VP, West Coast Delivery, Data, AI & Enterprise Transformation
We are seeking a VP of Delivery who is native to the Bay Area technology ecosystem — deeply fluent in enterprise-scale data platforms, AI-native engineering, and frontier AI adoption — and ready to build EPAM's most technically ambitious delivery practice on the West Coast. This leader owns delivery excellence across flagship enterprise accounts in the San Francisco–Silicon Valley corridor, leads the buildout of EPAM's Data & AI delivery capability in the Bay Area (a deliberate strategic priority), and serves as EPAM's most senior technical delivery authority with CTO, CPTO, and CDO-level clients who expect a peer, not a vendor.
Req.#860823922
Responsibilities
- Own the Bay Area enterprise portfolio. Lead delivery across EPAM's flagship accounts in the SF/Silicon Valley corridor. Serve as the most senior delivery voice in client rooms - from data architecture design and AI program scoping through production handoff and account expansion
- Scale and connect to Data & AI practice. Establish and grow EPAM's Data Platform and AI/ML delivery capability in the Bay Area
- Define the delivery model, hire the senior talent, and land the $10M+ data transformation programs
- Front-face transformation. Drive change at CTO, CPTO, and CDO level — representing delivery architecture, data platform strategy, AI adoption roadmaps, and enterprise transformation business cases. Be the person clients trust in the room when the program is under pressure
- Leverage and enable the frontier AI ecosystem. Translate frontier AI capabilities — from foundation model partners, lab-adjacent ISVs, and hyperscaler AI platforms — into enterprise-grade delivery programs. Build EPAM's reputation as the integrator that can take frontier AI from prototype to production at enterprise scale
- Build the talent. Develop, and retain AI-native and data/cloud-native delivery professionals in the Bay Area. Define what AI-native, cloud/data-native delivery means at EPAM West Coast and hold the bar
- FDEs/Forward Agentic Engineers leader and business enabler
Requirements
- Enterprise delivery track record. Has led large-scale programs ($15M–$50M+ TCV) with complex client organizations — multi-stakeholder, multi-geography, multi-year. Fully cloud-native, AI-native thinking across the delivery lifecycle. Can point to outcomes: delivery velocity, data quality, AI adoption rates
- Data platform depth. Has run data engineering, data platform, or AI/ML engineering delivery at enterprise scale. Fluent in modern data stacks: Databricks, Snowflake, Spark or equivalent. Understands DataOps, MLOps, and the gap between a working model and a production data product
- AI-native delivery fluency. Structural AI integration in delivery — autonomous testing, LLM-assisted development, agentic QA, AI observability — not tool familiarity. Can design and defend the AI-native delivery model to a CTO who has heard every pitch
- Bay Area market gravitas. Active network at Fortune 500 tech, fintech, biotech/life sciences, or enterprise SaaS in the Bay Area. Carries the credibility and presence to run a room at CPTO or CDO level. Clients trust this person with difficult conversations
- Frontier AI fluency. Understands the frontier AI landscape — capabilities, limitations, enterprise applicability, and the gap between a lab demo and a production system. Ideally has relationships at AI labs, AI teams, or frontier-model ISVs
- 15+ years in software or data delivery leadership at a technology company, consultancy, or systems integrator — with at least 3 years in a Sr. Director/VP or equivalent delivery leadership role on programs of $15–50M+ scope. Must have managed distributed offshore/nearshore delivery teams
