Director, Data Governance

				Overview:

We are seeking a Director of Governance to establish and lead a hands-on governance function that ensures trust, transparency, and accountability in our AI/GenAI programs. This role will anchor governance for AI/GenAI delivery and expand into data and analytics governance as a future state.

The ideal candidate can think strategically, execute pragmatically, and brings deep technical expertise in data and ai governance programs. They will create the governance roadmap, establish operational processes, and build a team of governance analysts who work directly with delivery squads to embed governance into day-to-day workflows.

Responsibilities:

* Current Scope (AI/GenAI Governance)

* Define and execute a 12-18 month governance roadmap, starting with AI/GenAI programs.
* Develop standards for model documentation, monitoring, explainability, life cycle management, and core governance principles (bias, transparency, fairness, accountability and privacy).
* Monitor and ensure compliance with AI laws and regulations, partnering with other EchoStar teams.
* Manage AI-related risks and controls, maintaining the risk register and performing monitoring of key controls.
* Support training programs to build awareness of AI, including best practices, risks, ethical considerations and compliance.
* Define metadata requirements and governance controls within AI/GenAI platforms.
* Build mechanisms for governance-in-delivery (e.g., checklists, automated gates, and embedded analysts).
* Partner with InfoSec, Legal, Compliance Teams and business stakeholders to align without duplication of effort.
* Establish governance KPIs and communicate progress to executives.

Future State (Data & Analytics Governance)

* Stand up data governance function: ownership, stewardship, cataloging, access/entitlement models (Unity Catalog, Snowflake), retention policies.
* Stand up analytics governance function: quality standards, certified dashboards, lineage, explainability of KPIs.
* Scale governance analysts into a shared service embedded across AI, data, and analytics delivery squads.
* Develop knowledge base and training frameworks for business teams, IT teams and both Data Users and Stewards. 
* Collaborate with the Enterprise Architecture team to embed Governance within the systems and across the enterprise.

Qualifications:

* Bachelor's degree in Computer Science, Data Engineering, or a related technical field.
* 15+ years of experience leading data platform and business intelligence organizations with a focus on AI-driven innovation or automation-driven process improvements.
* Proven experience designing and implementing governance frameworks (AI, data, or analytics).
* Hands-on ability to draft policies, configure catalog/lineage tools, and partner with technical delivery teams.
* Strong communication and facilitation skills; able to bridge between technical teams and business stakeholders.
* Strategic mindset with the ability to execute pragmatically.
* Familiarity with AI/ML lifecycle, metadata management, and analytics governance practices.
* Background in telecom, technology, financial services, retail, or other data-heavy industries is welcome.
			

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