1 день назад
Product Manager, Enterprise Analytics
137 300 - 176 610$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager, Enterprise Analytics (Semantic Layer/Data Governance): Building the cross-functional analytics layer that supports executive reporting, certified metrics, semantic definitions, and data governance with an accent on metric architecture, stakeholder alignment, and scrum delivery. Focus on designing semantic-layer standards, shipping executive-facing analytics products, managing certification workflows, and applying AI to metric search, narrative generation, and anomaly detection.
Location: Onsite at 5600 Avenida Encinas, Carlsbad, CA 92008, USA
Salary: $137,300–$176,610 per year, bonus eligible
Company
creates athletic apparel inspired by an active coastal California lifestyle, combining fitness, creative expression, and casual everyday design.
What you will do
- Own the Enterprise Analytics roadmap covering the semantic layer, executive analytics, certified metrics, and data governance.
- Partner with VPs and executives to define business metrics, dashboards, and analytics products.
- Build the data semantic layer, including metric definitions, dimensions, and certification processes.
- Manage the Associate Product Manager for Data Governance and oversee the governance portal and steward network.
- Run a scrum team of engineers and consultants, managing prioritization, sprint planning, and delivery.
- Ship executive analytics products such as WBR scorecards, C-suite reporting, and cross-functional KPI views while exploring AI applications.
Requirements
- 5+ years of experience in product management, analytics, business intelligence, or a senior analyst role.
- Strong stakeholder management, written communication, and verbal communication skills.
- Hands-on experience with a semantic layer or modern BI platform such as MicroStrategy, Looker, Power BI semantic models, dbt Semantic Layer, or Cube.
- Strong knowledge of KPI and metric design, including edge cases, versioning, certification, and adoption.
- Experience building executive-facing analytics products and running agile or scrum delivery with engineering teams.
- Familiarity with data governance concepts, including business glossaries, metric certification, data lineage, and ownership models.
Nice to have
- Experience with governance tools such as Atlan, Collibra, or Alation.
- Experience in DTC, apparel, or branded consumer goods, including metrics such as sell-through, weighted in-stock, and retention.
- Awareness of AI applications in enterprise analytics, including semantic search, natural language to SQL, and automated insights.
- Experience using AI productivity tools such as Claude or Copilot.
Culture & Benefits
- Health insurance and an employee assistance program.
- Savings and retirement plan.
- Paid time off.
- employee discount and industry perks.
- Wellness and fitness benefits.
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