Product Manager - BDX IAM

Booking.com • Washington D.C., DC

19d • Onsite

About The Position

Booking.com is seeking a full-time Product Manager BDX IAM for its Washington, DC office. This role is within the Data and Machine Learning Platform, specifically on the Data Foundations team, which builds foundational data & AI capabilities such as Lineage, Discovery, Storage, IAM, Compute, and Privacy. These capabilities power enterprise-wide needs across OLTP and OLAP platforms and serve the central B.com enterprise data & AI platform. The Product Manager will set the product strategy, evolution, and adoption of the access management platform for Booking.com’s 100 PB+ multi-modal data & AI platform, integrating with governance tooling like the enterprise policy platform. The goal is to build enterprise-wide Data & AI governance capabilities that enable teams to use data/AI safely and efficiently. This is a hands-on technical platform PM role requiring translation of complex governance requirements into shipped product outcomes, validation through prototyping/experiments, and ensuring the product becomes the default path for user workflows. The IAM platform product team provides identity and access management for multi-modal analytical data, ensuring appropriate access for people and services while minimizing friction. They operate the control plane for human and service access, automating provisioning across Snowflake and S3, enforcing policies, and providing guardrails for data governance and compliance programs (SOx, DMA, privacy regulations). The role involves balancing value for data & AI practitioners and compliance/control/legal functions, with a focus on identifying opportunities, understanding compliance challenges, and leveraging AI to bridge gaps. Familiarity with distributed policy enforcement, access management systems, and data capture/processing across enterprise systems is required.

Requirements

• 6–8 years in Technical Product Management (or equivalent), ideally with 3+ years, building data & AI governance products for a combination of tech and non-tech personas.
• Experienced with distributed data & AI Platforms, including wide and deep understanding of various distributed data processing and AI processing capabilities.
• Familiar with data processing in production, at scale. Understanding of batch and stream processing, as well as native cloud solutions powering such pathways.
• Hands-on experience with distributed data & AI systems and understanding of how various data and AI personas across businesses engage with such platforms to consume and produce multi-modal data for analytical and ML/AI use cases.
• Demonstrated ability to drive adoption: can define KPIs, instrument funnels (conversion, drop off / churn), and iterate based on evidence.
• Strong technical fluency: comfortable with distributed data & AI systems, APIs, integration patterns, typical Data & MLOps journeys, to be able to make informed tradeoffs decisions, feeding product strategy and execution.
• Experience partnering deeply with engineering and architecture; can write crisp requirements and make tradeoffs.
• Working knowledge of data governance concepts applicable to distributed and open data & AI systems (e.g., industry best practices around sensitive data handling, access controls, retention/DSR fundamentals).

Nice To Haves

• User-focused individual who keeps the customer at the heart of everything they do, while having strong commercial awareness.
• Data-driven. Base your decisions on facts rather than opinions.
• A go-getter who isn’t afraid to roll up sleeves and dives into a project to achieve success by problem solving.
• Passionate about data & machine learning and building a platform that can be leveraged by the whole company. Constantly looking for ways to improve and streamline the capabilities.
• Open-minded team player with excellent communication skills.
• Agile and innovative with the tenacity to thrive in a constantly changing environment.
• Self-motivated and results-driven with a take charge attitude to manage the full development cycle of a product.
• Friendly, knowledgeable, and motivational to others. Open to diversity in all shapes and sizes.

Responsibilities

• Set the product strategy, evolution and further adoption of the access management platform for B.com’s 100 PB+ multi-modal data & AI platform, and its integration with various governance tooling like the enterprise policy platform.
• Build enterprise-wide Data & AI governance capabilities that make it easy for teams to ship and use data/AI safely, without slowing them down.
• Own a well-defined product area, partner tightly with engineering and architecture, and drive measurable adoption and product pull.
• Translate complex governance requirements into shipped product outcomes, validate value through prototyping/experiments, and ensure the product becomes the default path for real user workflows.
• Provide identity and access management for multi-modal analytical data for traditional and agentic consumption pathways, ensuring the right people and services (and agents) have the right access at the right time while minimizing friction for data producers and consumers across the BDX platform.
• Operate the control plane for human and service access, automating identity and access provisioning for workflows and services across Snowflake and S3, enforcing fine‑grained policies, and delivering platform‑level guardrails that support Booking.com’s data governance and compliance programs.
• Balance value elements for both user segments - the data & AI practitioners of the business as well as the compliance / control / legal functions.
• Identify opportunities for your product(s), be deeply passionate about the compliance challenges around multi-modal data processing the enterprise and our users face today, understand how AI systems available at our disposal today can help bridge a lot of the these gaps, delighting our platform users by addressing the most pressing access issues - across the disparate multi-modal data processing pathways enterprise wide.
• Own PMF for a platform area: define the problem, target personas, and success metrics; validate value via prototypes/experiments.
• Build and maintain an outcomes-driven roadmap aligned to industry best practices and internal constraints.
• Identify and retire workarounds by making the paved road faster, safer, and easier.
• Own end-to-end delivery: take priority calls of product development/enhancements/defects with user experience at the core; ship safely with rollout and migration plans.
• Partner with engineering and architects to embed governance into developer workflows (DataOps/MLOps) with minimal friction.
• Drive operational readiness (instrumentation, reliability, documentation) for what you ship.
• Drive adoption : documentation, demos, office hours, training, and support models.
• Communicate clearly with stakeholders: decisions, tradeoffs, outcomes, and next bets.

Benefits

• Medical, life, and disability insurance
• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, sick, and care leave
• Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status
• Free access to online learning platforms, mentorship programs, and a complimentary Headspace membership
• Collaborative, friendly and diverse culture
• Referral Program
• Additional Annual bonus potential (role dependent)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed