1

Data Project Management Jobs in Indiana (NOW HIRING)

Data Project Manager

Indianapolis, IN ยท On-site

$49.50 - $67/hr

Key Responsibilities Program & Stakeholder Management * Act as the program owner and SPOC for the ... Partner with Data Engineering Leads and team members to ensure sprint and milestone commitments are ...

Senior Technical Project Manager

Indianapolis, IN ยท On-site

$104K - $142K/yr

Must-Haves: โ€ข Government/State project experience (required) โ€ข Strong tech and data project management background โ€ข Highly professional executive presence โ€ข Ability to build and drive a ...

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 ...

Project Lead Data Manager

Indianapolis, IN ยท Hybrid

$49.50 - $67/hr

Project Lead Data Manager As a Project Lead Data Manager, you will serve as a technical authority ... Author andmaintaincomprehensive Study Data Management Plans (DMPs) and Data Validation ...

Project Manager-Data Center

Fort Wayne, IN ยท On-site

$119K/yr

... projects annually across data center markets in the US and APAC. DL has proven success in the ... This position will require the individual to have development, management, customer engagement ...

New

next page

Showing results 1-20

Data Project Management information

What is data project management?

Data Project Management involves overseeing projects that focus on collecting, analyzing, and utilizing data to achieve specific business goals. This role requires managing timelines, resources, and teams to ensure data initiatives are delivered successfully. Data project managers coordinate between data engineers, analysts, stakeholders, and other departments to define project requirements and deliverables. They also ensure that data quality, privacy, and security standards are met throughout the project lifecycle.

How does a data project manager typically collaborate with data engineers and analysts during a project lifecycle?

As a Data Project Manager, you will frequently act as a bridge between data engineers, analysts, and other stakeholders. Your role involves coordinating tasks, clarifying project requirements, and ensuring smooth communication among team members. You'll facilitate regular meetings to track progress, resolve any data-related challenges, and adjust timelines as needed. By fostering collaboration, you help ensure that technical teams deliver actionable insights on schedule and that business goals are met efficiently.

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

To thrive as a Data Project Manager, you need a solid background in project management, data analysis, and familiarity with methodologies like Agile or Scrum, often supported by a degree in a related field and certifications such as PMP or Certified ScrumMaster. Proficiency with project management tools (e.g., Jira, Trello), data visualization platforms (e.g., Tableau, Power BI), and database systems is typically required. Strong communication, leadership, and problem-solving skills help foster collaboration among technical and non-technical stakeholders. These skills ensure data projects are delivered on time, within scope, and aligned with organizational objectives.

What is the difference between Data Project Management vs Data Analyst?

AspectData Project ManagementData Analyst
Primary FocusOverseeing data projects, coordinating teams, ensuring project deliveryAnalyzing data sets to extract insights and generate reports
Required SkillsProject management, communication, data understandingStatistical analysis, data visualization, SQL
CertificationsPMP, Certified ScrumMaster, Data Management certificationsMicrosoft Excel, SQL, Tableau certifications
Work EnvironmentProject teams, cross-functional collaboration, client interactionData analysis tools, reporting platforms, data warehouses

Data Project Management and Data Analysts both work with data, but their roles differ. Data Project Managers focus on leading data initiatives, coordinating teams, and ensuring project success. Data Analysts concentrate on analyzing data to provide insights. Understanding these differences helps in choosing the right career path or hiring the right professional.

What are popular job titles related to Data Project Management jobs in Indiana?

For Data Project Management jobs in Indiana, the most frequently searched job titles are:

Infographic showing various Data Project Management job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Project Manager

KTek Resourcing

Indianapolis, IN โ€ข On-site

$49.50 - $67/hr

Other

Posted 6 days ago


Job description

Position Summary:

Key Responsibilities

Program & Stakeholder Management

  • Act as the program owner and SPOC for the client across the entire engagement.
  • Build and maintain strong relationships with Product Owners, Technical Leads, and senior client stakeholders.
  • Own program governance, delivery reporting, and escalation management.
  • Ensure continuous alignment between client priorities and offshore execution teams.
  • Lead monthly and quarterly steering committee meetings, preparing executive-level metrics, dashboards, and status reports.

Scrum Master Responsibilities

  • Facilitate all agile ceremonies including daily stand-ups, sprint planning, sprint reviews, and retrospectives.
  • Ensure consistent adherence to agile processes across multiple pods and teams.
  • Track sprint velocity, backlog health, and delivery commitments.
  • Proactively identify, track, and remove impediments in collaboration with client stakeholders and offshore leads.
  • Champion a continuous improvement mindset through retrospectives, feedback loops, and process optimization.

Team Orchestration & Coordination

  • Work closely with internal Technical Architects and Team Leads to ensure uninterrupted progress.
  • Partner with Data Engineering Leads and team members to ensure sprint and milestone commitments are met.
  • Align teams on best practices for coding standards, documentation, testing, and release management.

Delivery Oversight & Risk Management

  • Track progress across all workstreams at an overall program level.
  • Identify delivery risks early, develop mitigation strategies, and escalate proactively when required.

Onsite Presence & Client Value

  • Serve as the voice of the offshore team onsite and the voice of the client offshore.
  • Provide real-time context, clarity, and feedback to reduce turnaround time and rework.
  • Accelerate decision-making by facilitating timely issue resolution.
  • Represent delivery excellence and ensure high levels of client satisfaction, trust, and engagement continuity.

Support Data Science Expansion & New Opportunities

  • Stay closely aligned with evolving business requirements and Data & AI initiatives.
  • Identify and surface expansion opportunities, change requests, and adjacent use cases.

Required Skills & Qualifications

  • Proven experience as a Technical Program Manager and/or Scrum Master in complex delivery environments.
  • Strong understanding of Agile/Scrum methodologies and delivery metrics.
  • Experience managing onsiteโ€“offshore delivery models.
  • Background in Data Engineering, Analytics, or AI programs preferred.