Senior Product Transformation & Agentic AI Director
On-siteOhio, United States
Job Summary
Lead agentic AI adoption across product teams by training, coaching, and guiding day-to-day use of AI-enabled workflows in discovery, planning, delivery, and continuous improvement. Operate as an embedded transformation leader helping teams redesign how work gets done rather than improving legacy rituals. Identify high-value opportunities to remove friction and accelerate learning while maintaining strong governance and risk awareness. Work hands-on with teams to prototype, test, and implement new practices, prompts, automations, and operating model patterns. Translate technical AI concepts into practical behaviors, playbooks, and learning paths for product, engineering, design, and business partners. Guide leaders through people, process, and operating model shifts required to scale AI adoption durably. Establish feedback loops measuring adoption, effectiveness, and transformation outcomes with emphasis on capability uplift and business impact. Partner with senior leadership to shape the future-state product operating model.
Required Qualifications
- 8+ years of experience or equivalent expertise across product delivery, transformation, technology, or digital operating model change in complex environments.
- Demonstrated success leading cross-functional teams through meaningful changes in ways of working, with the ability to influence leaders, practitioners, and stakeholders at multiple levels.
- Strong technical acumen, including the ability to work credibly with engineers, understand modern software delivery practices, and apply AI tools in practical team settings.
- Hands-on experience using generative AI, automation, copilots, agentic workflows, or related tooling to improve team outcomes, workflow quality, or operational efficiency.
- Deep understanding of the product development lifecycle, including strategy, discovery, planning, design, implementation, testing, deployment, operations, and continuous improvement.
- Ability to teach, coach, and facilitate in a way that builds capability through direct partnership and observable practice, not only through presentation or theory.
- Strong communication, storytelling, and change leadership skills, with the ability to make emerging concepts concrete and actionable for diverse audiences.
- Experience defining measurable transformation outcomes and using qualitative and quantitative signals to refine adoption strategies over time.
Desired Qualifications
- Background in software engineering, product engineering, architecture, developer enablement, or another technical discipline that supports hands-on credibility with delivery teams.
- Experience designing or scaling AI enablement programs, transformation playbooks, communities of practice, or enterprise adoption models.
- Working knowledge of prompt design, workflow orchestration, human-in-the-loop controls, evaluation approaches, and responsible AI guardrails.
- Experience operating in regulated or large-scale enterprise environments where technology change must align with risk, control, compliance, and operational readiness requirements.
- Strong facilitation and workshop design skills across strategy sessions, operating model design, learning labs, and team-based transformation work.
- Certifications or formal training in AI, machine learning, cloud AI platforms, or automation technologies.
- Product management, design thinking, change management, or digital transformation certifications.
- Agile or lean certifications are welcome when paired with demonstrated experience evolving beyond traditional framework-centered coaching.
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