cloud and on-premises data landscape (ie:

Pwc

Procurement Senior Manager - Data

Indianapolis, IN · On-site

$91K - $321K/yr

Industry/Sector Not Applicable Specialism IFS - Finance Management Level Senior Manager & Summary The Opportunity As a Procurement Senior Manager - Data, you will focus on executing, managing, and ...

Johnson & Johnson

Sr. Manager, Data, Finance Tech

Warsaw, IN · On-site

$105K - $143K/yr

The Senior Manager will lead the governance, management, stewardship, and quality of Finance Master ... Lead the governance, management, stewardship, and ongoing operations of finance master data ...

Jj

Sr. Manager, Data, Finance Tech

Warsaw, IN · On-site

$105K - $143K/yr

The Senior Manager will lead the governance, management, stewardship, and quality of Finance Master ... Lead the governance, management, stewardship, and ongoing operations of finance master data ...

Newfields

Manager of Data Analytics

Indianapolis, IN · On-site

$60K - $70K/yr

Support evaluation and integration of visitor and guest data sources, the guest ticketing/CRM stack. * Establish documented data definitions and stewardship practices for top institutional metrics ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

CSpring

Project Manager - Data

Carmel, IN · On-site

$49 - $66.50/hr

Requirements: * 7+ years of project management experience, with at least 4 years leading data or software delivery projects. * Demonstrated experience managing projects involving data platforms ...

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All JobsData Management JobsSenior Manager Data Management JobsSenior Manager Data Management Jobs in Indiana

Senior Manager Data Management information

See Indiana salary details

$47.1K

$121K

$199.4K

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

As of Sep 4, 2026, the average yearly pay for senior manager data management in Indiana is $120,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $141,800.00 per year, depending on experience, location, and employer.

What is a senior manager data management?

A Senior Manager Data Management is a leadership role responsible for overseeing the processes, policies, and technologies used to manage and govern an organization’s data assets. They lead teams that ensure data quality, security, and accessibility, often collaborating with IT, business, and compliance departments. Their primary goal is to facilitate accurate, reliable, and strategic use of data to support business objectives and decision-making. This role typically requires extensive experience in data management, strong leadership skills, and a deep understanding of data governance practices.

How does a senior manager data management typically collaborate with cross-functional teams to drive data initiatives?

A Senior Manager of Data Management frequently works with stakeholders across IT, analytics, compliance, and business units to ensure data strategies align with organizational goals. This collaboration involves leading data governance efforts, facilitating data integration projects, and ensuring data quality standards are met. The role requires excellent communication skills and the ability to translate technical requirements into actionable steps for diverse teams. Regular meetings, strategic workshops, and cross-departmental project oversight are common elements of this collaborative work environment.

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

To thrive as a Senior Manager Data Management, you need expertise in data governance, data quality management, and a strong background in data analytics or information systems, often supported by a relevant degree and management experience. Familiarity with data management platforms (such as Informatica or Collibra), SQL, and industry-standard certifications (like CDMP or DAMA) is typically required. Excellent leadership, strategic thinking, and effective communication skills help in leading cross-functional teams and aligning data initiatives with business goals. These skills and qualities are crucial for ensuring data integrity, regulatory compliance, and maximizing the value of organizational data assets.

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

AspectSenior Manager Data ManagementData Analyst
Required CredentialsBachelor's or Master’s in Data Science, IT, or related field; often with certifications in data management or project managementBachelor's degree in Statistics, Data Science, or related field; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentLeadership role overseeing data teams, strategic planning, and data governance in corporate settingsAnalyzing data sets, creating reports, and supporting decision-making in various departments
Employer & Industry UsageUsed in large organizations, finance, healthcare, and tech companies for managing enterprise dataCommon across industries for data interpretation and reporting tasks

The Senior Manager Data Management focuses on leading data teams and establishing data strategies, while Data Analysts primarily analyze data and generate reports. Both roles require strong technical skills, but differ in scope and responsibilities.

What does a senior manager data management do?

A senior manager in data management oversees the organization, quality, and security of data across an organization. They develop data strategies, ensure compliance with data governance policies, and lead teams responsible for data collection, storage, and analysis, often using tools like data management software and analytics platforms.

What cities in Indiana are hiring for Senior Manager Data Management jobs?

Cities in Indiana with the most Senior Manager Data Management job openings:

Sr. Manager, Data Engineering

The Reinalt-Thomas Corporation

South Bend, IN • On-site

$150 - $190/hr

Other

Posted 2 days ago

New

Job description

Overview

Sr. Manager, Data Engineering

Location: Tire Rack - South Bend, IN
Department: Information Technology
Employment Type: Full-Time, Exempt
Schedule: Monday-Friday, typically 8:00 a.m.-5:00 p.m.

About the Role

Join Tire Rack's IT team and help shape the future of data across the organization. As the Sr. Manager, Data Engineering, you'll lead the strategy and evolution of our enterprise data engineering capabilities, guide a talented team of engineers and technical leaders, and drive the modernization of our data platform using Databricks and AWS.

This is an opportunity to influence how data is built, governed, and delivered at scale-and turn major technology investments into meaningful business impact.

This role is ideal for an experienced data engineering leader who enjoys tackling complex technical challenges, developing high-performing teams, and turning ambitious ideas into enterprise solutions. You'll set direction, champion modern engineering practices, partner with leaders across the business, and play a key role in building the next generation of Tire Rack's data ecosystem.

What You'll Do
  • Set the vision and strategy for Data Engineering, creating a roadmap that connects platform capabilities with Tire Rack's long-term business priorities.
  • Lead, coach, and develop a high-performing Data Engineering team, including team leads and senior engineers.
  • Drive the enterprise-wide transition to a modern Databricks lakehouse architecture, leading one of the organization's most important data modernization initiatives.
  • Own the long-term data platform roadmap and guide the architecture, design, and evolution of Databricks and AWS capabilities.
  • Champion modern engineering practices, emerging technologies, and innovative approaches that improve performance and deliver measurable business value.
  • Build a culture of technical excellence, accountability, collaboration, and continuous improvement.
  • Develop future leaders by building bench strength and preparing team leads for increased scope and responsibility.
  • Establish engineering standards, delivery practices, and an operating model that enables teams to deliver effectively at scale.
  • Lead enterprise data integration and governance strategy, ensuring data is secure, reliable, high-quality, compliant, and performance-ready.
  • Partner with Business Data Intelligence and teams across the organization to turn enterprise priorities into scalable, governed data products.
  • Communicate platform strategy, progress, risks, and results to Director-level and executive stakeholders, building alignment around enterprise data priorities.
  • Own platform reliability, performance, and cost management while continuously identifying opportunities to improve the data ecosystem.
  • Lead budget planning, headcount forecasting, and resource strategy for the Data Engineering function.
  • Monitor key initiatives, workloads, budgets, quality, and KPIs to ensure the department continues moving toward its goals.
  • Collaborate across departments to solve complex challenges, remove roadblocks, and improve how teams work together.
  • Stay ahead of emerging data technologies and industry trends, identifying new ideas and solutions that can create value for Tire Rack.
  • Perform additional duties as assigned to support department and company objectives.
What We're Looking For

We're looking for a strategic, forward-thinking data engineering leader who can see the big picture while understanding the technology required to make it happen.

You bring deep cloud data platform expertise, strong business judgment, and a track record of leading teams through meaningful transformation. Just as importantly, you know how to bring people together, communicate a clear vision, and turn complex technical initiatives into results the business can see and measure.

Required Qualifications
  • Minimum of 3 years of experience as a Supervisor, Assistant Manager, or comparable people leadership role.
  • Minimum of 8 years of professional experience with progressive responsibility in data engineering, data platforms, or a related technical field.
  • Proven success leading a significant cloud data platform modernization or migration with demonstrated business impact.
  • Deep expertise in Databricks and AWS data architecture, including platform security, governance, integration, and enterprise-scale workload optimization.
  • Demonstrated ability to establish departmental strategy and lead budget, headcount, and resource planning.
  • Ability to influence, collaborate with, and build consensus among Director-level and executive stakeholders.
  • Strong leadership skills with experience developing teams, coaching technical talent, and building relationships across internal and vendor partners.
  • Expert communication skills with the ability to make complex technical concepts clear, relevant, and actionable for both technical and non-technical audiences.
  • Excellent analytical, planning, negotiation, organizational, and interpersonal skills.
  • Strong business acumen with an understanding of organizational priorities, goals, and strategy.
  • Demonstrated ability to lead organizational transformation and succeed in a fast-paced, goal-oriented environment.
  • Proficiency with Microsoft Word, Excel, and PowerPoint.
  • Degree in Computer Science, Information Technology, Data Engineering, or a related field, or equivalent combination of education and professional experience.
Preferred Qualifications
  • Hands-on or leadership experience with Databricks lakehouse architecture.
  • Professional certifications related to Databricks, AWS, data engineering, cloud platforms, or related technologies.
Work Schedule

Work Days: Monday through Friday. Occasional Saturday and Sunday work may be necessary based on business needs.

Work Hours: Typical hours are 8:00 a.m.-5:00 p.m. Additional hours may be necessary to support projects, platform initiatives, and business needs.

Why Tire Rack

At Tire Rack, data plays an increasingly important role in how we understand our customers, operate our business, and make decisions. As Sr. Manager, Data Engineering, you'll have the opportunity to lead a major evolution of our data capabilities while building the people, platforms, and practices that will support the organization for years to come.

If you're ready to lead meaningful transformation, develop great technical talent, and build an enterprise data platform that delivers real business value, we'd love to hear from you.

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