Role PurposeThe Business Operations Manager is responsible for transforming business opportunities into scalable, AI-enabled, and operationally feasible solutions, while safeguarding delivery stability across the organization.This role owns solution design, innovation execution, and PoC governance, ensuring that emerging technologies, AI capabilities, and R&D initiatives directly support revenue growth without disrupting running projects or core operations.Key Responsibilities Solution Architecture & Innovation OwnershipOwn end-to-end solution design for new opportunities, including features, specifications, architecture, and delivery modelsEnsure all solutions align with ITWORX's AI strategy, technical standards, security, and scalability requirementsAct as the final technical authority before commercial commitments are made R&D and AI Engineering LeadershipLead R&D and AI Engineering teams to develop innovative capabilities aligned with business prioritiesTranslate market, customer, and sales insights into practical R&D initiatives and AI acceleratorsEnsure R&D outputs are reusable, productized, and scalable across projects and products PoC & AI Enablement GovernanceOwn and govern the full PoC lifecycle—from ideation to execution and commercializationEnsure PoCs clearly demonstrate value, feasibility, and ROIEnforce capacity planning to prevent PoC and innovation activities from impacting live projects Commercial Enablement & Presales SupportSupport Sales and Presales teams during complex opportunity cycles, workshops, demos, and RFPsProvide accurate technical inputs, estimates, and risk assessmentsEnable confident go/no-go decisions based on technical readiness and delivery capacity Estimation, Costing & Margin ProtectionOwn effort estimation, costing models, and delivery assumptionsPartner with Finance to ensure pricing supports target margins and long-term sustainabilityContinuously improve estimation accuracy through feedback loops from delivery teams Cross-Functional OrchestrationAct as a central coordination point across all departments to align innovation with executionEnsure smooth handover from PoC to delivery (projects or products)Resolve cross-department dependencies, conflicts, and priorities Standardization & Knowledge ReuseBuild reusable solution frameworks, reference architectures, PoC templates, and AI acceleratorsCapture lessons learned and embed them into organizational standardsPromote knowledge sharing and innovation consistency across teams Risk Management & Executive VisibilityIdentify technical, operational, and financial risks early in the opportunity lifecycleProvide transparent reporting to the COO on innovation pipeline, readiness, and impactRecommend strategic investment, pause, or stop decisionsRequirementsMain ObjectivesEnable revenue growth through strong solution design and AI-driven innovationProtect ongoing delivery by isolating R&D and PoC work from live projectsAccelerate time-to-market for new solutions and AI capabilitiesEnsure technical excellence and scalability across all offeringsMaintain margin discipline through accurate estimation and cost controlCreate an innovation engine that continuously feeds products, services, and sales pipelinesKey KPIsInnovation & Commercial ImpactPoC-to-deal conversion rate (%)Revenue influenced by R&D and AI initiativesTime from PoC to production deploymentOperational ProtectionNumber of delivery disruptions caused by R&D / PoC activitiesPoC capacity utilization vs plan (%)Adherence to innovation governance frameworkQuality & ReadinessTechnical rework rate post-contract signatureSolution approval rate by Architecture / EngineeringCompliance with security and AI standardsFinancial PerformanceEstimation accuracy (%)Margin variance between proposed and delivered solutionsCost efficiency of R&D and PoC initiativesOrganizational MaturityReuse rate of AI accelerators and solution templatesKnowledge adoption across teamsExecutive decision accuracy (go/no-go outcomes)