Head of Northern California, Delivery
ResponsibilitiesLead complex, multi-disciplinary programs across industries —spanning traditional delivery and advanced AI/ML, GenAI, and automation — while ensuring the client’s delivery standards and client expectations are metDefine and manage product, AI, and delivery roadmaps in partnership with executive stakeholders, solution architects, and clients’ AI Centers of ExcellenceProvide strong technical and delivery leadership across architecture, engineering, QA, Agile, and AI capabilities to drive scalable, secure, and compliant enterprise solutionsOwn critical technology and architecture decisions, including the integration of AI to improve scalability, efficiency, and user experienceTransparently track and communicate progress, risks, and mitigation strategies to executive stakeholders throughout the program lifecycleBuild, lead, and mentor high-performing cross-functional teams while promoting AI-first methodologies in design, estimation, testing, and operationsIdentify and implement standardization, process optimization, and best practices across delivery and AI-driven initiatives to improve productivity and qualitySupport regional delivery strategy, pre-sales, and business development by contributing to solutioning and executive-level client interactionsRequirements15+ years of experience in software delivery, including 10+ years in senior roles such as a hands-on Delivery Lead, Solution/Enterprise Architect/Software Engineer, or Technical Lead within professional servicesSenior-level leadership overseeing large-scale, complex engineering initiatives for enterprise clients, from pre-sales through executionStrong technical foundation across software delivery management, solution architecture, SDLC, and Agile/Kanban/Waterfall methodologiesProven ability to lead multidisciplinary teams and align diverse stakeholders to achieve high-quality delivery outcomesExceptional executive client management, communication, and stakeholder engagement skillsAdvancing expertise in AI/ML, LLMs, GenAI, vector databases, MLOps, and AI governance, with experience integrating AI into major digital transformation programsStrategic vision to guide executives on AI adoption, architecture, investment, and enterprise operating models, leveraging AI tools to enhance decision-making and productivityBachelor’s degree in Computer Science or related technical field (Master’s preferred) or equivalent experience, supported by relevant advanced certificationsWe offer/BenefitsMedical, Dental and Vision Insurance (Subsidized)Health Savings AccountFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)Short-Term and Long-Term Disability (Company Provided)Life and AD&D Insurance (Company Provided)Employee Assistance ProgramUnlimited access to LinkedIn learning solutionsMatched 401(k) Retirement Savings PlanPaid Time OffLegal Plan and Identity Theft ProtectionAccident InsuranceEmployee DiscountsPet InsuranceEmployee Stock Purchase Program