Manager, Data Ops, Platforms and Analytics

Fashionphile•Carlsbad, CA

1d•$135,000 - $145,000•Hybrid

About The Position

We are looking for a full-time Manager, Data Ops, Platforms, and Analytics to join our Data Science and Analytics team in our Carlsbad, CA Location! Please note - this is a hybrid role, requiring 1 day a week in our Carlsbad, CA location. Relocation assistance is not provided. The Manager, Data Ops, Platforms and Analytics is a technical leader who builds and optimizes BI solutions using data sources to deliver high-quality executive and functional dashboards, robust KPI definitions, and governed reporting. This role oversees day-to-day data operations, manages team projects, and mentors team members to build a strong, capable data function.

Requirements

A master’s degree in data science, analytics, engineering, computer science, mathematics, business analytics or related discipline
4+ years of hands-on experience specifically managing BI, reporting, and operational analytics teams—including direct responsibility for delivering executive and functional dashboards, integrating and validating data from cloud data warehouses (e.g., Redshift), S3, and multiple business systems, maintaining data quality and governance, overseeing incident management and SLA compliance, enabling self-serve reporting, and leading successful tool integration and process improvement projects.
AWS Data Strategy & Architecture: Experience building scalable BI/reporting ecosystems (Tableau, Looker, Sisense/Periscope, PBI, or similar)
Tool & Tech Expertise: Hands-on experience with additional BI, reporting, data integration (Reshift, AWS, S3, cloud and enterprise platforms), or cloud tools
Statistical and ML Methods: Advanced knowledge of statistical and machine learning methods including hypothesis testing, regression, classification and clustering
Leadership and Team Skills: Highly motivated self-starter, strong leadership skills, and proven ability to build, mentor, and motivate technical teams
Business Acumen and Communications: Experience partnering with executive leadership; strong business acumen and exceptional communication, stakeholder management, and presentation skills
Agile/Project Management: Experience in fast-paced agile environments and running analytics/reporting projects end-to-end
Familiarity with a broad set of statistical/machine learning methods and concepts, ranging from hypothesis testing and linear regression analysis to supervised and unsupervised learning
Highly motivated self-starter, strong leader, team player with experience working in a fast-paced, agile environment

Responsibilities

Design, build, and optimize BI solutions using data in Enterprise Data Warehouse and multiple data sources stored in AWS (Redshift, S3), and data from other applications, to deliver executive and functional dashboards, robust KPI definitions, and governed reporting, consistently ensuring reports are delivered on time with adherence to SLAs.
Integrate, configure, and roll out new BI and reporting tools; oversee and coordinate data integration efforts—ensuring that integrated data sources are available, accessible, high-quality, and fit-for-purpose for reporting/analytics; partner closely with Data Engineering, articulate business requirements, validate data integration projects, and own outcomes like unified reporting, governance, and data quality for analytics (not the hands-on technical builds).
Oversee day-to-day BI, reporting, and analytics operations, including managing project intake, assignments, ad hoc requests, incident management with appropriate urgency, and ongoing team delivery cycles.
Collaborate with stakeholders to define requirements, deliver actionable insights, provide training, and maintain clear process documentation to ensure business needs are met.
Maintain and continually improve a governed BI ecosystem, including semantic layers, KPI glossary, and robust monitoring of data lineage and quality, to drive trusted, impactful business insights and reporting.