1

Data Strategy Jobs in Indiana (NOW HIRING)

Data Practice Lead | About You As a Data Practice Lead, you are a strategic and hands-on expert in modern data platforms, helping organizations unlock the full value of their data across analytics ...

You have a strong understanding of data strategy, governance, and enterprise data management, and you value building scalable, secure, and well-governed platforms from the start. You collaborate ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

Senior Data Engineer

Carmel, IN · On-site

$105K - $143K/yr

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data Strategy. This role will be focused on data acquisition, curation, and transformation of data into a ...

Senior Data Engineer

Carmel, IN

$105K - $143K/yr

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data Strategy. This role will be focused on data acquisition, curation, and transformation of data into a ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver ...

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

The Data Engineer supports the execution of Allied's Data Strategy by focusing on data acquisition, curation, and transformation. This role involves working with cross-functional teams to implement ...

Data Engineer

Carmel, IN

$114K - $137K/yr

The Data Engineer supports the execution of Allied's Data Strategy by focusing on data acquisition, curation, and transformation. This role involves working with cross-functional teams to implement ...

Showing results 21-40

Data Strategy information

See Indiana salary details

$23K

$106.7K

$198.3K

How much do data strategy jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data strategy in Indiana is $106,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,807.00 and $135,928.00 per year, depending on experience, location, and employer.

What is a data strategy?

A Data Strategy job focuses on defining and implementing an organization's approach to data management, governance, and utilization. Professionals in this role ensure that data is aligned with business goals, enabling better decision-making and competitive advantage. They work on data policies, frameworks, and analytics strategies while collaborating with stakeholders across IT, business, and data teams. The role often involves assessing data quality, strategic planning for data infrastructure, and identifying opportunities for data-driven innovation.

What are the key skills and qualifications needed to thrive in data strategy?

To thrive in Data Strategy, you need strong analytical skills, business acumen, experience with data governance, and typically a degree in data science, analytics, or a related field. Familiarity with tools such as SQL, BI platforms (like Tableau or Power BI), and data management systems, along with certifications such as CDMP or DAMA, are often required. Excellent communication, stakeholder management, and problem-solving skills set top professionals apart in this domain. These abilities are vital for bridging technical and business teams to drive actionable strategies and maximize data-driven value for organizations.

What are some typical projects or initiatives a data strategy professional works on?

Data Strategy professionals often lead projects related to developing enterprise data roadmaps, improving data quality standards, implementing data governance frameworks, and aligning analytics initiatives with business objectives. They may be involved in launching new data platforms, advising on data privacy compliance, or collaborating on cross-functional teams to ensure data is effectively leveraged for decision-making. The role usually requires partnering with IT, analytics, and business units to coordinate efforts and ensure alignment with organizational priorities.

What does a data strategist do?

A data strategist develops and implements data management and analytics strategies to help organizations make informed decisions. They analyze data, establish data governance policies, and collaborate with teams to align data initiatives with business goals, often using tools like SQL, data visualization software, and analytics platforms.

What does a data strategy do?

A data strategy defines how an organization manages, uses, and governs its data to support business goals. A data strategist develops plans for data collection, storage, quality, security, and analytics, often utilizing tools like data warehouses and governance frameworks. This role ensures data is reliable, accessible, and aligned with organizational priorities.

What are the most commonly searched types of Data Strategy jobs in Indiana?

The most popular types of Data Strategy jobs in Indiana are:

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

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

What job categories do people searching Data Strategy jobs in Indiana look for?

The top searched job categories for Data Strategy jobs in Indiana are:

What cities in Indiana are hiring for Data Strategy jobs?

Cities in Indiana with the most Data Strategy job openings:

Infographic showing various Data Strategy job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,715 per year, or $51.3 per hour.

Data Practice Lead

Marlabs

Indianapolis, IN • On-site

Full-time

Re-posted 25 days ago


Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Data Practice Lead to join our innovative and dynamic team.
Data Practice Lead | About You
As a Data Practice Lead, you are a strategic and hands-on expert in modern data platforms, helping organizations unlock the full value of their data across analytics, AI, and cloud ecosystems. You thrive in client-facing roles, partnering with executives such as CTOs and CDOs to guide enterprise-scale data transformations and platform decisions. You bring deep experience designing and evaluating solutions across leading cloud data platforms-such as Databricks and Snowflake-and provide clarity for complex challenges including migrations, governance, and AI enablement. You combine technical depth with strong business acumen, supporting pre-sales engagements by assessing client needs, comparing platforms, and building ROI-driven solution strategies. You lead through influence rather than hierarchy, mentor teams, and ensure solutions are delivered as designed and aligned with strategic goals.
Data Practice Lead | Day-to-Day
  • Architect and guide the implementation of scalable data solutions across modern cloud data platforms, including Databricks and Snowflake, leveraging best-practice patterns and reference architectures.
  • Lead pre-sales and business development efforts by assessing current-state environments, identifying client pain points, comparing platform options, and justifying ROI for tailored data solutions.
  • Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprise-scale architecture decisions.
  • Serve as the architectural authority during delivery, ensuring governance, quality, and alignment with original scope while acting as an escalation point for delivery teams.
  • Collaborate with cross-functional teams, engineering, BI, platform, integration, and A, to drive innovation and enable data democratization.
  • Mentor and guide data practitioners, leading technical discussions and delivery execution without direct people-management responsibilities.
  • Stay current on platform evolution and emerging capabilities across the cloud data ecosystem, including advancements in analytics, governance, and AI tooling.

Data Practice Lead | Skills & Experience
  • 10+ years of experience in data engineering, data architecture, solution architecture, or related roles.
  • Strong hands-on experience with modern cloud data platforms, including Databricks and/or Snowflake.
  • Proven ability to support pre-sales activities, including discovery sessions, technical evaluations, demos, and proposal development.
  • Deep understanding of enterprise data architecture, data governance frameworks, and scalable solution design.
  • Experience leading or supporting platform migrations from on-prem or legacy systems to modern cloud data platforms.
  • Ability to pragmatically compare data platforms (e.g., Databricks vs. Snowflake) and communicate tradeoffs, cost considerations, and ROI.
  • Strong client-facing communication skills with the ability to translate complex technical concepts into clear business outcomes.