Product Manager

Description

WPP is the trusted growth partner for the world’s leading brands.

We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.

We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.

Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.

For more information, visit WPP.com.

WHO WE ARE

About Data & Technology Solutions

WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data data-driven solutions and technology product to power marketing transformation.

WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost.

We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world.

WHO WE ARE LOOKING FOR

We are seeking an enthusiastic and analytical Product Owner with a passion for leveraging data to build impactful products. In this role, you will support the product development lifecycle for our data-driven marketing solutions, including the WPP Open platform. You'll be instrumental in translating user needs and data insights into clear product requirements, ensuring our solutions are innovative, valuable, and technically sound. Your strong understanding of data and SQL will be key to communicating effectively with engineering and data science teams and making informed product decisions.

Responsibilities

• Support Product Development & Lifecycle Management
• Assist in defining, documenting, and prioritizing product requirements, user stories, and acceptance criteria based on user needs, business goals, and data analysis.
• Work closely with Product Managers, Engineering Leads, Data Scientists, and UX Designers to ensure a shared understanding of product features and their underlying data implications.
• Help manage and refine product backlogs, participate in agile ceremonies (sprint planning, stand-ups, reviews), and support release cycles.
• Conduct competitive analysis and market research to identify opportunities and stay informed about industry trends in data and AI for marketing.
• Leverage Data for Product Insights and Validation
• Utilize SQL and other data analysis tools to query datasets, analyze product performance, identify trends, and generate insights that inform product strategy and prioritization.
• Collaborate with data engineers and data scientists to understand data availability, schemas, quality, and potential for new product features or enhancements.
• Define and track key product performance indicators (KPIs) and metrics, helping to evaluate the success of new features post-launch.
• Help ensure data quality and integrity within product features, flagging discrepancies or potential issues.
• Facilitate Stakeholder Communication & Feedback
• Communicate product updates, release notes, and progress to various internal stakeholders, effectively highlighting the data-driven rationale behind product decisions.
• Gather feedback from users, internal teams (e.g., commercial, operations), and clients to continuously iterate and improve our products.
• Support in preparing presentations and documentation to articulate product vision, strategy, and roadmap.
• Continuous Learning & Contribution
• Actively seek to deepen your understanding of AdTech data, our internal platforms (including WPP Open), and user behaviors through self-study and mentorship.
• Contribute to the continuous improvement of product management processes and tools within the team.
• WHAT YOU WILL NEED
• 0-2 years of experience in a product, business analyst, data analyst, or similar role with exposure to software development.
• Proficiency in SQL is essential, with the ability to write complex queries to extract, analyze, and manipulate data from various sources.
• Solid understanding of relational databases and data warehousing concepts.
• English fluency C2
• Experience with data visualization tools (e.g., Tableau, Looker, Power BI) is a strong plus.
• Familiarity with Agile methodologies (Scrum, Kanban) and the software development lifecycle.
• Ability to define and document clear product requirements, user stories, and acceptance criteria.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable product insights.
• Excellent written and verbal communication skills, able to articulate technical concepts to non-technical audiences and vice-versa.
• Proven ability to work effectively in a cross-functional team environment.
• Bachelor's degree in Computer Science, Engineering, Business, Marketing, Economics, Statistics, or a related quantitative field.
• If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team.
• We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
• WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
• We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
• WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Requirements

• Data-curious, with a proven ability to analyze information and derive actionable insights.
• Analytical and detail-oriented, capable of breaking down complex problems and defining clear product needs.
• An excellent communicator, able to bridge the gap between technical and business stakeholders.
• A proactive learner, eager to deepen your understanding of AdTech, product management, and data-driven methodologies.
• Collaborative, thriving in a cross-functional team environment and contributing to a shared vision.