Opentext - The Information Company
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.
AI-First. Future-Driven. Human-Centered.
At OpenText, AI is at the heart of everything we dopowering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.
YOUR IMPACT
We are seeking a highly skilled
Manager
to lead and orchestrate complex, multi-disciplinary
AI and Generative AI programs
within the enterprise AI engineering organization.This role demands a deep understanding of
AI-driven product development lifecycles
,
multi-agent orchestration
, and
LLM-based system engineering
to effectively plan, govern, and deliver cutting-edge AI capabilities.The ideal candidate combines
program management excellence
,
technical fluency in AI systems
, and the ability to
translate strategic AI goals into structured execution
across engineering, data science, platform, and business enablement teams.
What The Role Offers
Program Leadership & Governance
- Own the end-to-end delivery lifecycle for enterprise AI programs including RAG systems, multi-agent workflows, and MCP/A2A-based architectures and other latest cutting edge technologies.
- Define program goals, KPIs, milestones, and delivery timelines in alignment with AI strategy and enterprise roadmap.
- Drive program governance, risk management, and dependency tracking across multiple parallel AI initiatives.
- Ensure consistent alignment between engineering execution and business value realization.
Cross-Functional Delivery Management
- Collaborate with Principal AI Engineers, Solution Architects, and Product Owners to translate complex AI designs into executable workstreams.
- Manage cross-functional teams involving AI Engineers, ML Ops, Data Engineers, and Platform Teams for synchronized delivery.
- Facilitate sprint planning, backlog refinement, and release management across distributed AI development squads.
- Coordinate model deployment readiness, inference optimization, and guardrail validation phases prior to production rollout.
AI Program Execution Excellence
- Implement AI-centric delivery frameworks integrating experimentation, validation, and continuous improvement cycles.
- Ensure operational excellence in GenAI system reliability, observability, and performance tracking through data-driven dashboards.
- Lead the adoption of modular delivery frameworks to support iterative releases of AI components.
- Work closely with AI Engineering leadership to optimize resource allocation, infrastructure utilization, and cost efficiency.
Stakeholder Communication & Reporting
- Serve as the single point of accountability for all program-level communications and escalations.
- Present delivery status, risk mitigations, and success metrics to executive leadership.
- Establish transparent communication channels across engineering, product management, data governance, and compliance.
- Translate technical achievements into business outcomes, highlighting measurable ROI of AI programs.
AI Delivery Process Innovation
- Champion the adoption of AI-specific program management tools (e.g., LangSmith dashboards, LLMOps pipelines, model evaluation trackers).
- Drive process automation in delivery tracking, documentation, and validation through intelligent agents.
- Define best practices for managing LLM lifecycles, versioning, and evaluation cycles in enterprise environments.
- Collaborate with AI leadership to standardize frameworks, templates, and operational playbooks for repeatable GenAI success.
- Lead the AI transformation delivery layer, driving execution excellence across all enterprise AI programs.
- Collaborate with world-class AI engineers building the next generation of agentic and RAG-based systems.
- Shape how enterprise-scale GenAI initiatives are planned, tracked, and delivered for measurable impact.
- Work at the forefront of AI program management, setting new standards for delivery velocity, governance, and innovation.
What You Need To Succeed
- Education: Bachelor's or Master's in Computer Science, AI/ML, Information Systems, or Project Management. PMP, PMI-ACP, or equivalent certification preferred.
- Experience: 1015 years of experience managing complex technology programs, with 35 years in AI/ML or GenAI environments.
- Proven experience in managing AI or data-intensive programs involving model development, RAG pipelines, and LLM-based architectures.
- Strong understanding of AI engineering principles, multi-agent frameworks (LangGraph, Crew AI, ADK), and LLMOps lifecycles.
- Proficiency in Agile/Scrum and Scaled Agile methodologies tailored to AI system development.
- Experience leading teams working on GenAI, RAG, or LLM-based solutions in enterprise contexts.
- Ability to manage cross-functional dependencies, budget, and timeline for multi-component AI initiatives.
- Working knowledge of CI/CD pipelines, Kubernetes deployments, and AI observability metrics.
- Strong command over risk management, change control, and compliance frameworks in AI system deployments.
- Hands-on familiarity with AI platforms and model governance tools (LangSmith, MLflow, Weights & Biases, Kubeflow).
- Understanding of AI cost and usage analytics, telemetry (OTEL), and AI guardrail integration for compliance.
- Proven success in implementing AI program dashboards tracking success metrics (latency, accuracy, throughput, cost).
- Experience managing hybrid cloud or on-prem AI infrastructure (AWS, Azure, GCP).
- Strong background in AI ethics, data privacy, and responsible AI delivery practices.
- Visionary leader who can bridge technical and business priorities in AI delivery.
- Excellent communicator with the ability to influence, align, and motivate highly technical teams.
- Analytical mindset with a structured problem-solving approach to manage uncertainty in evolving AI landscapes.
- Strong interpersonal and organizational skills to drive high-impact outcomes in fast-paced environments.
- Passionate about transforming enterprise operations through AI and intelligent automation.
OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us at [HIDDEN TEXT]. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.
