Data / AI Architect & Governance Analyst
Guidehouse
US - Remote (Any location)Posted 3 days agoDiscoveredMatch locked
RemoteFull time5+ years exp
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
About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Not included in the source posting: what you'll do, qualifications.
Skills
artificial-intelligencemachine-learningawsazurecybersecuritydatabricks
Who can apply
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