You will serve as a thought leader inside the product quad, representing continuous improvement, transformation strategy, and the operational impacts of AI across the product lifecycle. You will train, guide, and lead teams through the adoption of agentic ways of working, while also rolling up your sleeves to work side by side with product managers, designers, engineers, and leaders. Success in this role requires technical acumen, strong product instincts, and the credibility to show by doing. Your leadership will help teams move from awareness to repeatable practice by identifying high-value AI use cases, designing fit-for-purpose workflows, enabling experimentation within guardrails, and scaling proven patterns across the organization. You will partner across business, product, design, engineering, data, risk, and operations to ensure AI-driven transformation is practical, measurable, and sustainable.

As Senior Product Transformation & Agentic AI Lead, you will 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. You will operate as an embedded transformation leader within the product quad, helping teams redesign how work gets done rather than simply improving legacy agile rituals. Your responsibilities include identifying high-value opportunities for agentic AI, working hands-on with teams to prototype and implement new practices, and translating technical AI concepts into practical behaviors and learning paths. You will guide leaders and teams through the people, process, and operating model shifts required to scale AI adoption in a durable and responsible way. You will establish feedback loops that measure adoption, effectiveness, and transformation outcomes, with emphasis on capability uplift, workflow improvement, and business impact.

Job Responsibilities

• 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 within the product quad, helping teams redesign how work gets done.
• Identify high-value opportunities for agentic AI to remove friction, accelerate learning, improve decision quality, and increase team throughput 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 that demonstrate value through real execution.
• Translate technical AI concepts into practical behaviors, playbooks, and learning paths for product, engineering, design, and business partners.
• Guide leaders and teams through the people, process, and operating model shifts required to scale AI adoption in a durable and responsible way.
• Establish feedback loops that measure adoption, effectiveness, and transformation outcomes, with emphasis on capability uplift, workflow improvement, and business impact.
• Partner with senior leadership to shape the future-state product operating model and influence how agentic AI capabilities are embedded across the domain.
• Promote a culture of experimentation, learning, and continuous improvement by helping teams build confidence, judgment, and discipline in AI-assisted work.

Required Qualifications, Capabilities, and Skills

• 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.

Preferred Qualifications, Capabilities, and Skills

• 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.