Director, Product Management

The Role

Acquia is seeking a Director of Product for Data & Intelligence to lead the centralized Data Product Team. This senior leadership role is accountable for the centralization, normalization, and strategic governance of Acquia’s enterprise data assets—encompassing both platform telemetry and business-critical data. You will move the organization beyond traditional reporting to a unified, AI-ready data ecosystem that powers market-facing AI capabilities and drives operational intelligence.

Strategic Accountabilities

• Enterprise Data Strategy: Be accountable for the strategic roadmap and long-range execution of the Core Data Layer (CDL), unifying product and business data sources into a decentralized intelligence architecture.
• Normalization of Data Silos: Manage the centralization of fragmented data assets into a semantic intelligence layer, ensuring data is accessible for cross-product reasoning and executive decision-making.
• Strategic GTM Alignment: Partner with GTM leadership to deliver actionable insights that improve account management performance and transform platform usage into monetizable, value-based outcomes.
• AI-Native Product Leadership: Drive the transition toward an AI-native PDLC, ensuring the product team is comfortable operating in a high-velocity, automated development environment.
• Platform Observability & Intelligence: Lead the strategy for enterprise-wide observability to reduce Mean Time to Resolution (MTTR) while establishing clear KPIs for data quality and decision impact.
• Enterprise Governance & Risk Management: Enforce "Safe-by-Design" protocols, including automated PII redaction and robust access controls to ensure data integrity and compliance.

Professional & Technical Requirements

• Scale and Scope: Proven track record of managing complex data environments, including Big Data, Data Warehousing, and real-time stream management.
• Technical Fluency: Strong working knowledge of vector databases (pgVector), semantic data structures, and AI orchestration frameworks (e.g., LangChain) sufficient to guide technical teams and validate architectural decisions.
• SaaS & Platform Leadership: Significant experience (5-10 years) leading high-performance product teams, with a specific focus on SaaS analytics, observability infrastructure, or usage-based platforms.
• DXP/PaaS Background: Significant experience in PaaS, enterprise software, or Digital Experience Platform (DXP) environments.
• AI-Native Mindset: Ability to drive outcomes in a transformed product landscape where AI is a core capability, not just a feature.
• Business Acumen: Strategic maturity that is demonstrated by an ability to manage long-range planning and enterprise-level impact as well as conduct regular business reviews with a focus on P&L i