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.

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 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

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 GTMCommunicate 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 APACCoach 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 LikeA 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…