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.
Drive change at CTO, CPTO, and CDO level
- representing delivery architecture, data platform strategy, AI adoption roadmaps, and enterprise transformation business cases.
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.
- with at least 3 years in a Sr.
Must have managed distributed offshore/nearshore delivery teams