Sr Manager, Marketing Analytics

SharkNinja•New York, NY

About The Position

SharkNinja 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 has allowed SharkNinja 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. We're seeking a Senior Manager, Marketing Analytics to help define and lead how the SharkNinja Marketing team harnesses AI to power smarter decisions globally. This is a high-impact, evolving role at the intersection of data, technology, and marketing strategy — and the right candidate will help shape what it becomes. The ideal candidate brings a strong foundation in data and analytics engineering, a genuine curiosity about applied AI, and the ability to translate emerging capabilities into practical tools that help marketing teams move faster and make better decisions.

Requirements

Education: Bachelor's in Data Science, Analytics, Computer Science, or related field. Master's preferred.
Experience: 8–10 years in analytics or data science, with demonstrated experience applying AI or ML in a commercial context. CPG, retail, or consumer technology background preferred.
Applied AI: Practical experience deploying AI and machine learning solutions that generate measurable business impact, not just theoretical knowledge.
Modern data stack: Proficiency in tools such as Snowflake, dbt, and Fivetran, with strong knowledge of ETL/ELT processes and visualization platforms.
Commercial acumen: Ability to connect data and AI outputs to marketing and business outcomes, with enough fluency across media, social, and go-to-market to ask the right questions.
Communication & influence: Strong ability to communicate across technical and non-technical audiences and influence senior stakeholders with data-driven recommendations.
Player-coach mindset: Proven ability to build hands-on while enabling broader team success. Comfortable operating with ambiguity and establishing structure in a fast-moving, matrixed environment.

Responsibilities

Launch performance intelligence: Develop the frameworks, metrics, and AI-powered models that enable SharkNinja to systematically evaluate go-to-market success — identifying the drivers of launch performance across markets and product lines.
Content effectiveness: Build the measurement infrastructure to assess social content effectiveness, surface performance patterns, and connect content signals to broader marketing and commercial outcomes.
Upstream market intelligence: Leverage AI to synthesize competitive, consumer, and category signals that inform upstream positioning decisions and give SharkNinja a forward-looking view of the market.
Data infrastructure & AI enablement: Design and maintain the data pipelines and AI tooling that underpin launch intelligence, content effectiveness, and upstream market analysis — ensuring quality, scalability, and alignment with the broader global marketing strategy.
Cross-functional partnership: Collaborate with Marketing, Analytics, IT, and Commercial Data teams to align priorities and translate analytical outputs into decisions that move the business forward.