Head of Data Analytics

1- Strategic Data Leadership

• Lead the strategic vision for Starlinks' data capabilities across both business and technology domains.
• Drive the evolution of data from reactive reporting to proactive insight generation and behavior-based intervention.

2- Engagement-Driven Insight Enablement

• Embed with business units (3PL, eCommerce, Delivery, Control Tower) to understand their evolving decision-making needs even when unstated.
• Lead user research, persona definition, and journey mapping to ensure that data tools, services, and analytics solutions drive operational impact.

3- Hypothesis-to-Action Design

• Implement a dynamic capabilities model where data informs questions, builds hypotheses, and translates into system-embedded workflows, alerts, or nudges that change user behavior and outcomes.

4- Ownership of Data Platform Product

• Define the roadmap for internal and external monetization of data assets and develop commercial models for external usage.

5- Data Platform Ownership

• Own the experience, governance, and roadmap of the unified Data Platform (Microsoft Fabric-based) as a product.
• Ensure secure, discoverable, curated, and composable data assets for both internal and external stakeholders.

6- Logistics Platform Data Support

• Define and coordinate data use cases across logistics orchestration services (OMS, WMS, TMS), Control Tower, Digital Twins, and IoT.
• Ensure data dependencies, SLA expectations, and pipeline readiness are aligned with platform feature releases.
• Collaborate with platform and product teams to embed intelligence, observability, and traceability in real-time operations

7- Commercial Data Strategy & Monetization

• Identify and prioritize data domains that can drive external value for customers, vendors, or marketplace partners.
• Define business models for data products, including licensing, API access, embedded analytics, and insights-as-a-service.

8- Governance & Data Council Leadership

• Chair the Starlinks Data Council, promoting federated data ownership, privacy controls, and quality management across domains.
• Establish KPIs and SLAs for data freshness, completeness, timeliness, and accuracy.

9- Federated Enablement & Culture

• Enable citizen developers and embedded data teams through standards, training, and embedded support.
• Promote a culture of curiosity, experimentation, and ethical use of data.

10- Team & Capability Building