We’re looking for a Data, Analytics & AI Product Manager to support strategy, roadmap, and delivery of our enterprise data products — built on Snowflake as our cloud data platform and Tableau as our primary analytics and visualization layer — and to lead the productization of AI and machine learning capabilities across the business.
You’ll partner with stakeholders across Commercial, Supply Chain, Product, Finance, and Operations to turn raw data into decision-ready insights and intelligent experiences. This role sits at the intersection of business strategy, data engineering, analytics, and applied AI. You’ll define what gets built, why it matters, and how success is measured — and you’ll champion the responsible adoption of AI to accelerate how Specialized runs and grows.
What You’ll Do
Own the product roadmap for our Snowflake-based data platform, Tableau analytics ecosystem, and AI/ML product portfolio (including GenAI use cases, predictive models, and embedded intelligence).
Translate business needs into data and AI products — Tableau dashboards, Snowflake data marts and semantic models, ML-driven forecasts, recommendation engines, and GenAI assistants — by deeply understanding stakeholder workflows and decision points.
Lead AI product strategy — identify high-value AI/ML opportunities, define use cases, partner with data science and engineering on model selection, and own the path from prototype to production.
Define and prioritize the backlog for data engineering, analytics, and AI/ML teams, balancing strategic initiatives, technical debt, and reactive requests.
Partner with data engineering and platform teams on Snowflake architecture decisions — warehouse sizing, cost governance, data sharing, role-based access, and Snowpark / Cortex adoption.
Drive Tableau as the standard analytics experience — establish certified content, governed self-service patterns, performance standards, and adoption playbooks.
Establish data and AI product standards — naming, documentation, SLAs, certification levels, model monitoring, evaluation criteria, and responsible AI guardrails.
Champion data quality, governance, and AI safety in partnership with the data governance function — data contracts, master data alignment, model bias review, and human-in-the-loop design.
Collaborate with PLM, ERP, and commercial system owners to ensure data and AI products integrate cleanly with core operational platforms.
Drive adoption and measure impact — usage analytics in Tableau and Snowflake, AI model performance, and business outcomes tied to each product.
Communicate roadmap, progress, and value to leadership and the broader business.
What You’ll Bring
Required
5+ years of product management experience, with 3+ focused on data, analytics, or AI/ML products.
Demonstrated experience shipping at least one AI or ML product to production — predictive analytics, NLP, recommendation systems, or GenAI applications.
Working knowledge of modern AI/ML concepts: model lifecycle, evaluation, prompt engineering, RAG architectures, and responsible AI principles.
Strong working knowledge of modern data stacks — cloud data warehouses, ELT tooling (dbt, Fivetran, or similar), semantic layers, and orchestration.
Experience writing requirements that bridge business intent and technical implementation using Jira and Confluence
Excellent stakeholder management across executive, functional, and technical audiences.
Proven ability to prioritize ruthlessly in a high-demand, multi-stakeholder environment.
Preferred
Experience with Snowflake Cortex, Snowpark, or native AI/ML features on Snowflake.
Familiarity with Tableau Pulse, Tableau AI, or embedded analytics patterns.
Experience integrating LLMs (OpenAI, Anthropic, Azure OpenAI) into business applications.
Background in consumer products, retail, manufacturing, or supply chain domains.
Familiarity with master data management, data governance frameworks, and data mesh / data product principles.
Background working with PLM, ERP (SAP, Oracle, or similar), or commercial platforms (Salesforce, e-commerce).
Agile / Scrum certification or equivalent experience.
We want to increase representation of all races, genders, and body types in the cycling industry and are committed to building a diverse and inclusive workforce where all people thrive. We encourage everyone – especially those from marginalized groups – to apply to our job postings and help us earn the position as the rider’s brand of choice. We are always looking for creative, innovative, and passionate people who are eager to contribute to our mission of pedaling the planet forward. Regardless of your qualifications, if you are ready to make a difference, please apply and let us know how you can make an impact at Specialized!
See what we are up to on LinkedIn, Instagram.
Skills Required
- 5+ years of product management experience
- 3+ years focused on data, analytics, or AI/ML products
- Demonstrated experience shipping at least one AI or ML product to production
- Working knowledge of modern AI/ML concepts
- Strong working knowledge of modern data stacks
- Experience writing requirements using Jira and Confluence
- Excellent stakeholder management skills
- Proven ability to prioritize in a multi-stakeholder environment
Specialized Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Specialized and has not been reviewed or approved by Specialized.
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Retirement Support — A 401(k) with Fidelity offers up to $5,000 in annual employer matching with immediate vesting, and the company covers plan administrative fees for active employees. This provides strong retirement support within the total package.
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Parental & Family Support — Published materials describe 6–8 weeks at 100% pay for birthing recovery and 8 weeks of fully paid parental bonding, alongside fertility benefits and adoption assistance. Some materials indicate certain roles or locations may offer even longer fully paid leave.
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Wellbeing & Lifestyle Benefits — Cycling‑centric perks include substantial gear discounts, race entry fee support, on‑site fitness options, healthy on‑site meals, an employee bike service center, and a dog‑friendly HQ. These benefits can meaningfully enhance day‑to‑day experience for those who value the cycling culture.
Specialized Insights
What We Do
Founded on the principle of performance and fueled by innovation, our focus on the rider and their needs is our constant. From seasoned pros and weekend warriors, to kids and commuters—if you ride, we’re for you. The passion we have for sharing our love of bikes with the world can be seen in those who choose to work here. Headquartered in Morgan Hill, CA, the passionate and creative teammates at Specialized have designed and manufactured the world's most innovative bikes and gear since 1974. Are you ready to join our team and help pedal the planet forward?
