Data Product Owner - Data-In Squad (m/f/d)

at  adsquare GmbH

ABOUT THE TEAM

We are a highly motivated and skilled team, where everyone’s role has a real impact on the company’s growth. Success and fun are combined in a great company culture with people from all over the world, that creates a melting pot of individuals with more than 20 different nationalities!

ABOUT US

Adsquare is the global audience & location intelligence company making marketing a whole lot smarter.
With eight offices around the world we are a truly international company but one united team working towards our vision: empowering companies to accelerate business growth by staying at the forefront of data-driven marketing.
We are pioneers in advertising and data. We were born mobile, before it was a necessity, and have pioneered data-driven advertising in display and now DOOH. We have the smartest people, working with the best tech, so we can drive the pace of change.
We are visionaries. We see a better way for marketers and are doing everything we can to make that a reality. We believe in innovation and the power of technology. We believe in constantly improving what we’re doing because the work is never done.
We believe in what we do and rise to meet our own high standards. If there’s a problem, we fix it, humbly and without fuss or delay. Although our technology is best-of-breed, we are unassuming and modest in our approach.
We are passionately candid, both with each other and with our clients. We take the time to explain our approach to their problem, confident there is nothing to hide.
We are consistent and true to our word. We don’t take shortcuts but focus on being our clients’ most reliable partner. We make promises - and we keep them. As a result, clients enjoy spending time with us, because we are good people

• Lead the Data-In Squad: lead a squad of data engineers focused on the efficient ingestion, processing, and storage of big data from various providers across 20+ markets
• Backlog Management: Maintain and prioritise the product backlog, ensuring it is aligned with the product roadmap and business goals. Ensure the team understands and delivers on the highest priority items
• Maximise Team Output: Drive and maximise the output of the data engineering team by ensuring clear requirements, removing obstacles, and facilitating efficient workflows
• Roadmap Development: Develop and maintain a product roadmap for data ingestion and processing, outlining key initiatives and timelines
• Cross-Functional Collaboration: Collaborate closely with data analytics engineering and data science teams to ensure the ingested data is accessible and can be leveraged to create valuable data products
• Stakeholder Management: Work with our Data Partnerships & Technical Account Management teams, as well as other Product Managers to gather requirements, provide updates, and ensure alignment on data strategy and priorities
• Technical Specifications: Create detailed data requirements, user stories, and technical specifications for data projects
• Quality Assurance: Conduct data quality testing to guarantee the reliability and accuracy of ingested data
• Monitoring and Improvement: Monitor and analyse the performance of data ingestion processes post-launch and gather feedback for continuous improvement
• Documentation and Training: Plan and execute the launch of new data ingestion processes, including developing documentation and training materials for internal teams
• Research and Analysis: Research and analyse data market trends, customer needs, and competitive products to inform data strategy