4 дня назад
Senior Product Manager - Selling Selling Insights (Retail Analytics)
142 000 - 220 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager - Selling Selling Insights (Retail Analytics) (Looker/AI): Owning the strategy and delivery of store selling insights, evolving reliable enterprise BI reporting into proactive, predictive, mobile-first intelligence with an accent on data governance, metric certification, and user-centered product development. Focus on defining a multi-year roadmap, managing platform migration and cross-team dependencies, and translating telemetry and research into measurable product improvements.
Location: Hybrid in Seattle, Washington; minimum four days per week in the corporate headquarters.
Salary: $142,000–$220,500 annual, with potential performance-based incentives or bonuses.
Company
is a retail company providing customer-facing products and services through its store operations.
What you will do
- Own the multi-year vision and roadmap for the Store Selling Insights Delivery reporting and intelligence product.
- Evolve fragmented desktop reporting into intelligent, mobile-first, role-based insights and proactive next-best-action capabilities.
- Drive prioritization, backlog sequencing, user stories, acceptance criteria, delivery, and sprint planning across engineering and analytics dependencies.
- Lead data governance, metric definition and certification, architectural discussions, and platform migration or consolidation efforts.
- Define success metrics, analyze telemetry and user feedback, and adjust the roadmap based on evidence.
- Lead discovery with executives, store leaders, and department managers while aligning stakeholders across technical and business functions.
Requirements
- 5+ years of product management experience with end-to-end ownership of a product domain at the Senior Product Manager level.
- Experience with enterprise BI and reporting platforms, particularly Looker, and modern cloud data ecosystems; GCP and BigQuery are strongly preferred.
- Hands-on experience with platform migration or consolidation, legacy deprecation, user change management, and stakeholder alignment.
- Knowledge of metric certification, semantic layers, data ownership models, and data producer and consumer responsibilities.
- Working knowledge of data engineering, analytics, SQL, data warehousing, and pipeline concepts.
- Ability to work independently in ambiguous, matrixed environments and communicate clearly with leadership and engineering audiences.
Nice to have
- Experience with conversational analytics, agentic AI, or LLM-powered product development.
- Familiarity with store operations, store leader personas, or retail workforce management.
Culture & Benefits
- Medical, vision, dental, retirement, and paid time away benefits.
- Life insurance, disability insurance, PTO accruals, and holidays.
- Merchandise discount and employee assistance program resources.
- 401(k) and additional benefits subject to location, job level, classification, and employment length.
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