Victor Osakwe

Architected the commercial intelligence backbone for a €50M+ Health-Tech leader, translating complex sales data into actionable GTM strategy. Engineered the RevOps infrastructure that empowered the commercial team to optimize territory coverage, accelerate pipeline velocity, and leverage predictive insights for surgical targeting of healthcare providers.

Accomplishments: Improved forecast accuracy from 70% to 95% by owning end-to-end forecasting and delivering executive-level pipeline reviews. Led CRM consolidation and automation, deploying 15+ workflows that saved 60+ hours monthly and improved data quality by40%. Built and mentored a team of 3 junior analysts, increasing CRM adoption from 60% to 95% through training and change management. Developed predictive analytics models in SQL and Python, identifying €2M+ in at-risk revenue and enabling proactive interventions. Managed a €150K+ CRM implementation budget, delivering the project on time and with 90%+ user adoption.

Orchestrated the revenue data ecosystem for a financial risk intelligence platform, integrating siloed systems into a unified source oftruth. Automated the lead-to-revenue lifecycle to provide real-time visibility into sales performance and risk exposure, enabling the sales team to capitalize on market volatility with precision and speed.

Accomplishments: Drove 20% YoY revenue growth (€2M+ ARR) through optimized lead routing, scoring, and sales process improvements. Built the company's first unified revenue dashboard, improving marketing ROI visibility by 35% and enabling data-driven budget allocation. Reduced data errors by 50% and improved field completion from 65% to 92% via CRM governance and automation. Automated reporting processes, saving 80+ hours monthly and improving data accuracy for strategic decision-making.

Served as the central analytics nexus for the hotel group's commercial operations, unifying data from 10+ booking platforms and direct channels. Architected the Salesforce-based customer intelligence system that transformed fragmented guest data into cohesive pricing, retention, and marketing strategies, directly optimizing occupancy and revenue per available room (RevPAR).

Accomplishments: Pioneered the company's first centralized data warehouse, integrating 10+ disparate booking platforms (e.g., Booking.com, Expedia) and direct web bookings, eliminating 20+ hours of manual data consolidation, and creating a single source oftruth. Increased customer retention by 10% (€500K+ ARR impact) by developing a churn prediction model using cohort analysis and behavioral segmentation, enabling targeted win-back campaigns. Boosted direct booking revenue by 15% by analyzing channel performance and building a Salesforce powered campaign that incentivized repeat customers to book directly, improving customer lifetime value. Developed and automated a dynamic pricing dashboard in Tableau, incorporating competitor and demand data, which empowered revenue managers to adjust rates proactively, increasing RevPAR by 8%. Reduced manual reporting time by 90% by building an automated KPI and reporting suite, freeing up 20+ hours per month forthe marketing and sales teams to focus on strategic initiatives.