Director of Product Management - Data Intelligence

What You'll Do

Strategic Leadership & Vision

• Define and drive product strategy for the Data Intelligence portfolio, focusing on context/governance, data modeling for decision-making, real-time insights, and AI-driven actions
• Lead 0-to-1 product initiatives from conception through market success, leveraging your proven experience launching new data intelligence and analytics products
• Bridge the gap between raw data streams and intelligent action—envision how customers will model, contextualize, and govern their data to unlock business value
• Champion AI enablement: drive product capabilities that make IoT data AI-ready for predictive analytics, automated decision-making, and intelligent actions
• Establish clear, inspiring vision for your teams derived from company strategy, helping prioritize and reprioritize for organizational success
• Think cross-functionally and ahead: understand how data intelligence connects to GTM, our revenue model, and anticipate the evolution of data governance, context management, and AI-driven automation

Business Impact & Accountability

• Drive measurable business outcomes across adoption, usage, revenue, and customer satisfaction metrics for your product portfolio
• Own the data story: work with product data analysts to instrument products effectively, measure impact, and report progress toward business objectives
• Communicate value effectively through data-backed storytelling to executives, customers, and cross-functional stakeholders
• Identify and address organizational bottlenecks, proposing process improvements as business scale demands
• Make hard calls: determine when products or features should be terminated if they don't deliver desired outcomes

Cross-Functional Collaboration

• Partner deeply with R&D leadership (Team Leads, Directors) to ensure technical feasibility and delivery excellence
• Collaborate with GTM organizations including Sales, Customer Success/Support, Alliances, and Product Marketing at director and VP levels
• Manage strategic customer relationships and handle escalations with appropriate oversight
• Build consensus across departments on complex, cross-functional initiatives
• Develop & present roadmaps and proposals to senior leadership, occasionally engaging with C-suite executives

Customer-Centricity

• Maintain intimate customer knowledge through ongoing strategic customer relationships
• Advocate for customer needs by framing capabilities in terms of customer outcomes and business priorities
• Validate product-market fit through continuous discovery and customer feedback loops
• Drive customer intimacy beyond strategic accounts to understand broader market needs

What You Bring

Required Experience & Track Record

• 8-15 years total work experience, with significant portion in product management or consulting
• 4+ years of people management experience, including leading distributed teams across geographies and time zones
• Proven 0-to-1 success: At least two successful new product launches from conception to market success in the data and analytics domain
• Data-driven product development: demonstrated success using quantitative and qualitative methods to drive product decisions
• Budget and resource management: experience allocating resources across teams and managing to budget

Domain Expertise (Highly Valued)

• Data intelligence and contextualization: understanding of how to add semantic meaning, business context, and governance to streaming data
• Data modeling for decision-making: experience building products that enable customers to model data in ways that drive automated decisions and actions
• Real-time analytics and insights: proven track record with streaming analytics, complex event processing, or real-time intelligence platforms
• AI/ML integration: familiarity with how data preparation, feature engineering, and data quality impact AI model effectiveness and AI-driven automation
• Data governance and compliance: understanding of data lineage, quality, privacy, and regulatory requirements (GDPR, industry-specific mandates)
• Data streaming and movement technologies: hands-on experience with Kafka, TIBCO, MQTT, or similar distributed streaming platforms
• ETL and data integration: familiarity with tools like Talend, GoldenGate, Informatica, or similar data transformation technologies
• Distributed systems: deep appreciation for reliability, scalability, and performance at scale
• IoT and edge computing: understanding of operational technology (OT) and information technology (IT) convergence

Leadership & Management Capabilities

• Strategic thinking: ability to set vision, define strategy, and execute across multiple product lines
• Influence without authority: proven ability to drive alignment across senior stakeholders through data and compelling narratives
• Effective communication: creates clear executive-level communications; teams and stakeholders understand priorities and how work connects to company mission
• Decision-making under uncertainty: comfortable making and defending tough calls, saying "no" thoughtfully, and adjusting course based on data
• Empathetic leadership: delivers challenging feedback and news with honesty, empathy, and understanding
• Cultural steward: demonstrates and champions product management best practices and company values

Technical & Product Skills

• Product instrumentation: ensures products are measured effectively to monitor impact and progress toward goals
• Outcome-focused mindset: cares about achieving business goals, not just shipping features
• Risk identification: thinks ahead to identify risks and mitigation strategies
• Process design: identifies inefficiencies and proposes scalable solutions as business grows
• Stakeholder management: builds and maintains relationships across R&D, Sales, Marketing, Customer Success, Support, and executive teams
  

Ready to shape the future of data intelligence? We're looking for a proven product leader who can think strategically, build exceptional teams, and deliver products that customers love. If you've successfully taken data/analytics products from 0-to-1 and want to do it again at scale with IoT data, let's talk.

We look forward to learning about your product leadership journey.