Director - Commercial Planning, North America

SharkNinja•Needham, MA

20h•Hybrid

About The Position

SharkNinja is seeking a North America Commercial Planning leader to serve as the connective tissue across our commercial planning ecosystem. The Commercial Planning individual will synthesize demand signals across retailers, channels, and categories into a clear, pressure-tested gross sales outlook — and translate those insights into action. We are building a lean, high-impact Commercial Planning function, and the right person will be analytically self-sufficient, cross-functionally influential, and genuinely energized by working in an environment that is evolving. The tools, scope, and cross-functional expectations of this team will continue to change; we are looking for someone who sees that as an opportunity.

Requirements

Bachelor’s degree in Supply Chain, Business, Finance, Economics, or related field
Experience in S&OP, demand planning, or commercial analytics in a consumer goods or retail environment; title will reflect level of experience
Background in cross-functional program or project management, with demonstrated experience driving alignment and decisions across commercial, supply, and finance teams
Strong forecasting fundamentals: baseline demand, promotional lift, NPD ramp, WOS/POS dynamics, and constrained vs. unconstrained bridging
Demonstrated ability to turn data into a clear point of view and influence action across a cross-functional team — without relying on authority
Comfort with data and BI tools; experience with AI-powered analytics is a strong plus, and an eagerness to adopt and build fluency with AI tools quickly is essential
Exceptional communicator — able to translate complex analysis into concise narratives for senior stakeholders
Highly adaptable — thrives when the role, tools, and expectations are shifting, and brings structure and clarity rather than waiting for it
Proactive mindset and strong follow-through — you identify the insight and you track it through to action
Collaborative, curious, and energized by being the person who connects the dots that others miss

Nice To Haves

AI-powered analytics experience
Eagerness to adopt and build fluency with AI tools quickly

Responsibilities

Own the total NA gross sales forecast by synthesizing and pressure-testing inputs across account and category teams into a coherent, reliable outlook
Drive regular trend vs. forecast reviews, incorporating sell-through dynamics, retailer inventory health, forecast accuracy, revenue pacing, and new product performance
Build and maintain constrained vs. unconstrained demand scenarios, monthly phasing, and financial hedges for NPD launches and supply risk
Identify demand risks and opportunities — including cross-retailer dynamics — and partner with stakeholders to recommend and drive corrective action
Serve as a strategic partner to Sales, SS&A, Supply Planning, Finance, and Product Development to gather inputs, align assumptions, and drive accountability in the forecast
Own the demand review process with Supply Planning, ensuring cross-functional alignment before new demand signals are actioned downstream
Proactively bring insights and risks to the right stakeholders — not after the fact, but early enough to change the outcome
Support the preparation and delivery of monthly commercial planning reviews and IBP consensus planning
Translate data into clear, business-relevant narratives that drive decision-making across commercial, supply, and finance leadership
Leverage AI tools and emerging technologies to accelerate analysis, automate recurring outputs, and surface insights that would be difficult to reach through traditional approaches
Support scenario planning and what-if analysis as commercial priorities shift
Build, refine, and adapt planning processes and reporting frameworks as the team and business evolve
Stay curious about new planning technologies — including AI and automation — and bring forward practical applications that raise team capability
Help establish and track planning KPIs including forecast accuracy, bias, attainment, and inventory health