Lead Consultant

Overview

OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.

Core Responsibilities

• Embedding: Discovery & Problem Framing
• Leverage OpenText’s extensive customer knowledge repositories to understand operations and business workflows
• Accelerate use case validation using existing data and deep domain understanding
• Apply data science expertise to extract insights and demonstrate business mastery
• Prototyping & Impact Evaluation
• Design, build, and ship production-grade AI agents leveraging OpenText’s proprietary data and tools
• Iteration at Speed: Progress from problem statement to functional PoC in weeks, followed by rapid production deployment
• Collaborate closely with Product and Engineering to inform enhancements
• Championing Success
• Bring customer success stories back into OpenText to influence product, sales, and GTM strategy
• Help define best practices and scale successful AI use cases

What The Role Offers

• Work directly with strategic global customers to design and deliver agentic AI solutions at scale
• Build and deploy production-grade AI agents using proprietary enterprise data
• Move fast—take ideas from discovery to live deployment in weeks
• Act as the critical bridge between business stakeholders and technical teams
• Influence product development through real-world customer insights
• Partner with Sales and GTM teams to shape positioning and customer value narratives
• Deliver measurable business outcomes and create repeatable success stories

What We Value

• The “Cool Geek” Aura
• Domain Agnostic
• Ownership
• Respect the Foundation, Build the Future

What You Need To Succeed

• Proficiency in Python, SQL, and at least one additional language (Java, Go, or TypeScript)
• Experience with large-scale data technologies (e.g., Spark, Kafka) and data architecture fundamentals
• Hands-on experience with LLMs, multi-agent systems, prompt engineering, and vector databases (LangChain/LangGraph required)
• Proven track record of deploying production systems for enterprise organizations with measurable impact
• Strong data science capabilities to extract insights and understand customer data deeply
• Excellent communication skills—able to engage executives and engineers alike
• Quickly adapt across domains and problem spaces
• Willingness to travel (~25%) to work directly with customers

Compensation

Salary Range: $116,200 - $174,200; Depending on the candidate’s education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.