Sr Manager, Marketing Analytics

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.

Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more.

Pay Range

$153,000—$187,000 USD