Remote AI Transformation Director

Berry Virtual

United States

Remote

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Permanent remote work setup

Competitive starting rate paid in USD

Internet Allowance

HMO insurance (PH)

Paid US holidays

Paid Vacation and Sick Leaves

Job summary

Berry Virtual is seeking a strategic AI leader to shape and drive the firm's AI transformation across corporate functions. You will develop a comprehensive roadmap, lead readiness efforts, and translate business needs into scalable AI solutions.

The role requires 10+ years in technology and digital transformation, excellent communication, and governance expertise. This is a permanent remote position with a competitive USD starting rate and benefits.

Qualifications

10+ years of experience in technology, digital transformation, or a related field.
Bachelor's degree in IT, Computer Science, or related field, or equivalent working experience.
Proven track record delivering multi-disciplinary strategy within corporate operations.
Direct experience implementing AI use cases with measurable outcomes.
Familiarity with the full innovation lifecycle, from ideation through scaling.
Deep understanding of the AI/ML landscape with hands-on collaboration experience.
Excellent communication skills for conveying complex concepts to non-technical audiences.

Responsibilities

Shape and execute AI strategy: build a comprehensive roadmap for AI adoption across corporate functions, aligned to business goals
Lead AI readiness efforts — data governance, tool selection, security, and business case development
Identify, prioritize, and implement AI use cases: partner with departments to understand workflows and pain points, then translate business needs into cost-effective AI solutions
Lead AI transformation projects end to end — planning, budgeting, execution, and operationalization — ensuring on-time, on-budget delivery with measurable outcomes
Support client-facing AI enablement: work with business units to understand client-related AI needs
Own AI risk and responsible-use policy: work with the security team to define and implement policies for safe, responsible AI use, managing risk through appropriate tools and frameworks
Build and maintain an external partner/vendor network for AI initiatives; track vendor roadmaps and emerging innovation
Own budgeting and financial management for AI tools, pilots, and projects — track spend, evaluate business cases, measure ROI
Own performance management: define and track KPIs for AI initiative impact, capture lessons learned, and identify optimization opportunities
Lead thought leadership on ethical, sustainable, and compliant AI practice, ensuring solutions meet quality standards and align with organizational values
Stay current on AI/ML trends and emerging technology to keep driving innovation