Product Lead

Norwegian Cruise Line Holdings Ltd.•Miami, FL

About The Position

Norwegian Cruise Line Holdings (NCLH) is a leading global cruise company operating the Norwegian Cruise Line, Oceania Cruises, and Regent Seven Seas Cruises brands. The company currently operates 32 ships, employs over 35,000 shipboard crew, and visits approximately 700 different port destinations annually. NCLH plans to expand its business by adding 13 additional ships across the three brands through 2036. The Product Lead role is crucial for translating product strategy and roadmap into detailed features, user stories, and data product requirements, including data models, transformations, and integration needs. This position involves owning and managing the product backlog for data products, pipelines, and integrations, ensuring alignment with business objectives. The Product Lead will partner with engineering, QA, and delivery teams to ensure high-quality, scalable, and timely delivery of data solutions, collaborating with stakeholders to define data needs and validate solutions. Key aspects include defining data definitions, lineage, and acceptance criteria, participating in agile ceremonies, ensuring data quality and integrity, and supporting integration efforts across systems. The role also involves tracking product progress, risks, and dependencies, supporting user acceptance testing and post-launch validation, driving continuous improvement, and ensuring compliance with enterprise standards, data governance, security, and compliance requirements. NCLH fosters a culture built on Innovation, Collaboration, Transparency, and Passion, valuing People Excellence and seeking driven individuals to contribute to guest experiences and operational excellence.

Requirements

Bachelor's Degree in Computer Science, Information Systems, Business Administration, or related field.
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.
Certified Scrum Product Owner (CSPO) or equivalent Agile certification.
Certified Business Analysis Professional (CBAP) or PMI Professional in Business Analysis (PMI-PBA).
Data Management certifications such as DAMA Certified Data Management Professional (CDMP).
Certified Analytics Professional (CAP) or similar data and analytics certification.

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.