Product Manager - Operational Technology

• 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.

Aspen Technology