Motorola SolutionsRemote
Product Manager - Business Intelligence & Analytics
United States of America
Full Time
3 weeks ago
$120,000 - $150,000 USD
H1B Sponsor Likely
Key skills
Product ManagementData AnalyticsBusiness IntelligenceTableauPowerBILookerCloud InfrastructureKubernetesEnterprise IntegrationsCollaborative MindsetAnalyticsBILeadershipCollaborationPresentation SkillsSales
About this role
Motorola Solutions is a global community focused on building technologies to enhance safety. They are seeking a Product Manager for their Core Platform & Services Applications team to lead business intelligence strategies and operational analytics, transforming raw data into actionable insights for strategic growth.
Responsibilities:
- Define BI Strategy: Lead the roadmap for internal business intelligence, identifying the key performance indicators (KPIs) and operational metrics required by leadership to evaluate the health of the CPS ecosystem
- Build & Manage Dashboards: Design, develop, and maintain high-impact BI dashboards that provide real-time visibility into application adoption, service utilization, and centralized cost management
- Operational Analytics: Analyze complex datasets across hardware, software, and cloud services to identify trends, bottlenecks, and opportunities for operational efficiency
- Executive Interfacing: Act as the "voice of the data" for MSI executives, translating technical telemetry into business narratives that showcase the value proposition and progress of the CPS team
- Cross-Functional Collaboration: Partner with Engineering, Finance, and Product teams to ensure data integrity and to automate the collection of metrics from various common services like Unified ID and AMS
- Data-Driven Roadmap Support: Use internal usage data and market trends to prioritize feature backlogs and influence the broader product strategy
Requirements:
- Bachelor's degree
- At least 5 years in Product Management with a heavy emphasis on Data Analytics, BI, or Business Operations
- Strong expertise in BI tools (e.g., Tableau, PowerBI, or Looker) and experience working with data sourced from cloud infrastructure, Kubernetes, and enterprise integrations
- Demonstrated success in translating raw operational data into executive-level insights and strategic recommendations
- Polished presentation skills with the ability to explain complex data trends to non-technical internal stakeholders
- A natural consensus builder who can work across procurement, engineering, and sales to unify disparate data sources into a single 'source of truth.'
- An MBA or a degree in Data Science/Analytics is a significant plus