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Ai Data Analytics Jobs in Indiana (NOW HIRING)

Managing AI and analytics readiness efforts, including data quality reviews, governance assessments, and delivery of AI-ready and analytics-ready data products across business domains * Overseeing ...

This person will lead a long-term strategic initiative in the workforce space spanning AI, data analytics, and development in the workforce space. Must-Haves: • Government/State project experience ...

Senior Technical Project Manager

Indianapolis, IN · On-site

$104K - $142K/yr

This person will lead a long-term strategic initiative in the workforce space spanning AI, data analytics, and development in the workforce space. Must-Haves: • Government/State project experience ...

Oracle FDI - Sr Consultant

Indianapolis, IN

$60.75 - $76.50/hr

As part of our AI & Data team, you will work with business and technology leaders to deliver cloud-based data and analytics solutions that support large-scale transformation. This role offers the ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion ...

... AI tools * Monitor and optimize key metrics for reliability, financial performance, emerging ... Data Analytics, Statistics, Computer Science, Computer Engineering, Business, or related field ...

AI Engineer Senior Consultant

Indianapolis, IN · Hybrid

$99K - $137K/yr

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion ...

Lead Data & AI Engineer

Fort Wayne, IN · On-site

$105K - $126K/yr

Perform exploratory data analysis to identify patterns, trends, and insights that drive continuous improvement across operations. * Design, develop, and deploy AI-powered solutions such as ...

Lead Data & AI Engineer

Fort Wayne, IN

$105K - $126K/yr

Perform exploratory data analysis to identify patterns, trends, and insights that drive continuous improvement across operations. * Design, develop, and deploy AI-powered solutions such as ...

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Ai Data Analytics information

See Indiana salary details

$23

$52

$89

How much do ai data analytics jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for ai data analytics in Indiana is $52.10, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $59.04 per hour, depending on experience, location, and employer.

How much does an AI data analyst make?

The average salary for an AI data analyst ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data modeling, machine learning, and tools like Python or R tend to earn higher salaries.

Which 3 jobs will survive AI?

AI Data Analysts, data scientists, and machine learning engineers are likely to continue thriving as their roles involve complex analysis, model development, and interpretation that require human expertise. These jobs demand skills in statistics, programming, and critical thinking, making them less susceptible to automation. Continuous learning and proficiency with AI tools are essential for long-term job security in these fields.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI Data Analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior data scientists, or machine learning directors, often requiring advanced skills, extensive experience, and sometimes equity or performance-based bonuses. These positions are usually found in large tech companies or organizations investing heavily in AI development and may involve leadership, strategic planning, and specialized technical expertise.

What are the key skills and qualifications needed to thrive as an AI Data Analyst, and why are they important?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI Data Analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working with AI models to improve data-driven solutions. Strong analytical skills and knowledge of data visualization are essential in this role.
What are popular job titles related to Ai Data Analytics jobs in Indiana? For Ai Data Analytics jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Ai Data Analytics jobs? Cities in Indiana with the most Ai Data Analytics job openings:
AI/ML Presales Solutions Architect

AI/ML Presales Solutions Architect

Onebridge

Indianapolis, IN • On-site

Full-time

Posted 18 days ago


Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled AI/ML Presales Solutions Architect to join our innovative and dynamic team.
AI/ML Presales Solutions Architect | About You
As an AI/ML Presales Solutions Architect, you are the technical authority supporting client conversations early in the sales cycle. You are responsible for understanding client problems, determining the right AI/ML approach, and shaping feasible, valuable solutions that align with both client needs and delivery capabilities. You thrive in exploratory, client-facing environments where discovery, judgement, and solution framing matter more than hands-on model building. You partner closely with sales to accelerate opportunities while ensuring we never over-commit beyond what can realistically be delivered. You bring broad knowledge across AI, data platforms, and cloud ecosystems and are comfortable explaining what is possible, what is not, and the tradeoffs between different approaches.
AI/ML Presales Solutions Architect | Day-to-Day
  • Act as the primary technical presales partner, supporting multiple client engagements across discovery, solution design, and capability discussions.
  • Lead early client conversations to understand business problems and determine the fastest, most effective path to an AI/ML solution using preferred client technologies.
  • Translate open-ended client challenges, such as model drift, OCR alternatives, AI automation needs, into clear solution approaches, architecture options, and recommendations.
  • Define solution architecture, tradeoffs, timelines, and required resources, pulling in delivery teams or subject-matter experts only when needed.
  • Guide the AI Lab and technical teams by synthesizing client discovery into clear direction for demos, proofs of concept, and presentations.
  • Create client-facing materials, including slide decks, architecture diagrams, solution flows, implementation approach, and discovery plans.
  • Partner with sales leadership on estimations, pricing inputs, and scope definition, ensuring alignment between proposed solutions and delivery feasibility.
  • Stay current on emerging AI tools, platforms, and market trends, continuously evaluating how new capabilities integrate into existing ecosystems.

AI/ML Presales Solutions Architect | Skills & Experience
  • 10+ years of experience spanning AI/ML, data platforms, cloud architecture, or advanced analytics, with strong client-facing exposure.
  • Proven experience in sales engineering, presales solutioning, or technical consulting roles supporting enterprise clients.
  • Broad knowledge of AI/ML use cases and architectures, with the ability to evaluate solutions across platforms such as Databricks, Snowflake, Azure, Salesforce, and related ecosystems.
  • Strong ability to conduct solution discovery, assess feasibility, identify risks, and articulate architectural tradeoffs.
  • Experience creating client-facing presentations, architecture diagrams, and solution narratives that support sales cycles.
  • Comfortable working at the intersection of sales, delivery, and technical leadership, knowing when to escalate or pull in additional expertise.
  • Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical stakeholders.