Senior Data Product Manager

Overview

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Job Purpose

This is a pivotal, foundational role within RWS Product & Technology, as we build out a world-class Data and AI capability. As a Data Product Manager, you will be instrumental in transforming our enterprise data into high-value, governed data products. This isn't just about managing data; it's about applying product thinking to data assets to improve decision-making, enable advanced analytics, and lay the critical groundwork for our future AI and agentic AI architectures.

You will own a specific domain of data, treating it as a product—defining its roadmap, ensuring quality, and maximizing its business impact. This opportunity is unique because you will be a founding member of the Data Product Management function, shaping the standards, processes, and tools we use to establish a federated, data-driven culture built on modern concepts like Data Mesh.

You will report to the VP of Data, partnering closely with Data Engineers, Data Scientists, and business stakeholders across the organization to ensure our data delivers measurable business value.

Product & Technology plays a pivotal role in aligning the organization with its strategic objectives and enhancing shareholder value. Product & Technology is responsible for establishing unified standards and governance practices throughout the company. Additionally, we oversee the development and maintenance of core applications essential for the seamless operation of various functions across the organization. We are committed to driving and executing future roadmaps that are in line with the overall strategic direction of RWS.

With a global reach, Product & Technology provides support services to over 7500 end users worldwide. We take pride in managing the information security operation and safeguarding all our assets. Our core functions encompass Enterprise & Technical Architecture, Network & Voice, Infrastructure, Service Delivery, Service Operations, Data & Analytics, Security & Quality Compliance, Transformation, Application Development, Enterprise Platforms, With a dedicated team of over 500 staff, Product & Technology ensures a strong presence across all regions, enabling efficient and effective support to our global operations.

You will own the end-to-end lifecycle of high-value data products, focusing on business impact and technical excellence.

• Define and Develop Data Products: Treat specific data domains (e.g., Customer, Inventory, Financials) as products, defining their value proposition, user personas, and iterative release roadmap.
• Bridge Stakeholder Gaps: Act as the primary liaison between Data Engineering teams and business domain experts, translating complex business needs into clear, deliverable data requirements.
• Drive Self-Service Adoption: Create and manage semantic layers, providing clear documentation and tooling (like Looker/Big Query reference queries) to enable business users to confidently explore and use data products without constant central team support.
• Enable AI and Analytics: Design data products to seamlessly support downstream consumers, from foundational reporting to complex ML models and emerging agentic AI architectures (e.g., Model Context Protocol).
• Advocate for Data Mesh Principles: Ensure your data products adhere to core standards:
  Discoverable, Addressable, Trustworthy, Self-describing, Interoperable, and Secure (DATSIS).
• Establish Data Contracts and Quality: Build and enforce "data contracts" between producers and consumers to guarantee stable schemas, semantics, and predictable consumption, owning accountability for data quality across your domain.
• Monitor and Optimize Value: Track key metrics including data product adoption, usage, quality (Service Level Objectives/SLOs), and the associated costs (Fin Ops), ensuring a high return on investment.

We value diverse experience and a passion for data-driven innovation. We encourage you to apply if you are excited about this role, even if you don't meet every single qualification…