Product Manager - Operational Technology

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.

• Strategic Vision:
• Develop and execute a product strategy that integrates AI-driven data contextualization and semantic modeling into the EOP roadmap.
• Champion the foundational Data Fabric, enabling scalable ingestion, harmonization, and semantic enrichment of OT data.
• Drive adoption of knowledge graphs and ontologies to unify data across disparate automation systems and domains.
• Evangelize the strategic role of contextualized data in enabling predictive analytics, autonomous workflows, and digital twins.
• Represent the platform’s vision in internal and external forums, positioning the company as a thought leader in intelligent operations.
• Product Management:
• Lead innovation initiatives focused on transforming raw industrial data into contextualized, actionable insights using AI and semantic technologies.
• Monitor market trends in AI, data fabrics, and industrial knowledge graphs to ensure competitive differentiation.
• Guide the development of intelligent data services (e.g., semantic search, anomaly detection, root cause analysis) powered by machine learning.
• Develop product roadmaps that incorporate semantic interoperability, data lineage, and explainability.
• Stakeholder Management:
• Foster collaboration between product management and R&D to deliver intelligent, scalable solutions.
• Engage with customers and partners to co-develop ontologies and contextual models tailored to industry-specific needs.
• Qualifications & Experience:
• Proven leadership in product management with a focus on data platforms, AI, or industrial software.
• Deep understanding of OT-data domains, industrial automation systems, and data contextualization challenges.
• Experience with semantic technologies and knowledge graph architectures.
• Familiarity with AI/ML techniques for time-series analysis, anomaly detection, and predictive modeling.
• Core Competencies:
• Customer Centricity: Designs products that deliver contextualized insights and real-world value.
• Visionary Thinking: Inspires teams around a future of intelligent, autonomous operations.
• Innovation Leadership: Prioritizes semantic modeling and AI as core differentiators.
• Results Orientation: Aligns data intelligence initiatives with business outcomes.
• Strategic Acumen: Navigates complex data ecosystems with clarity and foresight.
• Decisive Execution: Makes informed decisions grounded in data and domain expertise.

• 5+ years of demonstrated skills in product management.
• Experience in the Process Industries will be a strong advantage.
• BS in Chemical/Mechanical Engineering/Electrical Engineering required. MBA/Advanced degree (or global equivalent) in a related field preferred.
• Language requirement: French: A1 (advanced) and English level C1 (advanced), the position requires interactions with international client.
• Experience of cloud-based as well as on-prem technologies.
• Experience with AI also an advantage.
• Strong individual initiative and ownership, driven to achieve results, and motivated by impact. Extremely well organized, detail-oriented, metrics driven, and possessing a high level of integrity.
• Demonstrated business acumen and industry insights to assess the tradeoffs across technology, operations, process, people, cost, and industry for solutions.
• Strong sense of teamwork and collaboration, particularly cross-organizationally and cross-functionally in a matrix organization.
• Business travel of approximately 20 percent yearly is expected for this position.