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Senior Manager, AI & Org Transformation

Job in Needham, Norfolk County, Massachusetts, 02492, USA
Listing for: Ninjakitchen
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Change Management, AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 160000 - 190000 USD Yearly USD 160000.00 190000.00 YEAR
Job Description & How to Apply Below

About Us

Shark Ninja 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 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.

AI at Shark Ninja

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.

Senior Manager, AI & Organizational Transformation

Senior Manager, AI & Organizational Transformation is a newly created role that leads the AI‑driven transformation in Product Development and Engineering. It focuses on translating AI capability into practical implications for roles, workflows, job architecture, and operating models. The work spans AI workforce planning, organizational design, work redesign, and change enablement.

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: 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. 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 should remain human‑led, be AI‑augmented, be automated, or require human‑AI handoffs, and design job architectures accordingly.
  • Define emerging role types needed for AI‑enabled work: 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, and design future‑state processes that are implementable.
  • Build a repeatable workflow redesign methodology that HRBPs and functional leaders can use to scale this work across teams and product categories.
  • Apply structured process improvement approaches and establish feedback loops to measure impact over time.
Change Enablement & Adoption
  • Lead change planning for AI workforce initiatives across PD&E, including stakeholder engagement, communications strategy, and adoption sequencing.
  • Develop change strategies that account for workforce anxiety, role evolution, and the cultural dynamics of an engineering and design‑heavy population.
  • Serve as a trusted advisor to senior PD&E leaders on the human side of AI adoption: what it means for their teams, their org structures, and their talent.
  • Equip leaders with messaging, decision frameworks, and adoption support materials.
People & Culture (P&C) Partnership & Stakeholder Leadership
  • Focus on AI workforce transformation, not a generalist HRBP. Work closely with the Senior…
Position Requirements
10+ Years work experience
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