Product Manager - Intelligence & Data Solutions

We are building an intelligence platform where data, analytics and decision-making solutions come together to solve complex business problems. We are looking for a Product Manager who can operate at the intersection of Product, Data, Analytics and Business - turning complex datasets and analytical frameworks into scalable, enterprise-grade products.

What You'll Own

1. Intelligence Product Strategy:

- Own the roadmap for data-driven intelligence products across observability, diagnostics and forecasting.

- Translate business problems into scalable product capabilities, analytical frameworks and repeatable solutions.

- Prioritise initiatives based on customer impact, commercial potential, scalability and data feasibility.

2. Data & Analytical Foundations:

- Work with Data, Engineering and Data Science teams to identify and structure datasets and signals for product use.

- Define metrics, taxonomies, derived attributes, transformations and analytical logic.

- Ensure data quality, coverage, validation and methodology are robust and defensible.

- Challenge assumptions around data, metrics and analytical outputs.

3. Problem - Product:

- Work with customers and business stakeholders to identify recurring problems and decision-making needs.

- Convert ambiguous requirements into structured product and analytical solutions.

- Distinguish scalable product capabilities from one-off analysis or custom requests.

- Build configurable solutions within a defined product framework.

4. Product Experience & Delivery:

- Define requirements for dashboards, analytical tools, reports and decision-support workflows.

- Shape how users interact with metrics, models, dimensions, filters and time-based insights.

- Partner with Design and Engineering to build intuitive analytical experiences.

- Track adoption, engagement, data quality and business impact to continuously improve the product.

5. Discovery & Commercialisation:

- Participate in customer discovery, solution discussions and product demonstrations.

- Identify opportunities for new products, datasets and solution modules.

- Work with Sales, KAMs and leadership to translate market needs into product opportunities.

- Support GTM teams with product narratives, use cases and demonstrations.

What We're Looking For:

- Experience building or managing data-intensive products, analytics solutions, SaaS products or intelligence platforms.

- Strong analytical thinking and structured problem-solving ability.

- Comfort working with large, multi-dimensional datasets.

- Good understanding of analytics/BI, statistical reasoning and AI/ML concepts.

- Ability to understand data deeply and challenge assumptions around metrics, transformations, coverage and analytical logic.

- Strong product sense with the ability to balance customer needs, technical feasibility, data complexity and commercial impact.

- Experience working cross-functionally with Engineering, Data Science, Analytics, Sales and Business teams.

- Ability to independently own the journey from problem definition - solution design - execution - adoption.

What Will Set You Apart:

- Experience in enterprise analytics, fintech, SaaS, geospatial intelligence, market intelligence, credit or other data-heavy domains.

- Experience building products involving market intelligence, segmentation, scoring, forecasting, benchmarking or opportunity identification.

- Strong SQL skills and ability to independently explore datasets.

- Strong understanding of how to turn fragmented or noisy data into meaningful signals.

- Ability to move fluidly between customer problem, analytical framework, data requirement and product experience.

What This Role Is Not:

- Not a feature factory or backlog-management role.

- Not project management alone.

- Not visualization-only analytics.

- Not pure Data Science or Data Engineering.

- Not focused solely on building the underlying data platform.

- Not about turning every customer request into a bespoke solution.

- The core responsibility is to own the solution layer - turning data and intelligence capabilities into scalable products that help businesses make better decisions.