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Lead product manager

Experian plc
Chef de produit
Publiée le Publiée il y a 9 h
Description de l'offre

* Schedule: Full Time


Job Description

DataHub’saspiration is to become the access point for Experian data and services across the Ascend Platform providing a single, consistent, scalable interface for customers to discover, select, and activate proprietary data, partner services, and client-supplied data across decisioning, fraud, and identity workflows. Over time, this foundation enables a richer Partner Ecosystem and marketplace evolution streamlining onboarding, improving time-to-value, and unlocking new monetization opportunities.

Own the strategy-to-execution delivery forDataHubin Brazil driving discovery, planning, and roadmap execution acrosstwocore business areas (Credit,Identity & Fraud) while partnering with globalDataHub& Partner Ecosystem teams to deliver scalable, reusable platform capabilities.

You will lead a Brazil-based Scrum team in a co-development model with ESS and other global squads translating regional priorities into clear outcomes, accelerating Credit Decisioning roadmap delivery, launching and evolvingDataHubfor IDF Brazil, and advancing the Mappers-to-DataHubpath with clear metrics and predictable execution.

The context of this role involvesco-development between Brazil and global teams, with a focus on structured discovery, clear prioritization, and predictable delivery across multiple Brazil business stakeholders and global platform dependencies.

Lead the day-to-day product ownership for the BrazilDataHubScrum team, translating strategicobjectivesinto clear initiatives, outcomes, and prioritized backlogs.

Drive a co-development operating model with ESS and global squads,facilitatingalignment and decision-making with stakeholders (often in English) to ensure Brazil market needs, global roadmap priorities, and technical dependencies translate into a strong delivered customer experience.

AccelerateDataHubroadmap priorities forCredit Decisioningthrough co-development, including definition of scope, success metrics, and release plans.

Lead thelaunch ofDataHubfor Identity&FraudBrazil, and provide ongoing product leadership for post-launch priorities, adoption, and continuous improvement (co-development).

Lead discovery and delivery: build and prioritize the roadmap and backlog in partnership with Design, Architecture, and Engineering defining journeys, hypotheses, and success metrics, and ensuring platform-ready requirements (APIs, data contracts, security/compliance) aligned to globalDataHubstandards.

Own the execution plan for theMappers-to-DataHubevolution,including discovery, sequencing, stakeholder alignment, and customer impact management.

Serve as the primary product voice forDataHubin Brazil connecting Product, Design, Engineering, Architecture, Legal/Compliance, and commercial stakeholders to deliverDataHub& Partner Ecosystem outcomes across CreditandID&F initiatives in a global context.


Qualifications

Solid experience inProduct Managementwithin regulated, high-complexity environments.

Experience leadingplatform or data products(APIs, shared services, data contracts) and delivering outcomes across multiple business stakeholders.

Strong experience withagile product delivery: shaping roadmaps, prioritizing backlogs, defining success metrics, and guiding squad execution.

Fluent Englishfor frequent interaction with global teams.

Demonstrated ability to translate complex problems into clear requirements, journeys, hypotheses, and actionable roadmaps.

Experience collaborating closely with Design, Architecture, and Engineering, including managing dependencies and delivery risks in a matrixed environment.

Strong communicationand influencing skills with senior stakeholders (regional and global), and the ability to move between technical audiences, business areas, and executive leadership.

DemonstratedAI Builder fluency, comfort specifying and iterating on AI features through prompt design, agent and tool-use flows, and structured evaluations, workinghand-in-handwith Engineering and applied ML rather than treating AI as a black-box capability.

Hands-on profile with strong ownership, analytical thinking, and comfortoperatingunder ambiguity.

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