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.

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.

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.