Zoop.one - Product Manager - Intelligence & Data Solutions

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.