Senior Director, Product Management

Responsibilities

• 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 Manage

Benefits

Additional Information

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.

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