How you can help make a better world of work

We are seeking a Senior Product Manager to lead our Data Products portfolio within the Data Intelligence camp. Your mission will be to bring together the rich data between Culture Amp products and surface it in our new insights engine that will deliver to AI Coach, our AI-driven intelligence layer, and other new data product experiences. 

This will help our thousands of customers answer complex questions about workplace engagement, performance confidence, talent management, and organisational performance. 

In this role, you will lead two specialised groups: data engineers focused on data management for our insights engine, and data scientists responsible for maximising value from the rich data available for us to drive actionable insights for our customers. 

You will need to be technically conversant, but keep your focus firmly on the customer impact and commercial outcomes. 

What you’ll spend your time doing

• Setting the direction: You’ll own the roadmap for our insights engine, enabling us to slice data optimally for product experiences and be delivered via methods such as APIs and MCP. This foundation will allow product teams to compute many insights on demand with the necessary high performance.
• Leading data discovery: You will be close to our customers, partnering with data scientists, product managers, designers, and people scientists to identify what is viable and meaningful within our data before we build. This may include data profiling, statistical analysis, rapid prototyping, customer interviews, and/or market research to ensure our insights solve real-world problems.
• Extending our benchmarks & statistical products: You will oversee our cornerstone survey benchmarks and the development of new statistical data products. 
• Navigating complexity: Defining boundaries between domain concepts spanning customer & industry terminology, data modelling/schemas/specifications, authorisation models, and internal systems so as to make the product development process efficient and easy to navigate. 
• Collaboration & communication: Serve as the point of contact for a range of technical and non-technical stakeholders. You will translate technical constraints into clear trade-offs and outcomes, creating artifacts that communicate both the 'why' and the 'what' of your team's work.
• Product lifecycle & advocacy: You will evangelise our insights capabilities across the business, aligning multiple teams on a unified customer data and insights strategy while maintaining a balance of short term value and long term health.

What you’ll potentially bring to the table

• Data roots: You probably have hands-on experience in a data-centric field such as analytics, data science, machine learning, or engineering. You are comfortable with the nitty-gritty of data modeling and appreciate the complexities of cloud-based data infrastructure. 
• Commercial awareness: It would be Ideal if you had a proven track record of developing and launching data products to market. While this is not essential, you must be able to translate technical outputs into commercial value and enjoy the process of customer discovery to prioritisation to launch. You can measure success by how effectively your portfolio delivers commercial value for the business. 
• AI familiarity: You should have an appreciation and some familiarity with use of Large Language Models and data constraints for AI product development.
• Resilience & stakeholder management: You can handle the high expectations of a wide variety of stakeholders. You are comfortable making difficult trade-offs between future-state architecture and immediate feature delivery.
• Balance of detail and strategy: You can manage highly detailed statistical decisions while maintaining the big picture vision required to motivate a cross-functional team of engineers and scientists.
• Research and communication: You can collect qualitative and quantitative inputs to find patterns and distill them into actionable insights. You have a proven ability to explain complex technical concepts to diverse audiences.
• Curiosity & passion: You are what we call a "people geek" - someone who is genuinely curious about the intersection of data, human behavior, and organisational culture.