Senior Manager, AI & Org Transformation
Listed on 2026-07-21
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IT/Tech
AI Business & Operations, Change Management, AI Engineer (Applied/Software)
About Us
Shark Ninja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another that has allowed Shark Ninja to enter multiple product categories, driving significant growth and market share gains.
Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are sold at key retailers, online and offline, and through distributors around the world.
At Shark Ninja, we're building an AI-native culture. We're not waiting for the future; we're creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what's possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn't been invented yet, you'll fit right in.
Senior Manager, AI & Organizational TransformationRole and Context:
Supporting AI & Org Transformation | Product Development
Shark Ninja is integrating AI across Product Development and Engineering as a structural shift in how teams work, design, and deliver. This is not a pilot program. It is a fundamental change to how work gets done, and it requires a people strategy built specifically for AI-era organizations.
As a newly created role, the Senior Manager, AI & Organizational Transformation will lead that transformation. The Senior Manager, AI & Organizational Transformation is the embedded workforce strategy leader for Product Development & Engineering, focused on translating AI capability into practical implications for roles, workflows, job architecture, and operating models. The work spans AI workforce planning, org design, work redesign, and change enablement.
This is not a Human Resources Business Partner (HRBP) role. The focus is on how AI changes work, teams, and structure, not day-to-day business partner support. The right Senior Manager, AI & Organizational Transformation brings structure to ambiguity, earns credibility with technical leaders, and delivers recommendations that drive decisions.
What You'll Own- AI Workforce Strategy & Transformation Planning – Define the people strategy for AI adoption across Product Development & Engineering, covering workforce implications, role evolution, capability gaps, and adoption sequencing; build and maintain an AI transformation roadmap from a workforce perspective, aligned to Shark Ninja's enterprise AI initiative and commercial priorities; monitor GenAI and agentic AI trends and translate them into actionable workforce strategy, identifying which roles are affected, in what timeframe, and what Shark Ninja should do about it;
develop KPIs and measurement frameworks to track AI adoption, workforce readiness, productivity impact, and organizational effectiveness, and present findings to Product Development (PD) and Human Resources (HR) leadership. - Org Design & Job Architecture – lead org design analysis and role redesign efforts tied to AI adoption across Product Development & Engineering, in partnership with functional leaders; apply task-level decomposition to determine which work remains human-led, is AI-augmented, is automated, or requires human-AI handoffs, and design job architectures accordingly; define emerging role types needed for AI-enabled work such as AI workflow leads, human-AI teaming roles, AI adoption champions, and governance-oriented positions that don't yet exist in Shark Ninja's job architecture;
ensure job architecture, competency frameworks, and career paths reflect AI-era skills and connect to downstream processes. - Workflow & Work Redesign – identify high-priority Product Development & Engineering workflows affected by AI tools and lead redesign efforts in partnership with functional process owners; map current-state workflows, surface automation opportunities and human-AI handoff points, design future-state processes that are implementable; build a repeatable workflow…
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