Job Information
Publicis Groupe Data Product Owner- Senior Associate-Retail in United States
Company description
Tremend is the newest global software engineering hub for Publicis Sapient. For over 20 years, the company has been infusing its advanced technical expertise into complex and innovative solutions that meet today's digital transformation needs and pave the way for a better and smarter future. By joining forces with Publicis Sapient we're accelerating the impact, providing a good mix of talented engineers, technology, continuous improvement, innovation, and R&D. Here, you'll have the opportunity to unleash your potential, powering up advanced software solutions for some of the world's most iconic brands. Embrace your passion for technology, creativity, and continuous improvement, and join us in making a difference through engineering.
Overview
We are looking for a Data Product Owner with strong hands-on experience in data analytics and a solid understanding of data platforms, reporting, and BI solutions, within the Retail industry. This role sits at the intersection of business, data, and technology, driving the development of data products that deliver measurable value.
Key Responsibilities:
Own and drive the vision, roadmap and backlog for data products (reports, dashboards, data services)
Define and refine reporting and analytics requirements in collaboration with retail business stakeholders (ex: sales, marketing, operations, supply chain)
Translate business needs into clear user stories and data specifications for data engineers and analysts
Work closely with data engineering teams on data pipelines, data models and analytics solutions
Challenge and contribute to architectural decisions to ensure scalability, performance and data quality
Oversee the development of dashboards and reports (Power BI or similar), ensuring usability and business relevance
Enable data-driven decision-making across key retail domains (ex. customer behavior, sales performance, inventory, pricing)
Support data extraction, validation and interpretation to ensure accuracy and business trust
Requirements:
Proven experience as a Data Product Owner / Product Owner / Senior Business Analyst in Retail environments
Hands-on experience in data analytics, reporting or dashboard development (Power BI or similar BI tools)
Strong understanding of retail data domains (sales, customers, products, supply chain, promotions)
Solid knowledge of data pipelines, data modeling and analytics workflows
Experience working with cross-functional teams (data engineers, analysts, business stakeholders)
Ability to bridge business and technical perspectives and challenge solutions constructively
Experience in backlog management, prioritization and Agile delivery
Strong analytical mindset and attention to detail
Experience with omnichannel retail, eCommerce or loyalty programs
Exposure to SQL, APIs or modern data architectures (ex. cloud data platforms)
Background in consulting or complex, multi-stakeholder environments
Additional information
Besides an exciting job in a tremendous team, here's what you can expect:
A fast-paced tech environment
Continuous growth & learning
Open feedback culture
Room for own initiative & ideas
Transparency about results & strategy
Recognition & reward for hard work
Working with a flexible schedule
Medical subscription
Meal tickets
Extra vacation days - starting with 25 vacation days
Many others perks