Sr. Director, AI Transformation

About the role

This role is hybrid and requires 2 days a week on-site in our Shelton, CT office. Remote candidates will not be considered. The Sr. Director, AI Transformation is a senior individual contributor who acts as Timex Group’s enterprise AI catalyst—defining where AI can create the most business value, aligning leadership around priorities, and driving measurable transformation across a global, dispersed workforce. Operating from an independent, enterprise-first perspective, this role translates strategy into execution: shaping the AI opportunity portfolio, establishing governance and the operating model, accelerating adoption, and owning value realization. The ideal candidate combines strategic leadership with a hands-on, execution-oriented mindset, deep familiarity with modern AI tools and platforms, and the ability to influence and co-create with senior stakeholders across a complex, matrixed, global environment—delivering senior enterprise impact through strategy, governance, alignment, and value capture rather than team size. The role also ensures organizational readiness for AI and positions it as a core driver of competitive advantage and productivity improvement across Timex Group.

Responsibilities

• Strategy & Opportunity Prioritization: Execute and drive Timex’s enterprise AI transformation agenda and priorities as defined by leadership, owning roadmaps and value creation across functions and corporate; Identify, size, and prioritize the highest-value AI and automation opportunities against clear value pools; Connect initiatives, stakeholders, and use cases into a single coherent program, flexibly adjusting as priorities evolve; Advise functional leaders on the implications of AI, GenAI, and automation for organizational structures and near- and long-term workforce reshaping.
• Governance & Operating Model: Own the AI governance model for both AI adoption and data access for AI, with clear standards, ways of working, and accountability across functions; Design the operating model that sustains the Champions/Superuser structure and enterprise coordination; Serve as the primary coordination point between business functions and IT, giving IT visibility into AI initiatives and dependencies; Act as an impartial, enterprise-first owner ensuring responsible, ethical, and compliant use of AI across regions.
• Cross-Functional Adoption & Change: Accelerate adoption and capability building across Commercial, Supply Chain, Finance, HR, IT, and regions through training, grassroots engagement, and process integration; Engage senior stakeholders early and often so solutions are co-owned, not pushed; Tailor adoption strategies to regional, functional, and cultural nuances; Connect the dots across the organization to enable and empower the workforce at all levels.
• Value Realization & Measurement: Move the organization from experimentation to measurable value capture; Define, track, and communicate AI success metrics, owning program reporting and monthly leadership updates on progress, risks, and outcomes; Maintain a consolidated list of AI initiatives, each with a clear business owner, objectives, benefits, and success measures; Redesign high-impact processes to fully leverage AI and automation, scaling successful pilots into enterprise solutions.
• Innovation & External Perspective: Bring an external, future-back view of what AI tools can do now and where capabilities are headed; Evaluate emerging technologies and recommend enhancements to Timex’s AI ecosystem; Keep Timex ahead of emerging AI trends and opportunities; Promote best practices for responsible and disciplined AI adoption.

Requirements

• 12+ years of experience leading strategy, transformation, or enterprise programs, including 4–5+ years defining and scaling AI or advanced analytics initiatives at the enterprise level
• Track record of leading enterprise-wide transformation as a senior individual contributor—driving outcomes through influence, alignment, and value capture rather than team size or headcount ownership
• Demonstrated ability to translate strategy into measurable value capture across global, multi-region, matrixed organizations – working as T-shaped leader with broad scope and ability to go deep
• Deep working knowledge of AI tools and platforms (e.g., generative AI, machine learning solutions, automation tools, copilots) and how to apply them to business problems
• Strong command of AI governance, operating-model design, and change/adoption strategy at the enterprise level