Senior Manager, Data Products

Philip Morris International U.S.•Tampa, FL

1d•$160,000 - $200,000•Hybrid

About The Position

The Insights Data & Analytics hub operates within a product-based framework, prioritizing collaboration, innovation, and most importantly, delivery of value to our customers through impactful data products. We are committed to applying data and advanced analytics to drive business growth and provide outstanding value to our customers across functions and categories. The Product Owner will play a pivotal role in crafting and delivering data product strategy, data and analytics solutions, and capabilities that drive insights and improve decision-making by our key business function stakeholders.

Requirements

Bachelor's degree or equivalent experience in Information Technology, Computer Science, Data Science, Business Analytics, Business.
8+ years as a Product Owner or in data product management or an equivalent field with a focus on data product development and data management in the CPG industry.
Proficiency in Agile methodologies, Scrum practices and Scaled Agile (SAFe) with the ability to lead and collaborate effectively.
Familiarity with data product development process – data modeling, ETL processes, and data visualization tools.
Legally authorized to work in the U.S.
Fluent in English
Commutable distance to Tampa, FL.

Nice To Haves

Preferred professional designations such as Product Owner Certifications (e.g. LPM, POPM, CSPO), Certified Data Management Professional (CDMP), and Scaled Agile Framework (SAFe)

Responsibilities

Define the long-term vision for data products by translating business needs into data product features and improvements.
Own the end-to-end product lifecycle (ideation, launch, scaling, maintenance, end of life), guiding the investment decisions and understanding the Total Cost of Ownership.
Lead a multi-disciplinary analytics product team to build and own the data product based on priorities.
Develop user stories, acceptance criteria, and detailed product specifications.
Manage the product backlog, prioritizing features and improvements based on changing requirements to improve value delivery.
Understand data privacy regulations and data governance practices to ensure data quality, security, and compliance, and follow market needs, industry trends/best practices, and emerging technologies for data and analytics solutions.
Supervise the performance and quality of data and analytics solutions and continuously trigger enhancements with DI&A core product and technology teams for continuous improvement.