Specialized
Sr. Manager, Data & Analytics
United States, CA, Morgan Hill (Office) · Senior · Full-time
Sponsorship not specified$120k-$208kDetected 30 days ago
PythonGitSQLBigQuerySnowflakeDatabricksVector DatabasesKafkaMachine LearningAirflowdbtData EngineeringLLMsA/B TestingIncident ResponseStakeholder ManagementPerformance ManagementLeadershipMentoringPublic Speaking
About the role
- 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.
Responsibilities
- Define and own the multi-year roadmap for the data platform, aligning investments in infrastructure, tooling, and headcount with business strategy.
- Lead and grow the Data and Analytics team, cultivating a collaborative, feedback-rich environment with clear career pathways.
- Champion best practices in analytics engineering, including semantic layer design, dbt modelling standards, data contracts, and metrics governance.
- Partner with business stakeholders to deliver high-quality, self-serve data solutions aligned to business needs.
- Drive vendor and tool evaluations for the modern data stack (cloud warehouse, orchestration, cataloging, transformation, reverse ETL, etc.).
- Set and enforce data quality, documentation, and governance standards to build trust across the business.
- Intelligent data pipelines: Implement AI-native patterns-LLM-generated documentation, anomaly detection, data quality monitoring, and automated root-cause analysis.
- AI platform enablement: Build foundational data infrastructure (feature stores, vector stores, model metadata, evaluation datasets) to enable AI and ML experimentation and scale.
- Experience building and scaling high-performing engineering teams: hiring, mentoring, performance management
- 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.
Requirements
- 7+ years in data engineering or analytics engineering, with 3+ years in a senior leadership role managing multiple teams
- Deep expertise in the modern data stack-cloud data warehouses (Snowflake, BigQuery, or Databricks), dbt, orchestration tools (Airflow, Dagster, or Prefect), and ELT frameworks
- Hands-on experience integrating AI/LLM tooling into engineering workflows or data products
- Proven ability to define and execute a multi-year data platform strategy
- Familiarity with semantic layer tools (e.g. MetricFlow, Cube), data cataloging (e.g. Atlan, Datahub), and data observability platforms
- Experience with streaming data (Kafka, Flink, or Kinesis) and batch processing
Skills
- Prototype NL-to-SQL and AI-powered BI tools to empower self-serve analytics for non-technical users.
Compensation
- At Specialized, your base pay is one part of your total compensation package and will depend on your work experience, skills, certification, and location.
- ($119,628 - $208,153 )
- Below is a summary of compensation elements for this role at the company if based in the following locations:
- Competitive pay with annual performance-based reviews for continued growth and recognition
- Up to $9,000 annually in Career Development & Degree Assistance
Benefits
- As a full-time, regular teammate, you are eligible for the following benefits, beginning the first of the month following your start date.
- Health Savings Account (HSA) with employer HSA contributions when enrolled in the High-Deductible Healthcare Plan (HDHP)
- Dental and Vision plans
- 401(k) Company Matching up to $5,000 annually with immediate 100% vesting and administrative fees paid for by the company
- Company-paid Life, AD&D, Short-Term Disability, and Long-Term Disability Insurance
- Generous Vacation, Sick, Paid Holidays, and Volunteer Time Off
- 14 weeks of 100% paid leave for birthing parents and 8 weeks of 100% paid leave for non-birthing parents, plus a Specialized bike for your new baby
- Up to $250 annually in Fitness & Wellness Reimbursement
- Industry Pro-Deal Discounts and Perks
- https://benefits.specialized.com.
- Benefits include:
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This listing is sourced directly from Specialized's careers page and normalized into a canonical job model.