VP, West Coast Delivery - Data, AI & Enterprise Transformation

EPAM Systems Inc; San Francisco (CA); On-site; USD 300,000 - 400,000; Full time

Job summary

EPAM Systems Inc. seeks a visionary Head of San Francisco Bay Area/Data, AI & Enterprise Transformation to build EPAM's premier delivery practice on the West Coast.

You will own delivery across flagship SF/Valley accounts, lead the Bay Area Data & AI capability, and partner with CTO/CPTO/CDO-level clients to drive enterprise transformations. You will shape the delivery model, recruit top talent, and land multi-million data programs while interfacing with frontier AI ecosystems to

Qualifications

• Has led large enterprise programs with multi-stakeholder environments and cloud-native, AI-native delivery.
• Deep experience in data platforms and AI-enabled transformation at scale.
• Credibility to engage CTO/CPTO/CDO level clients in enterprise settings.

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

Skills

Enterprise delivery

Data platform

AI-native delivery

Bay Area market gravitas

Executive stakeholder management

Tools

Databricks

Snowflake

Spark

Job 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

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.Engineer the Future with a Career at EPAM (https://www.youtube.com/embed/NU_mnNITn2o?si=IiCxyQ4sr1YJWxDG)

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $300,000 - $400,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)

Applicants and Employees in Unincorporated Los Angeles County: The Los Angeles Fair Chance Ordinance (LAFCO) requires employers conducting criminal history checks for applicants or employees to state the job duties for which certain criminal history may have a direct, adverse and negative relationship. For this position, these job duties include: engaging with clients, employees, and other third-parties (including the general public); accessing company and client information, IT systems and infrastructure, assets, property, and products, including proprietary coding, programs, applications, and data; and appropriately handling such information, including company and client confidential and personal information. For this reason, certain criminal history may result in the withdrawal of a condition offer of employment. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the LAFCO and the California Fair Chance Act.

EPAM welcomes all applicants and will consider qualified candidates with criminal history such as arrest and conviction records in a manner consistent applicable law, including the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring.

EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.