Product Lead

Norwegian Cruise Line•Miami, FL

About The Position

Norwegian Cruise Line Holdings (NCLH) is seeking a Product Lead to translate product strategy and roadmap into detailed features, user stories, and data product requirements. This role involves owning and managing the product backlog for data products, pipelines, and integrations, and partnering with engineering, QA, and delivery teams to ensure high-quality delivery of data solutions. The Product Lead will collaborate with stakeholders to gather requirements, define data needs and metrics, and validate solutions. Key responsibilities include defining and documenting data definitions, lineage, and acceptance criteria, participating in agile ceremonies, ensuring data quality, integrity, and reliability, supporting integration efforts, tracking and communicating product progress, and supporting user acceptance testing and post-launch validation. The role also drives continuous improvement and ensures alignment with enterprise standards, data governance, security, and compliance requirements.

Requirements

Minimum of 5 years of experience in product management, data product delivery, business analysis, or related discipline.
Experience working with data warehouse platforms, data pipelines, and system integrations in an enterprise environment.
Experience translating business requirements into detailed user stories, data requirements, and acceptance criteria.
Experience working in agile environments and partnering closely with engineering, QA, and delivery teams.
Experience managing product backlogs and supporting end-to-end delivery of data or integration solutions.
Strong analytical and problem-solving skills, with the ability to navigate complex data and integration challenges.
Ability to translate business needs into clear, actionable requirements and measurable outcomes.
Effective collaboration across engineering, QA, and business teams to drive aligned delivery.
Clear and concise communication, able to bridge technical and non-technical stakeholders.
High attention to detail, particularly in data accuracy, definitions, and validation.
Ability to prioritize and manage multiple initiatives in a fast-paced environment.
Ownership mindset with a focus on accountability and delivery outcomes.
Working knowledge of data governance, security, and compliance principles.

Nice To Haves

Experience working with enterprise data platforms, cloud data warehouses, or modern data stack technologies.
Experience with ETL or ELT processes, data integration tools, and data transformation frameworks.
Experience with data governance, data quality, and metadata or lineage practices.
Experience working across multiple systems and managing dependencies in complex data ecosystems.

Responsibilities

Translate product strategy and roadmap into detailed features, user stories, and data product requirements, including data models, transformations, and integration needs.
Own and manage the product backlog across data products, pipelines, and integrations, ensuring clear prioritization aligned with business objectives.
Partner with engineering, QA, and delivery teams to ensure high quality, scalable, and timely delivery of data solutions.
Collaborate with stakeholders to gather requirements, define data needs and metrics, and validate solutions against business outcomes.
Define and document data definitions, lineage, and acceptance criteria to ensure consistency, usability, and transparency.
Participate in agile ceremonies, including sprint planning and backlog refinement, to support effective delivery.
Ensure data quality, integrity, and reliability through validation, testing, and monitoring practices.
Support integration efforts across systems, ensuring accurate and timely data flow between upstream and downstream platforms.
Track and communicate product progress, risks, dependencies, and impacts across systems and data pipelines.
Support user acceptance testing, releases, and post launch validation of data products and reporting outputs.
Drive continuous improvement by incorporating user feedback, data usage insights, and performance metrics.
Ensure alignment with enterprise standards, data governance, security, and compliance requirements.
Perform other job-related duties as assigned.