Head of Data Intelligence (Head of Data and Insights) to $4500

Role Overview

The Head of Data Intelligence is the executive owner of demand forecasting and market intelligence for the 4A business. This role transforms complex historical and real-time data into clear, predictive guidance that drives growth, operational readiness, and demand capture.

By building scalable forecasting systems and partnering closely with Demand Generation and Operations, this leader shifts the organization from reactive reporting to proactive decision-making—anticipating demand shifts, identifying market opportunities, and ensuring supply readiness ahead of execution.

Success is measured by improved decision speed and accuracy across market prioritization, programmatic SEO planning, launch timing, supply–demand balancing, and portfolio-level resource allocation.
 

Core Mandate:
Own demand intelligence end-to-end so the business shows up in the right markets, with the right content and supply, at exactly the right time.

Key Responsibilities

1. Demand Forecasting Strategy & Signal Ownership

• Own the company’s demand forecasting approach across services, regions, and verticals.
• Analyze historical demand to identify seasonality, geographic spikes, anomalies, and structural trends.
• Define forecasting methodologies, confidence levels, assumptions, refresh cadence, and data-quality standards.
• Identify and operationalize early demand indicators (e.g., lifecycle trends, warranty timing, weather, behavioral signals).
• Build monitoring frameworks and alerts that surface demand shifts before impact.

2. Geo & Service Intelligence / Opportunity Mapping

• Develop and evolve geo- and service-level heatmaps to visualize demand intensity, whitespace, and growth opportunity.
• Maintain consistent definitions for market sizing, demand indices, and prioritization tiers.
• Partner with Demand Generation to drive market entry, expansion, and deprioritization decisions.

3. SEO Intelligence & Programmatic Growth Enablement

• Partner with SEO, Growth, and Content teams to inform programmatic SEO strategy and prioritization.
• Analyze and optimize L1/L2/L3 page strategies for performance, conversion, and revenue impact.
• Help define a demand-driven publishing and launch calendar based on predicted demand—not static schedules.
• Align content roadmaps with seasonal peaks and highest-opportunity markets.

4. Supply–Demand Balancing & Operational Readiness

• Translate demand forecasts into operational actions: coverage planning, staffing/vendor needs, capacity allocation, and geographic focus.
• Partner with Operations to balance long-term forecasts with short-term signals for rapid execution and course correction.
• Reduce under- and over-supply in priority markets through forward-looking planning.

5. Scalable Insight Systems, Automation & Governance

• Build scalable, repeatable systems: automated dashboards, standardized reporting, and self-serve analytics.
• Define metric logic, data quality checks, and governance standards to ensure consistency and trust.
• Reduce manual analysis and metric disputes through automation and clear ownership.

6. Executive Communication & Decision Support

• Translate data into executive-ready narratives, trade-offs, and recommendations.
• Establish a consistent insight cadence aligned with weekly, monthly, and quarterly operating rhythms.
• Present forecasts and market intelligence to leadership to drive prioritization and investment decisions.

7. Cross-Functional Leadership & Alignment

• Partner with Demand Generation and Operations to integrate demand intelligence into planning, capacity, and SLA decisions.
• Collaborate with BUMs, Sales, Client Success, and Licensed Brands to align launches and messaging with demand signals.
• Drive adoption of forecasting frameworks and self-serve insights across teams.

Metrics & KPIs

Business Impact

• Forecast adoption: % of roadmap, market, and content decisions informed by demand intelligence
• Demand capture lift: lead volume and quality improvements driven by timing and targeting
• Operational readiness: reduction in under/over-supply events
• MPS alignment: demand intelligence contribution to revenue, booked leads, and ROMI forecasting

Forecasting & Intelligence Health

• Forecast accuracy and calibration by geo, service, and horizon
• Early-indicator performance and lead time gained on demand shifts
• Insight cycle time: signal → recommendation → action
• Data quality consistency and reduction in metric disputes

Scalability & Adoption

• Automation coverage vs. manual analysis
• Self-serve dashboard adoption across teams
• Forecast refresh cadence reliability
• Stakeholder confidence and satisfaction

Team Structure & Interfaces

• Leads the Data Intelligence function, developing analysts and setting standards for forecasting and insights.
• Accountable for demand forecast accuracy, data quality, and insight timeliness.
• Operates within the 4A governance cadence (weekly business reviews, monthly and quarterly portfolio planning).
• Ensures all insights are decision-ready and action-oriented.
   

Qualifications

• 5+ years in data analytics, data science, or business intelligence (marketplaces, services, or demand-driven businesses preferred)
• Strong experience analyzing large historical datasets and translating patterns into business action
• Comfortable operating with imperfect data while delivering reliable, directional guidance
• Proven ability to influence strategy and drive cross-functional adoption
• Advanced skills in SQL, Python or R, BI tools (Power BI, Tableau, Looker), GA4, Search Console, and CRM systems
• Strong understanding of forecasting methodologies, ROMI, capacity economics, and MPS-style input/output frameworks
• Excellent executive communication and stakeholder management skills
• Builder mindset: scales 0→1 experiments into 1→10 standardized systems