[Hiring] Data / AI Architect & Governance Analyst @Guidehouse

Role Description

Evaluate current-state data architecture, data governance frameworks, integration patterns, ownership models, and data quality practices to identify gaps and improvement opportunities.

• Assess enterprise data ecosystems and recommend strategies to improve interoperability, accessibility, reliability, and stewardship of organizational data assets.
• Design target-state data architectures that support analytics, reporting, artificial intelligence (AI), machine learning (ML), and emerging data-driven capabilities.
• Develop and enhance data governance frameworks, including policies, standards, processes, roles, and accountability models.
• Define data domains, ownership structures, stewardship responsibilities, and governance operating models to support enterprise data management.
• Analyze data flows, system interfaces, and integration patterns to improve data sharing and consistency across platforms.
• Support the development of data quality strategies, controls, metrics, and remediation approaches to improve trust in enterprise data.
• Collaborate with business, technology, and leadership stakeholders to align data architecture and governance initiatives with organizational objectives.
• Support data modernization, digital transformation, and AI enablement efforts through architecture assessments, roadmap development, and implementation planning.
• Develop executive briefings, recommendations, governance artifacts, and strategic roadmaps to guide data and AI investments.

Qualifications

• Bachelor's degree in Information Systems, Data Management, Computer Science, Engineering, Business, or a related field.
• 5+ years of experience in data architecture, data governance, data management, analytics, or related disciplines.
• Experience evaluating and designing enterprise data architectures, data governance programs, or data management frameworks.
• Understanding of data governance principles, including data ownership, stewardship, metadata management, data quality, and master data management.
• Experience assessing and documenting data flows, integration architectures, and business data requirements.
• Knowledge of data warehousing, cloud-based data platforms, data integration technologies, and analytics environments.
• Familiarity with AI, machine learning, and advanced analytics concepts and the underlying data requirements needed to support them.
• Strong analytical and problem-solving skills with the ability to translate complex technical concepts into business-focused recommendations.
• Experience developing architecture diagrams, governance artifacts, strategic roadmaps, and executive presentations.
• Excellent written and verbal communication skills and experience working with cross-functional stakeholders.

Requirements

• Master's degree in Data Science, Information Management, Computer Science, Business Administration, or a related field.
• Professional certifications in data management, governance, architecture, or cloud technologies (e.g., CDMP, DAMA, DCAM, TOGAF, AWS, Azure, Databricks).
• Experience establishing or maturing enterprise data governance organizations, councils, stewardship programs, or data operating models.
• Experience supporting AI governance, responsible AI frameworks, model governance, or AI readiness assessments.
• Knowledge of metadata management, data catalog, data lineage, master data management (MDM), and data quality platforms.
• Experience supporting large-scale data modernization, cloud migration, or enterprise analytics transformation programs.
• Experience with federal government, financial services, or highly regulated environments.
• Familiarity with enterprise architecture frameworks and strategic data management best practices.
• Experience developing data strategies, governance roadmaps, and implementation plans for executive leadership.
• Knowledge of privacy, cybersecurity, records management, and regulatory requirements related to enterprise data management.

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend