Technical Project Lead

Technical Delivery LeadBrooksourceFortune 500 Oil & Gas ClientHouston, TXOverviewWe are seeking a Delivery Lead to drive end-to-end execution of a complex, in-flight AI-powered sales acceleration platform. This role sits at the center of a cross-functional initiative spanning AI engineering, data engineering (Databricks), cloud infrastructure (Azure), Salesforce integration, and UI development.You will partner closely with AI Engineers, a Scrum Master, and distributed technical teams to orchestrate delivery across multiple workstreams and push the solution into secure, stable production.This is a hands-on delivery leadership role requiring strong technical fluency, integration expertise, and the ability to drive progress across teams without direct authority.Key ResponsibilitiesEnd-to-End Delivery OwnershipOwn the integrated delivery plan across AI, data, cloud, Salesforce, and UI workstreamsDrive execution from in-flight build → production → steady stateAct as the single point of accountability across internal teams and external vendors/SIsProactively manage dependencies, remove blockers, and prevent fragmented ownershipCross-Functional CoordinationPartner with:AI EngineersData Engineering (Databricks)Cloud/Platform teams (Azure)Salesforce/CRM stakeholdersUI/Frontend teamsWork alongside a Scrum Master while maintaining ownership of delivery outcomesSystems Integration LeadershipLead end-to-end integration strategy and execution across systemsEnsure clean, scalable integration between:AI modelsData platformsSalesforce (system of record)UI layerDefine and enforce:API patterns (REST/webhooks)Data flow boundaries (read/write controls)Auditability and data integrity standardsTechnical Governance & QualityValidate architecture across AI, data, and cloud environmentsEnsure adherence to Azure/cloud best practicesPrevent short-term fixes from becoming long-term technical debtDefine and enforce quality thresholds, including:AI output accuracy and reliabilityData readiness and qualitySystem performance and scalabilityAI Delivery OversightMonitor and validate AI system behavior over time (e.g., prompt changes, data evolution)Ensure safe and effective use of LLM patterns (RAG, agents, routing)Partner with engineering to mitigate risk in AI-driven outputsBlock releases if AI performance introduces business or compliance riskEnterprise Readiness & Go-LiveLead delivery through enterprise gates (security, legal, compliance)Ensure:Proper access models and data classificationAudit and control mechanismsProvide final Go/No-Go recommendation for production releaseOperationalizationDefine production support model and runbooks for post-launch operationsCoordinate transition to IT/support teamsEnsure the solution is stable, supportable, and scalable in productionRequired Qualifications10+ years delivering complex enterprise software into production (AI/data-intensive preferred)Strong background as a Technical Delivery Lead or Tech LeadProven experience driving delivery across cloud-based, integrated systemsHands-on experience with:Azure / cloud platformsSystem integration (APIs, REST, webhooks)CRM platforms (Salesforce preferred)Experience integrating systems with custom development componentsProven ability to navigate security, legal, and compliance approvalsDemonstrated ownership of Go/No-Go production decisionsPreferred QualificationsBackground in AI/ML or data engineering (Databricks experience a plus)Familiarity with LLM architectures (RAG, multi-agent systems, prompt orchestration)Previous software development or cloud engineering backgroundExperience in enterprise sales or process-heavy environmentsExperience working with distributed teams and external vendors/SIsLeadership & Soft SkillsExcellent communication skills with ability to engage technical teams and senior leadershipProactive, direct, and execution-oriented mindsetStrong ability to drive alignment and decisions without direct authorityComfortable operating in fast-moving, ambiguous environmentsHigh ownership mentality with a focus on delivery outcomes over processEight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.