Director, AI Strategy & Enablement

Trinchero Family Estates•Napa, CA

1d•$170,000 - $220,000•Onsite

About The Position

The Director, AI Strategy & Enablement leads Trinchero Family Estates' enterprise AI strategy, portfolio, governance, adoption, and value realization. This role partners across the business to identify high-value opportunities, redesign workflows, guide responsible AI use, build internal capability, and move AI from experimentation to measurable business impact.

Requirements

Bachelor’s degree in Business, Information Technology, Data, Engineering, Computer Science, or a related field; Masters degree preferred. Equivalent experience may be considered.
15+ years of progressive experience in business transformation, digital transformation, product management, process automation, consulting, or related disciplines.
Demonstrated experience leading cross-functional transformation initiatives from strategy through adoption, change management, measurement, and continuous improvement.
Strong understanding of generative AI, copilots, intelligent agents, automation, data platforms, integration concepts, governance, security, and responsible-use considerations.
Proven ability to develop operating models, governance frameworks, portfolio processes, value cases, and executive-level recommendations.
Excellent written, verbal, facilitation, and executive communication skills.
Strong analytical, organizational, prioritization, and problem-solving skills with a practical orientation toward business outcomes.
Experience managing vendors, consultants, solution evaluations, pilots, implementation plans, and knowledge-transfer expectations.

Nice To Haves

Experience in consumer packaged goods, food and beverage, manufacturing, distribution, retail, or agriculture preferred.
Familiarity with Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI, Microsoft Fabric, enterprise data ecosystems, or similar platforms preferred.

Responsibilities

Define and maintain TFE’s enterprise AI strategy, operating model, roadmap, governance rhythm, and portfolio priorities.
Create and manage a standardized intake, evaluation, prioritization, funding recommendation, and scale/stop decision process for AI and automation opportunities.
Maintain a visible AI portfolio with business owners, executive sponsors, expected outcomes, status, risks, dependencies, and value measures.
Prepare regular AI portfolio updates, decision recommendations, and value reporting for the AI Executive Steering Committee.
Partner with the business to identify AI enabled workflow, decision, and process improvement opportunities.
Facilitate discovery sessions, process redesign discussions, and use-case workshops that determine whether AI, automation, product, data, or process change is the right answer.
Help business leaders define outcomes, adoption plans, ownership, baselines, and success measures before initiatives move forward.
Drive adoption through practical enablement, demonstrations, communications, change management, and reinforcement with business leaders.
Partner with IT, Security, Legal, HR, Compliance, and Data & Analytics to establish responsible-use standards, review checkpoints, and solution governance.
Ensure AI initiatives appropriately address data protection, privacy, permissions, human review, transparency, compliance, and operational risk.
Create reusable templates, playbooks, and decision frameworks for AI opportunity assessment, solution review, vendor evaluation, adoption, and value measurement.
Develop function-specific AI learning and adoption plans for business users, leaders, champions, and technical teams.
Launch and support an AI Champion Network that surfaces use cases, supports pilots, shares lessons learned, and reinforces approved practices.
Lead or coordinate external consultants, vendors, and technical partners as needed, with clear scopes of work, business ownership, and knowledge-transfer expectations.
Accept new or modified duties and perform them in a satisfactory and timely manner.