Sr Director Product Management

About the role

The Role We are seeking a visionary and results-driven leader to define and drive the product strategy for our Enterprise Operations Platform (EOP).

Responsibilities

• 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.
• 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.
• Define and manage product roadmaps that incorporate semantic interoperability, data lineage, and explainability.
• Oversee release planning, ensuring milestones reflect the integration of contextualization and AI capabilities.
• Establish KPIs that measure the impact of data intelligence features on operational efficiency and customer outcomes.
• Build and mentor a high-performing team with expertise in AI, semantic technologies, and industrial data modeling.
• Foster collaboration between product, R&D, and data science teams to deliver intelligent, scalable solutions.
• Engage with customers and partners to co-develop ontologies and contextual models tailored to industry-specific needs.
• Promote a culture of innovation, experimentation, and continuous learning around data intelligence and automation.
• Drive alignment across Product Marketing, Solution Consulting, and Services to ensure consistent messaging and delivery.

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.
• Demonstrated ability to lead cross-functional teams and scale intelligent data products.
• Strategic thinker with a bias for action and a track record of delivering measurable impact.

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.