Job description

The Market Intelligence Lead (Market Intelligence Expert) empowers the organization with accurate, timely, and actionable insights on markets, clients, competitors, and emerging trends to enable proactive opportunity creation and support commercial decision-making. The role converts intelligence outputs into sales-qualified leads (SQLs) and measurable revenue outcomes through disciplined market analysis, stakeholder alignment, and clear strategic recommendations. Responsibilities include gathering and consolidating structured and unstructured market, competitor, and customer data from internal sources such as customer relationship management (CRM) systems, win/loss analysis, and field intelligence, as well as external sources including news, regulatory filings, social channels, and syndicated research to build a centralized intelligence repository. The role monitors and synthesizes market evolution, technology shifts, and industry trends affecting product strategy and buyer behavior, delivering concise market evolution summaries and intelligence reports to stakeholders. The position produces benchmarking analysis comparing competitors’ offerings, pricing strategies, commercial practices, and operational metrics to support negotiation strategies and product positioning. It identifies recurring signals such as competitor mentions, sentiment shifts, commitments, and risk indicators and converts them into event-driven alerts while tracking timestamps, confidence levels, and provenance. The role integrates market signals and interactional traces into forecasting models and performs scenario analysis to inform resource planning and go-to-market timing. Additional responsibilities include conducting gap analysis and white-space analysis to identify capability gaps and under-served market opportunities across product, commercial, and partner ecosystems and translating findings into prioritized strategic recommendations. The role maintains competitor positioning maps analyzing capability fit, vendor positioning, strengths, and weaknesses while developing battle cards and visualization assets for sales, product, and strategy teams. It develops and computes opportunity scoring models assessing confidence bands, intent signals, engagement levels, deal health, attractiveness, feasibility, strategic fit, time-to-win, and profitability. The position evaluates commercial, legal, and operational risks associated with vendor engagements and recommends mitigation strategies to support negotiation and renewal planning. The role disseminates intelligence outputs through executive summaries, dashboards, newsletters, playbooks, battle cards, appendices, and reporting assets integrated within CRM systems, sales enablement tools, and collaboration platforms. Governance responsibilities include maintaining evidence logs, insight lineage, confidence scoring, and consent tracking for automated insights while coordinating with IT and security teams to enforce governance controls for sensitive intelligence data. The role also produces structured client intelligence profiles covering priorities, initiatives, procurement signals, decision stakeholders, and expected demand, while maintaining competitor intelligence profiles detailing strategies, offerings, partnerships, differentiators, vulnerabilities, and expected strategic moves. The position supports bid/no-bid decisions, value proposition development, and differentiation strategies, and performs risk assessment across market, regulatory, competitive, and client domains with mitigation recommendations. The role collaborates with cross-functional stakeholders including Sales teams, Operations teams, and other subsidiaries to validate intelligence findings and translate insights into commercial actions such as sales playbooks, talk tracks, battle cards, and account-level opportunity recommendations. Deliverables include opportunity identification pipelines mapped to accounts and offerings, generation of high-quality sales-qualified leads (SQLs), client demand forecasting with scenarios and triggers, updated competitive positioning frameworks, quantified revenue impact estimates, and early-warning dashboards identifying emerging risks and commercial implications. Performance is measured through KPIs including SQL generation volume, SQL-to-pipeline conversion rates, influenced pipeline value, forecast accuracy by client or segment, intelligence profile coverage, stakeholder adoption of intelligence outputs, and the number of actionable early-warning alerts leading to commercial actions.