Senior Director, Product Management

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.

• Define and drive the Data & AI platform strategy, aligned to company and product vision.
• Translate business goals into roadmaps tied to measurable outcomes such as adoption, revenue, and 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.

• 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.

• 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.

• 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 work streams.
• 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.

• 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.

• 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.

• 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.

• 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.

• 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…