Market Intelligence Lead

Role Purpose

The Market Intelligence Expert empowers the company with accurate, timely, and actionable insights on markets, clients, competitors, and emerging trends—enabling proactive opportunity creation and supporting commercial decision-making. The role’s primary impact is to convert intelligence into sales-qualified leads (SQLs) and measurable revenue outcomes through disciplined analysis, stakeholder alignment, and clear recommendations.

Key Responsibilities

• Gather: Collect and consolidate structured and unstructured market, competitor and customer data from internal (CRM, win/loss, field intelligence) and external (news, filings, social, syndicated research) sources to build a centralized intelligence repository.
• Trend analysis: Monitor and synthesize market evolution, technology shifts and industry trends that affect product strategy and buying behavior; produce concise market-evolution summaries for stakeholders.
• Benchmarking: Produce benchmarking reports comparing competitors’ offerings, pricing, commercial practices and operational metrics to support negotiation and product positioning.
• Signal detection: Convert recurring signals (competitor mentions, sentiment shifts, commitments, risk indicators) into event-driven alerts and track confidence, timestamps and provenance for each signal.
• Forecasting and scenario analysis: Incorporate market signals and interactional traces into forecasting inputs and run scenario analyses to inform resource planning and go-to-market timing.
• Gap and white‑space analysis: Identify capability gaps and white‑space opportunities in product, commercial and partner ecosystems and translate findings into prioritized recommendations.
• Competitor positioning maps: Maintain competitor positioning (capability/fit, vendor position, strengths/weaknesses) and create battle cards and visualization assets for sales, product and strategy teams.
• Opportunity scoring: Define and compute opportunity scores (confidence bands, intent, engagement, deal health) and pair scores with recommended.
• Risk assessment and cost mitigation: Evaluate commercial, legal and operational risks in vendor engagements and produce recommendations to inform negotiation and renewal strategies.
• Dissemination & exploitation: Deliver templated, consumable outputs (executive summaries, dashboards, newsletters, playbooks, battle cards, appendices) and ensure insights are delivered where stakeholders work (CRM, enablement, collaboration platforms).
• Governance & provenance: Log evidence, confidence, lineage and consent for each automated insight/action and work with IT/security to enforce runtime governance for sensitive content.
• Opportunity Discovery & White Space: Conduct gap and white space analysis to identify unmet needs and under-served segments. Create and maintain competitor positioning maps (e.g., capability vs. price, depth vs. breadth, speed vs. scale). Develop opportunity scoring models (attractiveness, feasibility, strategic fit, time-to-win, profitability).

• Competitive & Client Insights:
• • Produce structured client intelligence profiles: priorities, initiatives, procurement signals, decision stakeholders, and likely demand.
  • Maintain competitor profiles: strategy, offerings, partnerships, differentiators, vulnerabilities, and likely next moves.
  • Support bid/no-bid decisions, value propositions, and differentiation strategies.
• Risk Assessment & Insight Quality: Identify and assess market, competitive, regulatory, and client risks; recommend mitigations. Ensure high-quality intelligence through triangulation, source validation, and clear confidence levels.
• Stakeholder Engagement & Enablement: Cross-check and validate insights with internal stakeholders (Sales team, Operations team, other subsidiaries). Convert insights into commercial actions: playbooks, talk tracks, battlecards, and account-level recommendations. Present findings clearly to leadership and commercial forums; drive alignment and next steps.

Key Deliverables / Outcomes

• Opportunity Identification: A validated pipeline of prioritized opportunities mapped to offerings and accounts.
• Sales-Qualified Leads (SQLs): Consistent generation of high-quality, actionable SQLs with evidence-based rationale.
• Client Demand Forecasting: Regular client/segment forecasts with scenarios and clear triggers.
• Competitive Positioning: Updated positioning maps, battlecards, and differentiation recommendations.
• Revenue Impact: Quantified potential revenue, expected conversion likelihood, and tracking of realized outcomes.
• Risk Visibility: Early warning dashboards and risk/mitigation briefs tied to commercial implications.

Key Performance Indicators (KPIs)

• Number of SQLs generated per period and their acceptance rate by Commercial.
• SQL-to-pipeline conversion rate and pipeline value influenced.
• Forecast accuracy (by client/segment) and timeliness of updates.
• Coverage and freshness of competitor/client intelligence profiles.
• Stakeholder satisfaction and adoption of intelligence outputs (usage, feedback, repeat requests).
• Number of actionable early-warning alerts and resulting actions taken.

Required Qualifications

• Bachelor’s degree in Business, Economics, Engineering, Data/Analytics, or related field (Master’s preferred).
• 7+ years in market intelligence, strategy, consulting, business development analytics, or competitive intelligence.
• Demonstrated experience converting insights into commercial actions and lead generation.

Required Skills & Competencies

• Strong analytical capability: market sizing, benchmarking, segmentation, and hypothesis-driven analysis.
• Forecasting and scenario planning; ability to model uncertainty and define triggers.
• Competitive intelligence methods, positioning frameworks, and opportunity scoring.
• Excellent communication: concise executive storytelling, structured insights, and persuasive recommendations.
• Stakeholder management and cross-functional collaboration.

High attention to detail, source validation, and integrity in intelligence practices