Director, Product Management

Acquia

12d

About The Position

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.

Requirements

Proven track record of managing complex data environments, including Big Data, Data Warehousing, and real-time stream management.
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.
Significant experience (5-10 years) leading high-performance product teams, with a specific focus on SaaS analytics, observability infrastructure, or usage-based platforms.
Significant experience in PaaS, enterprise software, or Digital Experience Platform (DXP) environments.
Ability to drive outcomes in a transformed product landscape where AI is a core capability, not just a feature.
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 impact, product adoption, and financial performance (Revenue, COGS, Margin).

Nice To Haves

AI initiatives are accelerated across the company because a high-fidelity, unified data layer is already operational.
Customer and business data are successfully converted into monetizable insights that drive account growth and performance.
The Data Product Team consistently delivers high-quality value by leveraging a modern, AI-integrated product lifecycle.
Embraces innovation and the potential of AI to enhance our processes and improve our work.
Open to learning new technologies and collaborating with AI tools to achieve our goals.

Responsibilities

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.
Manage the centralization of fragmented data assets into a semantic intelligence layer, ensuring data is accessible for cross-product reasoning and executive decision-making.
Partner with GTM leadership to deliver actionable insights that improve account management performance and transform platform usage into monetizable, value-based outcomes.
Drive the transition toward an AI-native PDLC, ensuring the product team is comfortable operating in a high-velocity, automated development environment.
Lead the strategy for enterprise-wide observability to reduce Mean Time to Resolution (MTTR) while establishing clear KPIs for data quality and decision impact.
Enforce "Safe-by-Design" protocols, including automated PII redaction and robust access controls to ensure data integrity and compliance.