Senior Analyst - Governance Operations

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.

What Success Looks Like (Objectives):

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

Core Skills, Competencies, and Key Experiences (What you’ll bring)
Critical experience managing project pipelines where throughput, velocity, and data integrity are the primary success metrics

Agile Integration:
Comfort operating in fast-paced, pod-based agile environments (Sprints, Stand-ups, Retrospectives) while maintaining an uncompromising focus on "Quality Gates"Drives end-to-end request intake by bucketing incoming work into dedicated governance council backlogs, while collaborating with cross-functional teams to seamlessly queue and triage items for execution

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 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

Additional Qualifications:

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

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

Minimum Requirements

Minimum Education:

Bachelor’s Degree in Business, Data Science, Computer Science, or Engineering

Minimum Experience:

4–6 years of experience in Business Intelligence, Analytics Engineering, or Operations Management within a technical enterprise

Required Technical

Skills:

Must have at least 4 years of experience with:

Designing and maintaining automated dashboards (e.g., Tableau, Jira, or similar)
Agile methodologies

Data-driven storytelling and C-suite…