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This position was posted on March 24, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Tiger Analytics Inc. logo

Senior AI Business Process Engineer

Job Overview

Location

Dallas, Texas, United States

Job Type

Full-time

Category

Other Engineering

Date Posted

March 24, 2026

Full Job Description

đź“‹ Description

  • • As a Senior AI Business Process Engineer at Tiger Analytics, you will play a pivotal role in transforming how Fortune 100 companies leverage AI by redesigning core business processes to be automation- and AI-ready, directly enabling data-driven decision-making at scale.
  • • You will lead end-to-end process discovery, redesign, and implementation initiatives using BPMN 2.0 and DMN modeling, ensuring processes are scalable, compliant, and integrated with enterprise data foundations to unlock the full potential of AI agents and decision automation.
  • • You will collaborate with cross-functional business and technical teams, vendors, and stakeholders to align process redesigns with semantic data models, drive adoption through agile reporting, and establish governance frameworks that ensure long-term process ownership and continuous improvement.
  • • You will use process mining and analytics tools like Camunda Optimize to measure performance, validate business value, and iteratively refine processes based on real-world usage and feedback loops.
  • • You will advocate for practical AI integration by demonstrating how redesigned workflows augment human decision-making, positioning Tiger Analytics as a leader in responsible, value-driven AI adoption for enterprise clients.
  • • You will contribute to building a comprehensive enterprise process landscape by cataloging redesigned processes as strategic assets, informing future AI and automation roadmaps across the organization.

🎯 Requirements

  • • Bachelor’s degree in Business, Information Systems, or a related field.
  • • 5+ years of experience in process engineering, BPM, or process optimization.
  • • Deep expertise in BPMN 2.0 and DMN modeling, with hands-on experience designing and deploying models directly in Camunda 8 (Zeebe) as the source of truth for delivery.
  • • Proven track record of successful automation and agentic AI deliverables, including experience with RPA, IDP, OCR, NLP, or ML integration.
  • • Strong stakeholder facilitation, backlog management, and progress reporting skills in agile, cross-functional environments.
  • • Working knowledge of data modeling principles (star schemas, slowly changing dimensions) and ability to collaborate with data teams to align processes with semantic data models and define measurable KPIs.

🏖️ Benefits

  • • Significant career development opportunities in a fast-growing, entrepreneurial environment with high individual responsibility and impact.
  • • Opportunity to work with Fortune 100 clients and cutting-edge AI technologies in a recognized leader in analytics and AI consulting (Forrester and Gartner recognized).
  • • Exposure to advanced process mining, automation, and AI tools including Camunda Optimize, RPA, IDP, OCR, NLP, and ML integration.
  • • Collaborative, agile culture that values innovation, continuous learning, and cross-functional teamwork.

Skills & Technologies

Python
JavaScript
Java
Senior
Onsite
Degree Required

Ready to Apply?

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Tiger Analytics Inc. logo
Tiger Analytics Inc.
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About Tiger Analytics Inc.

Tiger Analytics is a leading product and services company specializing in artificial intelligence and advanced analytics. They help businesses across various industries, including retail, CPG, financial services, and healthcare, to solve complex problems and drive growth through data-driven insights. Their core offerings include building AI-powered solutions, developing machine learning models, and providing strategic consulting to optimize business operations, enhance customer experiences, and create new revenue streams. Tiger Analytics focuses on delivering measurable business impact by leveraging cutting-edge technologies and deep domain expertise to transform data into actionable intelligence.

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