Senior Director, Product Management

About this role

We are seeking a Director of Product & Engineering to lead our  Data & AI Platforms portfolio , owning end-to-end strategy, architecture, roadmap, and execution for a modern, scalable, and AI-enabled data ecosystem.   This leader will transform fragmented data and technology capabilities into a  unified, global platform  that enables analytics, automation, AI-powered workflows, and ecosystem integration. You will lead Engineering teams and partner closely with Design, GTM, and Customer teams to deliver measurable customer and commercial outcomes while operating at both  strategic and hands-on execution depth .   This role includes building and leading a  high-performing, globally distributed organization of Product Managers and Engineering leaders , and establishing consistent product and engineering operating standards across regions.   What You Will Own Platform Strategy & Vision • Define and drive the  Data & AI platform strategy , aligned to company and product vision • Translate business goals into  roadmaps tied to measurable outcomes (adoption, revenue, retention) • Establish a  unified data and AI platform , leading the delivery of models, workflows, and capabilities across analytics, APIs, integrations, and AI services • Rationalize fragmented capabilities into a  scalable, reusable platform model • Partner to drive  technology unification and synergy strategies across regions, time zones, and global workforce environments

Data & AI Platform Leadership • Build and evolve core platform capabilities including:  • Data ingestion, pipelines (ETL/ELT), and real-time streaming • APIs, integration frameworks, and partner extensibility • Data models, governance, and metadata/lineage • Analytics, reporting, and reusable data products

• Define and execute  API and ecosystem strategy , including partner monetization and platform access models • Define and operationalize  standardized data packages and distribution models  to support global consumption and regional needs

AI-Driven Product Transformation • Identify and deliver  AI use cases embedded into core workflows  (not bolt-ons) • Leverage  LLMs, RAG architectures, and agentic AI patterns  to improve customer outcomes and internal efficiency • Define and scale  AI platform capabilities , including model lifecycle, RAG systems, agent orchestration, data pipelines, and governance • Drive Engineering execution of  AI platform services and AI-assisted development practices

Execution & Delivery • Drive  high-quality, predictable execution  across multiple teams, regions, and time zones • Define and evolve the  product and engineering operating model , including team topology, platform vs. product boundaries, and delivery ownership • Implement outcome-driven product and engineering practices across data, AI, and platform workstreams • Ensure consistent delivery standards, tooling, and metrics across teams • Own and standardize the global inventory, packaging, and delivery of data products , ensuring consistent, scalable, and reliable access across regions, time zones, and customer segments • Remove blockers and drive accountability for results

Customer & Market Leadership • Maintain deep understanding of  customer needs, industry trends, and competitive landscape • Lead discovery and validation to ensure products solve  high-value problems , clearly articulating value propositions tied to measurable client outcomes • Represent the platform internally and externally through client engagement, thought leadership, and industry presence

Commercial & GTM Alignment • Partner with Sales, Marketing, and Customer Success on  go-to-market execution • Support pricing, packaging, and monetization strategies for data and platform products • Drive growth of  data- and API-based revenue streams • Own or materially influence revenue, adoption, and margin performance  of data and platform products

Stakeholder Leadership • Partner effectively with senior executives across Product, Engineering, and GTM • Communicate strategy, progress, and trade-offs clearly across stakeholders • Represent the platform in executive forums and drive cross-functional alignment

Team Leadership • Build, lead, and scale a  high-performing, globally distributed organization of Product Managers and Engineering leaders  across North America, EMEA, and APAC • Coach teams on strong product thinking, engineering excellence, platform mindset, and execution discipline • Establish a consistent, high bar for product management and engineering practices

What Success Looks Like • A  clear, adopted Data & AI platform strategy  across the organization • Measurable improvement in  data accessibility, platform adoption, and revenue impact • AI capabilities embedded directly into  customer workflows and products • Reduced duplication and increased reuse via  platform standardization • Consistent, reliable global delivery of standardized data products across regions and time zones • High-performing product and engineering organization operating with  consistent quality and velocity

Experience & Skills Leadership, Product Management & Engineering • 10+ years in Product Management and/or Engineering leadership, including management of Product Managers and technical teams • Experience owning  multi-product SaaS or platform portfolios • Proven ability to operate and influence at the  executive level • Strong experience with  platform product models and ecosystem thinking

Data, Analytics & AI • Experience building  data and analytics platforms  (data lakes, data warehouses, semantic models, pipelines, reporting) • Strong understanding of  APIs, integrations, and platform extensibility • Practical experience applying  AI/ML, LLM-based capabilities, RAG systems, and agentic AI  in products • Understanding of  data governance, semantic models, real-time data, and integration patterns

Execution & Delivery • Track record of delivering  complex, scalable SaaS products • Strong data-driven decision

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