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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data and AI Governance Specialist - **Company:** Guidehouse Inc. - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Salary:** $113,000.0 - $188,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Software Documentation, Information Systems, Information Engineering, Data Governance, Data Infrastructure, Information Lifecycle Management, Metadata, Scrum Methodology, Datadog, Snowflake, Data Strategy, Information Technology, Collibra, Data Management, Databricks - **Published:** May 16, 2026 - **Apply:** https://www.juju.com/job/00000000fzme6a ## About the Role + Bachelor's degree in a relevant field (Information Systems, Public Policy, Business, Data/Computer Science, Engineering, or similar). + Experience delivering consulting or client-facing work, including workshops, written deliverables, and stakeholder management. + Demonstrated knowledge of data governance fundamentals, such as data stewardship, data lifecycle, metadata, data quality, privacy, and access controls. + Familiarity with AI governance concepts such as model risk considerations, transparency and documentation, monitoring, and responsible AI practices. + Strong communication skills with the ability to explain complex topics in clear, practical language and produce polished client-ready outputs. + Ability to work independently, manage priorities, and deliver high-quality work products in a fast-paced environment. + U.S. citizen requirement and active or ability to obtain a Public Trust clearance. + Ability to travel as needed based on client and project needs Senior Consultant (C3) level expectations + 3+ years of relevant experience in data governance, data strategy, analytics enablement, privacy support, or technology risk, including direct delivery contributions. + Ability to draft governance artifacts with limited oversight and support working sessions with client stakeholders. + Experience helping translate requirements into clear, actionable workplans and delivery backlogs. Manager (C4) level expectations + 7+ years of relevant experience with progressive responsibility, including workstream leadership and oversight of junior staff. + Proven ability to lead client workstreams end-to-end, including planning, facilitation, issue resolution, and executive communications. + Experience shaping roadmaps and operating models that connect governance to delivery, adoption, and measurable outcomes. What Would Be Nice To Have** **: + Experience supporting governance programs in public sector, justice, health and human services, or regulated environments. + Hands-on experience with governance and privacy tooling such as Microsoft Purview, Collibra, Alation, Informatica, OneTrust, Immuta, Datadog, or similar platforms. + Experience designing or facilitating AI literacy, adoption, and change management efforts, including training plans and communications. + Familiarity with modern data platforms and delivery patterns such as Azure, Databricks, Snowflake, lakehouse architectures, and data products. + Certifications in areas pertaining to data governance, privacy, security, cloud, or analytics. ## Description + Support data and AI governance programs by helping clients define practical governance structures, roles, decision rights, and operating rhythms. + Develop key governance artifacts such as policies, standards, playbooks, RACI matrices, intake workflows, and governance committee materials. + Perform assessments and current-state analysis across data lifecycle, data quality, metadata, privacy, and access controls, then translate findings into clear recommendations and implementation roadmaps. + Partner with data engineering, analytics, and security teams to align governance requirements to delivery patterns (data products, lakehouse/warehouse, BI publishing, and AI solution delivery). + Help establish data/AI governance and responsible data/AI practices including use case intake, risk tiering, human-in-the-loop expectations (for AI), model documentation, and ongoing monitoring approaches. + Contribute to stakeholder engagement by drafting client-ready materials, facilitating working sessions, and documenting decisions and action items. + Support delivery quality and team rhythms by contributing to sprint planning, backlog refinement, documentation, and status reporting. Manager (Guidehouse C4) + Lead governance workstreams and small delivery teams to design and implement data/AI governance programs that are actionable and sustainable. + Own client relationships for your workstream by setting expectations, facilitating executive discussions, and driving alignment across business, IT, privacy, security, and legal stakeholders. + Design and operationalize governance operating models including council structures, data stewardship models, decision escalation paths, and integrated controls across data, analytics, and AI. + Define implementation roadmaps that connect strategy to execution, including sequencing, dependency management, change management, and measurable adoption outcomes. + Establish AI governance and responsible AI guardrails such as model and use case inventory, risk management workflow, review boards, documentation standards, third-party oversight, and ongoing compliance reporting. + Institute tactical and functional governance operations and controls that assist in operationalizing program and product-level governance. + Translate governance needs into scalable enablement including templates, playbooks, training, and communications that improve adoption and reduce operational friction. + Contribute to growth and pursuits by supporting proposal development, scoping, staffing plans, and the creation of reusable assets and accelerators. ## Related Videos - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? 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