About the job
The Strategic Analytics Manager will play a critical role in enabling data-driven product innovation and AI advancement at ConsumerAffairs. This role partners closely with Product to build scalable data solutions that empower teams to answer questions independently while providing deeper strategic analysis on complex business challenges. It blends product analytics, experimentation strategy, AI enablement, and advanced modeling to support both our consumer experiences and AI-driven SaaS initiatives.
This role is responsible for designing and maintaining the data foundations that power experimentation, product optimization, and AI-enabled decision systems. Key initiatives include supporting A/B testing strategy, improving conversion performance across paid and organic channels, building pricing and growth models, and ensuring classification and AI-assisted workflows operate with reliable, deterministic behavior where required. Deliverables include scalable dashboards and self-serve tools, deep analytical modeling, experimentation design support, and translating complex findings into clear, actionable narratives for product and executive leadership.
The successful candidate will demonstrate systems-level thinking, intellectual curiosity, and a passion for building sustainable data infrastructure that scales. They will excel at structuring ambiguous questions, applying AI responsibly, and converting analytical insight into durable product improvements.
These responsibilities are not to be construed as a complete statement of all duties performed. Employees will be required to perform other job-related duties as required
- Analyze large and complex data sets to identify trends, patterns, and insights that drive product strategy, experimentation, and AI-enabled decision-making.
- Design and build scalable dashboards, data models, and self-serve tools that empower Product and cross-functional teams to independently answer key business questions.
- Partner closely with Product Managers to support A/B testing, conversion optimization, SEO performance, and matching tool enhancements .
- Develop and validate analytical and classification models, ensuring reliable and deterministic behavior where required for production decision systems.
- Translate ambiguous business questions into structured analytical frameworks and AI-assisted workflows.
- Present findings and strategic recommendations to senior leadership in a clear, actionable, and decision-oriented manner.
- Monitor performance of experiments, product initiatives, and AI-driven systems, recommending iterative improvements based on data.
- Stay current with emerging analytics and AI technologies, proactively identifying opportunities to responsibly scale AI capabilities across the organization.
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