Strategic sourcing has evolved over four decades from a tactical procurement activity focused on price negotiation into a strategic function that shapes cost structure, supply reliability, and organizational resilience. Spend analytics has emerged alongside it as the analytical spine through which sourcing decisions become disciplined rather than episodic, and through which the vast transaction records generated by enterprise purchasing are translated into actionable intelligence about categories, suppliers, and commercial opportunities. The compounding shocks of the early 2020s—pandemic-driven supply disruption, geopolitical realignment affecting global trade routes, commodity price volatility, and the accelerating demands of the energy transition—have forced a reckoning with the assumptions of low-cost global sourcing that shaped procurement practice for much of the preceding generation. This paper advances a conceptual framework that treats strategic sourcing and spend analytics as co-equal pillars of cost reduction and supply shock mitigation, arguing that the two are mutually constitutive: sourcing strategy without analytical discipline fails to capture the value that category-level intelligence makes available, and analytical activity without strategic sourcing intent produces reports that do not translate into commercial outcomes. Drawing on the literatures of strategic sourcing, spend analytics, supplier relationship management, supply chain risk, and organizational resilience, the paper develops a four-capability framework organized around data foundation, category strategy, risk sensing, and governance and execution. The framework is offered as a conceptual integration of existing scholarship and practitioner literature rather than as an empirical validation of any specific sourcing program.