Sr. Director, Product Management

OpenText; Southwestern Ontario; On-site; CAD 140,000 - 200,000; Full time

Job summary

OpenText seeks a Senior Director, AI Strategist and Product Management to lead Generative AI and Agentic AI product portfolios within the Content Management Business Unit. You will shape the AI roadmap, drive innovation at scale, and own both the 'why' and the 'what' of our AI initiatives.

You will lead a global AI product organization, drive measurable outcomes, and collaborate with Development, Data Science, and Data Cloud teams to deliver scalable, secure AI-driven solutions for enterprise

Qualifications

• 7+ years of proven experience in data science, AI, and ML
• Hands-on exposure to Agentic AI systems
• Deep expertise in agentic AI frameworks (e.g., MCP, A2A protocols, LangChain, LangGraph)
• Experience leading enterprise product management organizations

Responsibilities

• Define and execute the AI strategy for Content Management products.
• Lead and mentor a global AI product organization, driving accountability and client empathy.
• Architect and deliver production-grade agentic systems using LangChain, LangGraph, and related frameworks.
• Partner with Development, Data Science, and Data Cloud teams to build scalable AI-driven products.
• Represent OpenText's AI strategy at industry events, client forums, and advisory boards.

Job description

The Opportunity

OpenText manages information for the largest organizations worldwide — and we're now rebuilding that foundation around AI. As enterprises embrace a new era of intelligent automation and generative AI, we are building the next generation of content, data, and AI-driven solutions that empower organizations to unlock knowledge, drive efficiency, ship AI that enterprises actually trust.

Your Impact:

We are seeking a Senior Director, AI Strategist and Product Management to lead our initiatives for Generative AI and Agentic AI product portfolios within the Content Management Business Unit. This senior leadership role will shape OpenText’s AI product roadmap and execution, driving innovation at scale across our enterprise SaaS solutions.

The ideal candidate is a product leader and hands-on AI strategist — someone who combines deep technical expertise in AI and data science with proven experience leading global product and development teams to deliver transformative business outcomes. You will own both the 'why' and the 'what' — not just the roadmap document.

What the role offers:

• Define and execute the AI strategy for all our Content Management products.
• Lead and mentor a global AI product organization, fostering innovation, accountability, and deep client empathy.
• Architect and deliver production-grade agentic systems using LangChain, LangGraph, A2A (Agent-to-Agent) protocols, and other transformative AI frameworks to create adaptive, multi-agent enterprise solutions.
• Partner with Development, Data Science, and Data Cloud teams to develop scalable, secure, and high-performing AI-driven products.
• Shape OpenText's point of view on AI — representing the company at industry events, client forums, and analyst briefings — including Gartner, Forrester, and major client advisory boards — as a thought leader in enterprise AI.
• Report into and co-own strategy with the Content BU leadership and C-level executives to align AI strategy with business goals and ensure measurable outcomes.
• Ensure product roadmaps align with modern data architectures and leverage knowledge graphs and unstructured data management to enhance AI model grounding and reduce hallucinations.

What you need to Succeed:

• 7+ years of proven experience in data science, AI, and ML — with at least 3 years leading product organizations at enterprise scale — and hands-on exposure to building and optimizing Agentic AI systems.
• Deep expertise in Agentic AI frameworks, including MCP, A2A protocols, Google ADK, LangChain, and LangGraph (critical).
• Demonstrated success leading Product Management organizations in enterprise software or cloud platforms.
• Strong background in AI/ML, data management, and modern data architectures (Lakehouse, Data Fabric, knowledge graphs).
• Experience with unstructured data management, grounding AI models, and context engineering to reduce hallucinations in generative AI systems.
• Proven track record delivering enterprise-scale SaaS solutions through collaboration with global, cross-functional teams.
• Exceptional communication, storytelling, and executive presence — with the ability to influence strategy and engage C-level stakeholders.
• Track record of shipping: you can point to specific AI products you've taken from concept to production, with measurable outcomes.