- Work model
- Hybrid
- Experience
- 3+ years
- Employment
- Not specified
- Compensation
- Not disclosed
- Technology signal
- 8 tags
Technology context
8Parsed from the vacancy text; ordered by relevance to this role.
Full listing
Role description
We are seeking a Head of San Francisco Bay Area/Data, AI & Enterprise Transformation 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