Director, AI Strategy & Enablement
Trinchero Family Estates -us
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Job summary
Trinchero Family Estates in Napa, CA seeks a Director, AI Strategy & Enablement to lead the enterprise AI strategy, portfolio, governance, adoption, and value realization across the business. This role partners with senior leaders to identify opportunities, redesign workflows, and drive responsible AI that moves from pilot to measurable impact.
The position requires deep experience in AI strategy, governance, and organizational change, with on-site work in Napa.
Qualifications
- 15+ years leading cross-functional transformation initiatives.
- Strong knowledge of generative AI, copilots, and automation.
- Experience in consumer packaged goods, food & beverage, or manufacturing preferred.
- Proven ability to develop operating models, governance frameworks, and executive-level recommendations.
Responsibilities
- Define and maintain enterprise AI strategy, operating model, roadmap, governance rhythm, and portfolio priorities.
- Partner with business leaders to identify AI-enabled workflow, decision, and process improvements.
- Drive responsible-use standards, data protection, privacy, and risk management.
- Launch AI learning programs and champion networks to drive adoption across teams.
- Coordinate with IT, Security, Legal, HR, Compliance, and Data & Analytics.
Skills
Education
Tools
Job description
Req ID: 7109
Department: Information Technology
Status: Reg F-T Exempt, Exempt
Location: Napa, California (US-CA)
Workplace Location: On-Site
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.
The following reflects Trinchero Family Wine and Spirits definition of essential functions for this job but does not restrict the tasks that may be assigned. Management may assign or reassign duties and responsibilities to this job at any time due to reasonable accommodation or other reasons.
- 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.
- High degree of judgment, discretion, ownership, and follow-through required.
- Ability to influence without direct authority and lead a cross-functional virtual team.
- Responsible for connecting enterprise priorities to practical AI initiatives that produce measurable business outcomes.
- Expected to challenge assumptions, frame business problems clearly, evaluate buy/build/partner options, and recommend scale, revise, or stop decisions.
- Must communicate complex AI, technology, risk, and transformation concepts in clear business language for executive and functional audiences.
- Accountable for building internal capability and reducing long-term dependence on consultants through documentation, reusable assets, training, and ownership transfer.
- Must conduct business professionally, build trust across departments, and maintain a constructive, pragmatic, and responsible approach to AI adoption.
- 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.
- 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.
- Extensive collaboration, computer work, facilitation, documentation, and executive communication.
- Office environment with the ability to work across TFE locations and with distributed teams.
- Frequent interaction with senior leaders, department heads, technical teams, vendors, and consultants.
- Multiple strategic initiatives, pilots, and priorities in progress at any given time.
- Occasional long or irregular hours may be required to meet business, project, or executive timelines.
- Frequent deadline pressure and the need to balance innovation, adoption, governance, and risk.
$170,000.00 - $220,000.00
The starting pay will be based on several factors, including but not limited to experience, training, education, and geographic location. TFE offers a comprehensive benefits package that includes medical, dental, vision, life insurance coverage, disability benefits, PTO, wellness programs and fertility and family building benefits. We also provide a 401(k) plan where TFE may make a discretionary profit-sharing contribution.
Trinchero Family Estates provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Trinchero Family Estates complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Napa
Compliance, Risk Management, Manager, Change Management, Product Manager, Legal, Finance, Management, Operations
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