Senior Governance Operations Analyst

Company Summary

Echo Star is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Candidates must be willing to participate in at least one in-person interview.

As the Senior Governance Operations Analyst, you serve as the process backbone of our AI Governance program, focusing on data-driven design and performance tracking. Your primary challenge is to eliminate manual data collection by automating the Governance Engine, providing real-time visibility into the health of our AI initiatives for executive stakeholders. By translating complex metrics into high-fidelity narratives, you ensure that leadership is equipped with the quantified evidence needed to steer Echo Star’s AI strategy.

• Design and maintain self-service dashboards that visualize the velocity and volume of the Governance Engine, ensuring stakeholders have instant access to program status.
• Monitor critical program metrics, such as Time-to-Approval and Throughput Velocity, to identify process bottlenecks and prioritize interventions for the Senior Manager.
• Analyze trends to shift the Governance program from reactive monitoring to proactive optimization, driving business units toward higher governance maturity levels.
• Produce high-quality, data-driven presentation materials for the Data Governance Committee and Executive Council that clearly highlight adoption rates and operational health.
• Recommend continuous improvements to the intake and review workflows based on empirical evidence, ensuring the governance framework evolves alongside our technology.
• Collaborate with Governance Delivery Analysts to refine processes, reducing administrative burden while improving the overall throughput of the delivery pipeline.

• Critical experience managing Stage-Gate or Dev Ops pipelines where throughput, velocity, and data integrity are the primary success metrics.
• Proven ability to design and analyze complex processes to pinpoint specific stages where the framework requires adjustment or streamlining.
• Expert skill in translating raw metrics into strategic stories that demonstrate progress and absorption of the AI governance pipeline to C-suite leadership.
• Proficiency in automating the aggregation of data from disparate sources to create a Single Source of Truth for program health.
• Advanced AI Literacy with the ability to leverage AI-driven visualization tools and automated reporting frameworks to enhance operational oversight.
• Strong capacity to create consistent narratives and high-fidelity Evidence Packs that communicate project status without error to executive committees.
• Excellence in documentation and communication, ensuring that technical findings are accessible and actionable for non-technical business leaders.

• Experience preparing data for C-suite or Board-level committees with a focus on error-free reporting.
• Proven experience in creating data-rich narratives regarding how governance is absorbed across a technical enterprise.
• Familiarity with Evidence Packs and high-fidelity operational reviews for executive leadership.

• Bachelor’s Degree (minimum) in Business, Data Science, Computer Science, or Engineering.
• 4–6 years of experience in Business Intelligence, Analytics Engineering, or Operations Management within a technical enterprise.
• Must have at least 4 years of experience with:
  • Designing and maintaining automated dashboards (e.g., Tableau, Power
    
    BI, or similar).
  • Managing Stage-Gate or Dev Ops pipeline metrics.
  • Data-driven storytelling and C-suite level reporting.

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