Senior Data & AI Programs Leader - Onsite in San Jose

Zensar Technologies; San Jose (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Zensar is seeking a seasoned Senior Program Manager to lead complex Data & AI programs from planning through delivery at our San Jose, CA site (2 days/week onsite). The role calls for strong program governance, cross-functional leadership, and the ability to communicate with senior leadership.

Ideal candidates have 10+ years in program management, hands-on data platforms and ML/AI lifecycles, and experience coordinating with business, engineering and product teams.

Qualifications

• 10+ years of program/project management experience, with a significant portion in Data & AI initiatives.
• Hands-on understanding of data platforms, analytics, ML/AI lifecycle, and cloud data ecosystems.
• Proven record of delivering large, cross-functional programs.
• Excellent stakeholder management, executive communication, and interpersonal skills.

Responsibilities

• Own and manage multi-workstream Data & AI programs from planning through delivery.
• Partner with business, engineering and product teams to align priorities and outcomes.
• Manage stakeholders at all levels, including director and VP/executive leadership.
• Prepare and present clear program updates, status reports, and executive-level communication.
• Drive governance, escalation management, and cross-functional coordination.
• Track KPIs and ensure delivery of business value from data and AI solutions.

Skills

Data & AI programs

Stakeholder management

Executive communication

Jira usage

Education

College/University degree or higher

Tools

Jira

MS Project

Confluence

Job description

Zensar is seeking a seasoned Senior Program Manager to lead complex Data & AI programs from planning through delivery at our San Jose, CA site (2 days/week onsite). The role calls for strong program governance, cross-functional leadership, and the ability to communicate with senior leadership.

Ideal candidates have 10+ years in program management, hands-on data platforms and ML/AI lifecycles, and experience coordinating with business, engineering and product teams.