Product Manager (Data Science)

At Everway (formerly n2y/Texthelp), our goal is to lead the world in Neurotechnology software, helping transform the way we understand and are understood. 

We’re a global community of over 550 team members spanning seven countries, including the UK, USA, Norway, Denmark, Sweden, Australia, and New Zealand. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued. A world where everyone can thrive.

We can only achieve our goals and continue to grow by having high performing people in our team, people who share our goals and are passionate about our mission. We pride ourselves on our core values that are embedded within our culture. These are to be curious, have courage, and commit fully.

Join us at Everway - together, we can unlock the full potential of every mind.

Introduction

We are seeking a Data Science Product Manager to lead the strategic use of data science and advanced analytics directly within our Product team. As our primary product-focused data expert, you’ll independently leverage data-driven insights, predictive analytics, and strategic thinking to guide product strategy, enhance customer value, and drive innovation. You will work collaboratively with Product Managers, Designers, Developers, and Analysts to shape data-informed product decisions and solutions.

This role combines strategic product leadership, hands-on data analysis, and the practical application of data science techniques to directly inform product roadmaps, development, and user experiences.

Main Responsibilities 

• Independently identify, collect, and analyze product and user data to generate insights that inform product strategies, roadmaps, and priority decisions.
  
  
• Define, track, and communicate key product metrics and KPIs, ensuring product decisions are consistently informed by meaningful data.
  
  
• Develop and apply advanced analytical techniques (e.g., predictive modeling, segmentation, regression, forecasting) to enhance products, discover user opportunities, and improve customer experiences.
  
  
• Own and continuously evolve the product analytics roadmap, proactively identifying new data sources, integrations, and analytics tools to advance product capabilities.
  
  
• Collaborate closely with cross-functional stakeholders (Product Managers, UX, Engineering, Systems, Marketing, RevOps) to translate complex data into actionable, strategic product initiatives.
  
  
• Clearly communicate analytical findings and strategic recommendations to leadership, product teams, and non-technical stakeholders through effective data visualization and presentations.
  
  
• Provide thought leadership within the Product organization, advocating best practices in data-informed decision-making and product development.
  
  
• Work with product and development teams to define data collection strategies, ensuring the right data is captured efficiently and effectively to support relevant business insights.
  
  
• Work collaboratively to harmonize, document, and maintain standardized product data models, ensuring consistent and reliable data usage across product teams.
  
  

Essential Criteria

• 3+ years of experience in a data science or advanced analytics role, specifically supporting Product Management, preferably in SaaS environments.
  
  
• Proven ability to independently extract, interpret, and communicate actionable insights from large datasets.
  
  
• Strong proficiency in SQL and at least one statistical or analytical programming language (e.g., Python or R).
  
  
• Hands-on experience with data visualization tools (preferably Tableau) to clearly communicate insights and recommendations.
  
  
• Exceptional communication skills to effectively translate complex analytical insights into strategic product decisions for both technical and non-technical stakeholders.
  
  
• Proven experience defining and tracking product-related KPIs and metrics.
  
  

 

Desirable Criteria 

• Familiarity with data collection and management platforms such as Google Analytics, Application Insights, and Databricks, as well as product analytics platforms such as Pendo, Amplitude, Mixpanel, Segment, or similar.
  
  
• Experience working in Agile/Scrum product environments.
  
  
• Familiarity with documentation tools like Confluence, JIRA, or similar.
  
  

Personal Attr