Acquia
open digital experience
Director,ProductManagement
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“Director, Product Management at Acquia. Skills: Data Product Leadership, Enterprise Data Strategy, AI-Native Product Leadership, Data Governance. lead the centralized Data Product Team. centralization, normalization, and strategic governance of Acquia’s enterprise data assets”
What You'll Achieve.
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.
Industry & Context.
AI-enabled future; better customer outcomes; clear visibility and growth; actionable insights; operational intelligence
What They're Looking For.
Must Have
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 Have
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.
What You'll Do.
lead the centralized Data Product Team
and strategic governance of Acquia’s enterprise data assets
move the organization beyond traditional reporting to a unified
AI-ready data ecosystem
drive market-facing AI capabilities and operational intelligence
develop and execute the strategic roadmap and long-range execution of the Core Data Layer (CDL)
unify product and business data sources into a decentralized intelligence architecture
manage the centralization of fragmented data assets into a semantic intelligence layer
ensure data is accessible for cross-product reasoning and executive decision-making
partner with GTM leadership to deliver actionable insights that improve account management performance
transform platform usage into monetizable
drive the transition toward an AI-native PDLC
ensure the product team is comfortable operating in a high-velocity
automated development environment
lead the strategy for enterprise-wide observability
establish clear KPIs for data quality and decision impact
enforce "Safe-by-Design" protocols
ensure automated PII redaction and robust access controls
ensure data integrity and compliance
How You'll Work.
Team & Collaboration
Partner with GTM leadership
Process & Methodology
long-range planning
Full Job Description
About Acquia Acquia is the open digital experience company that empowers the world’s most ambitious brands to build, scale, and optimize digital experiences using Drupal. Founded by Drupal creator Dries Buytaert, Acquia is a long-standing leader in the digital experience market and a premier contributor to the open-source community. As we accelerate toward a more product-led, AI-enabled future, we are establishing data as a core strategic capability to drive faster decision-making and better customer outcomes. Our mission is to provide a reliable, intelligent cloud platform that transforms complex data into clear visibility and growth, ensuring our customers' digital experiences are always secure, performant, and ahead of the curve. 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 comfortabl
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