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Director, AI Changemaker - People & Culture

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Ninjakitchen
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Change Management, AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 184200 - 270100 USD Yearly USD 184200.00 270100.00 YEAR
Job Description & How to Apply Below

About Us

Shark Ninja is a global product design and technology company with a diversified portfolio of lifestyle solutions. Powered by two trusted, global brands, Shark and Ninja, the company has a track record of bringing disruptive innovation to market. Shark Ninja operates worldwide with headquarters in Needham, Massachusetts and more than 4,100 associates.

AI at Shark Ninja

We are building an AI-native culture. We encourage experimentation, adoption of new tools, and continuous improvement to create meaningful impact for our consumers.

The Role

Director, AI Change maker — People & Culture

Reports to: VP, Chief of Staff to the CEO

Dotted Line: EVP, Chief People Officer

The Role Overview

The Director, AI Change Maker is a high-impact, strategic/doing role at the intersection of People and Culture. The role operates as a player/coach, co-leading both strategy and hands-on project management for AI integration and work reimagination across Shark Ninja—from hire to retire, service delivery, and enterprise storytelling. It serves as the connective tissue that carries AI forward in our ways of working across the company.

You will build the data foundation, deploy AI capabilities, and transform workflows so that Shark Ninja’s People & Culture organization operates faster, smarter, and delivers greater impact enterprise-wide.

The Director, AI Change Maker carries a dual mandate: drive the current portfolio of AI initiatives to measurable completion, and partner with P&C leadership to shape what comes next. You will build AI capability and solutions that transform how P&C works today and in the future. You will be measured on adoption, speed, and measurable business impact.

What You Will Do
AI-led Org Transformation
  • Co-own the AI transformation roadmap across the full P&C function, identifying overlaps, dependencies, and consolidation opportunities
  • Deploy work-imagination and skills-mapping platforms to enable smarter workforce deployment across P&C and the enterprise
  • Build and scale an AI coaching tool for managers, enabling always-on development support, real-time feedback, and career pathing at a fraction of external coaching costs
  • Build enterprise AI capability programs, run cross-functional sprints, and embed new ways of working at scale as the connective tissue between P&C and other functions' AI transformation
  • Sequence and prioritize ruthlessly: act as PMO to drive each initiative to completion before starting the next
  • Leverage employee-first HR technology (e.g. Oracle, Greenhouse, Lattice)
Enterprise Storytelling
  • Collaborate with enterprise storytelling and communications teams to build AI-augmented content production models, moving toward faster and high-quality production
  • Build agents and AI-powered workflows that turn company moments into internal stories in near real time
Talent Access (Hiring) & Service Delivery
  • Deploy AI agents, automations, and workflows that augment service-level tasks across P&C such as scheduling, sourcing, onboarding, content production, and information sharing
  • Accelerate candidate sourcing and scheduling through AI, compressing time-to-fill and widening the funnel while reducing coordinator dependency
  • Shift P&C to a customer-centric service delivery model with easily accessible key information
Team Building & Change Management
  • Drive hands-on AI adoption in the P&C organization
  • Lead change work for the future, not just traditional change management
  • Drive change management across large, global work forces with varying AI fluency
  • Translate complex AI capabilities into practical, adoptable solutions
  • Establish success metrics, track adoption, and report outcomes to executive leadership
  • Champion a culture of experimentation: fast iteration and scaling what works
Who You Are
Required
  • 8+ years in AI/ML, HR transformation, talent operations, or technology-driven change management
  • Strong technical fluency in AI/ML and ability to evaluate tools and collaborate with engineers and data scientists
  • Deep understanding of enterprise HR operations and how AI reshapes HR work
  • Proven track record leading large-scale transformation in complex, multi-stakeholder environments
  • Ability to bridge technical and business:…
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