Senior Data & AI Program Leader | Hybrid, San Jose

Xcede; San Jose (CA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Xcede seeks a seasoned Program Manager to lead complex Data & AI programs from planning through delivery in San Jose. The role blends strong governance with hands-on data initiatives and clear communication to senior leadership.

Hybrid onsite work is required. The ideal candidate has extensive experience managing large, cross-functional programs, partnering with business, engineering and product teams, and driving measurable business value from data and AI solutions.

Qualifications

• 10+ years of program/project management experience in Data & AI initiatives.
• Hands-on experience with data platforms, analytics, ML/AI lifecycle, and cloud data ecosystems.
• Proven track record delivering large cross-functional programs.
• Excellent stakeholder management and executive communication.
• Proficiency with program tools (Jira, MS Project, Confluence, etc.).
• PM/PgMP/Agile certifications (SAFe, CSM) are a plus.
• Must be based in or willing to work onsite in San Jose, CA.

Responsibilities

• Own and manage multi-workstream Data & AI programs.
• 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 program management

Cross-functional leadership

Stakeholder management

Executive communication

KPI tracking & value realization

Governance

Education

PMP / PgMP / Agile certifications (SAFe, CSM)

Tools

Jira

MS Project

Confluence

Job description

Xcede seeks a seasoned Program Manager to lead complex Data & AI programs from planning through delivery in San Jose. The role blends strong governance with hands-on data initiatives and clear communication to senior leadership.

Hybrid onsite work is required. The ideal candidate has extensive experience managing large, cross-functional programs, partnering with business, engineering and product teams, and driving measurable business value from data and AI solutions.