Senior Director: AI & Data Program Strategy

Salesforce; San Francisco (CA); Sur place; USD 350 000 - 600 000; Plein temps

Avantages offerts par ce poste

Medical Care

Life Insurance

Retirement Savings

Employee Assistance Programs

13 paid holidays

Résumé du poste

Salesforce is seeking a Senior Director of Technology Program Management to act as the execution backbone for the Chief Data Officer’s organization. This leader will own portfolio governance across Data/AI/ML Platforms, Analytics, Integration, and platform transformation initiatives, operating with executive altitude and deep technical fluency.

The role requires balancing architecture, data flows, dependencies, and delivery risk, while driving measurable outcomes and accountability across

Qualifications

• Bachelor’s degree in a technical discipline or related field.
• Advanced degree is a plus.

Responsabilités

• Own end-to-end portfolio operating model for the Chief Data & Intelligence Office.
• Lead large-scale Data & AI programs spanning data platforms, analytics, governance, and cloud infra.
• Translate roadmaps into executable, integrated plans with cross-functional partners.
• Establish accountability, decision rights, and measurable outcomes across teams.
• Lead executive reviews and drive delivery predictability and value realization.

Connaissances

Portfolio governance

Executive presence

Technical program management

Data platforms

AI/ML

Architecture awareness

Dependency management

Executive collaboration

Formation

Bachelor’s degree in Computer Science/Engineering/Information Systems

Advanced degree (plus)

Outils

Snowflake

Databricks

APIs

Description du poste

Salesforce is seeking a Senior Director of Technology Program Management to act as the execution backbone for the Chief Data Officer’s organization. This leader will own portfolio governance across Data/AI/ML Platforms, Analytics, Integration, and platform transformation initiatives, operating with executive altitude and deep technical fluency.

The role requires balancing architecture, data flows, dependencies, and delivery risk, while driving measurable outcomes and accountability across