Sr Director Product Management

Aspen Technology•Bedford, MA

50d

About The Position

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. We are seeking a visionary and results-driven leader to define and drive the product strategy for our Enterprise Operations Platform (EOP). This role demands a strategic thinker with deep product management experience, technical fluency in industrial automation, and a passion for transforming operational data into actionable intelligence. The ideal candidate will champion the use of AI, semantic modeling, and data contextualization to unlock the full value of OT data across diverse automation systems. The Senior Director will lead efforts to build and scale intelligent data infrastructure-leveraging ontologies, knowledge graphs, and machine learning-to deliver contextualized insights, accelerate decision-making, and enable autonomous operations. This role will align cross-functional stakeholders, including customers, Product Marketing, Sales, Services, and R&D, to ensure timely delivery of high-quality, differentiated software solutions.

Requirements

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.
10+ years of progressive product-centric technology leadership.
Bachelor's degree in engineering, preferred, MBA a plus.
Proven track record in product management leadership.
Strong technology background with the ability to engage in technical conversations with customers and development teams.
Experience in Enterprise OT-data management domains.
Demonstrated ability to manage multiple priorities and foster cross-functional collaboration.
High integrity, entrepreneurial mindset, and a growth-oriented approach.
Strategic thinker with critical thinking and decision-making capabilities.
Experience in managing and scaling teams.

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.