Job Family:Data Engineering & Architecture Consulting
Travel Required:Up to 10%
Clearance Required:Ability to Obtain Public Trust
What You Will Do:- 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.
What You Will Need:
- 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.
What Would Be Nice To Have:- 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.
The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
- 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
