Instapro Group is looking to hire a highly passionate and data-driven, experienced and creative product leader to manage, lead, grow, and mentor our Data teams.
Our Data teams currently consist of three teams: one team that focuses on our Experimentation & Adtech technology, one team that helps other product development teams with their Event Tracking, and one team that builds out and maintains our Data Engineering setup. Additionally, we expect the Group Product Manager Data also to work closely with our Data Scientists to ensure we leverage our data efficiently.
You will work alongside the other Group Product Managers and report directly to the VP Product. As Group Product Manager, you will mentor, coach and manage the Product Managers in your teams, and align with your peers and management. As a motivating leader, you will lead the development of the foundational data technology of our product, drive and optimize internal processes to further improve our data- and experiment driven product development processes, and work closely with other teams and Data Scientists to help them get the most out of our data capabilities.
This position requires a data mindset, technological knowhow and a deep understanding of data platform technologies, ML and AI and their applications in real-world scenarios. The ideal candidate combines deep domain knowledge with a consultative mindset and strong communication skills. You are used to partnering with product people and higher management alike in a fast-paced and team-driven environment.
Your role includes the following:
Co-create (with Engineering) a data product strategy for the company, formulating clear goals that the data teams can deliver on, and taking all requirements from other teams into account
Ensuring you and the product managers can turn that strategy into a concrete product roadmap and execute on it
Lead a team of product managers and provide guidance, coaching, and mentorship to help them achieve their goals and deliver high-quality products.
Work closely with business and product stakeholders to identify opportunities for new data products and services that can drive revenue growth and improve customer experience.
Provide thought leadership in the field of AI and ML, both internally and externally, by staying informed about industry best practices, trends, and advancements.
Together with your product peers evangelize an evidence-based and experiment-driven culture in our product development department