Senior Data Architect - School of Medicine

Brigham Young University•Provo, UT

3d•$104,500 - $135,500

About The Position

The Senior Data Architect develops, maintains, and oversees the data infrastructure, semantic models, data-quality processes, role-based security, and AI-ready data products that support the School of Medicine’s evaluation, reporting, accreditation monitoring, and continuous quality improvement functions. This position works closely with analytics, evaluation, curriculum, assessment, student progress, IT, and institutional partners to ensure that mission, strategic plan, accreditation, course evaluation, survey, and aggregate student performance evidence can be accessed, secured, refreshed, validated, and used reliably. This position crafts long-term technical strategies, emphasizing strategic development and alignment with School of Medicine and University objectives. This position works in close collaboration with the School of Medicine Office of Technology and the BYU Office of Information Technology. This position is important to the success of the BYU School of Medicine, a newly established organization within the university. As the school continues to launch and grow, a successful candidate must demonstrate adaptability and a willingness to take on evolving responsibilities and assignments to support its effective implementation and ongoing operations. The School of Medicine is looking for someone who is mission-aligned and will support the vision to foster a spiritually enriching environment where employees and students can deepen their testimonies of Jesus Christ while preparing students for a lifetime of service as Christ-centered physicians.

Requirements

A firm commitment to the mission of BYU.
Bachelor’s degree in information systems, computer science, business intelligence, data analytics, data science, or related field with 5 years of IT architecture experience; or equivalent combination of education and/or experience.
Experience with data architecture, data modeling, data integration, automation, data-quality checks, or related analytics engineering work.
Experience documenting data sources, metric definitions, calculation logic, validation steps, and reporting assumptions.
Experience working with sensitive or confidential data and applying appropriate standards for access, use, reporting, and security.
Strong working knowledge of data architecture, data modeling, data integration, data transformation, data quality, cloud data platforms, database management, and business intelligence principles.
Ability to build trusted, reusable, and well-documented data products that support dashboards, reports, and decision-making.
Proficiency with BI/reporting tools and ability to develop dashboards, semantic models, measures, data-quality checks, and refresh processes.
Ability to interpret stakeholder needs and translate them into technical requirements, reporting structures, and data products.
Ability to document data lineage, metric definitions, calculation logic, assumptions, validation steps, and reporting limitations.
Strong problem-solving skills for identifying and resolving data-quality, refresh, transformation, calculation, or reporting issues.
Ability to work collaboratively with technical and nontechnical stakeholders.
Sound judgment and discretion when working with sensitive student, faculty, assessment, evaluation, accreditation, and institutional data, including the application of information security, identity and access management, data privacy, and governance standards.
Strong written and verbal communication skills.
Demonstrated ability to independently learn, evaluate, and apply emerging technologies, analytics methods, AI capabilities, and data platforms in support of technical leadership and strategic planning in a rapidly changing environment.
Demonstrated curiosity, creativity, adaptability, and commitment to continuous professional growth and innovation.
Familiarity with AI-enabled analytics tools and responsible-use practices for data modeling, validation, documentation, summarization, and analysis workflows.

Nice To Haves

Experience developing dashboards, data models, reports, or analytics products using BI tools.
Experience with Microsoft Fabric, Power Automate, Power Query, DAX, SQL, Power BI, dataflows, semantic models, or comparable platforms.
Experience creating role-based dashboards or reporting layers for multiple stakeholder groups.
Experience developing AI-ready data models, self-service analytics structures, or documentation to support AI-assisted analysis.
Experience collaborating with IT, institutional research, academic programs, data owners, and nontechnical stakeholders.
Experience in higher education, health professions education, institutional research, student information systems, assessment systems, survey systems, curriculum systems, or learning management systems.
Knowledge of Microsoft Fabric, Power Automate, Power Query, DAX, SQL, Power BI, semantic models, role-level security, and/or dataflows.
Knowledge of FERPA-sensitive educational data, role-based reporting, de-identification practices, minimum response thresholds, or data governance principles.
Familiarity with medical education, educational outcomes, assessment data, course/faculty evaluations, curriculum data, accreditation monitoring, or CQI reporting.
Ability to support self-service analytics by creating trusted models, documentation, definitions, and user guidance.
Relevant certifications or training in Microsoft Fabric, Azure data tools, data analytics, data engineering, data governance, business intelligence, or related areas.

Responsibilities

Design, develop, maintain, and provide strategic oversight for the trusted educational data architecture to support the objectives of the Office of Analytics and Evaluation.
Build semantic models and curated data structures that support dashboards, reports, accreditation monitoring, CQI tracking, survey reporting, and student outcomes analysis.
Translate evidence needs related to mission fulfillment, strategic priorities, accreditation compliance, program evaluation, course evaluations, and student performance into reliable data models and reporting structures.
Develop and maintain data dictionaries, metric definitions, measure logic, and documentation to support consistent interpretation and use.
Ensure data products are structured to support accurate, explainable, confidential, and secure analysis.
Design, develop, and maintain trusted educational data architecture to support operational areas of the School of Medicine as assigned.
Develop and maintain automated data integration, transformation, and refresh processes.
Partner with SoM IT, OIT, CTL, Registrar, Curriculum and Assessment, Student Progress, and others to support reliable source-system connections and data flows.
Build and maintain data-quality checks, reconciliation processes, exception reports, and validation workflows.
Identify data inconsistencies, missing data, data definition conflicts, or reporting risks and coordinate resolution with appropriate stakeholders.
Support automation of recurring reporting workflows to reduce manual reporting burden and improve reliability.
Establish systems and directives for performance monitoring of software and system architectures.
Research, inform, and direct on architectural changes for compliance with industry standards, regulatory requirements, and security/privacy mandates.
In cooperation with IT, build and maintain the technical infrastructure, semantic models, data pipelines, refresh processes, role-based security, and reusable dashboard/reporting frameworks that support office analytics products.
Configure role-based access and security structures consistent with approved data governance, confidentiality, de-identification, and appropriate-use standards.
Support dashboards and reports for committees, curricular review, strategic plan monitoring, accreditation monitoring, and other school needs.
Ensure dashboards and reports include clear definitions, appropriate filters, data limitations, and refresh information.
Maintain report dependencies, version control, and technical documentation for major analytics products.
Prepare data products, reporting structures, and governance frameworks that support responsible self-service and AI-assisted analytics.
Collaborate with office staff and school stakeholders to understand reporting needs, translate questions into technical requirements, and support appropriate use of analytics products.
Help faculty, staff, and other stakeholders develop the skills and confidence to create, interpret, and communicate analytics using approved tools, data sources, and standards.
Lead and coordinate advanced troubleshooting with users and stakeholders and resolve issues during design and implementation.
Develop reusable templates, documentation, data dictionaries, and guidance that promote consistent use of metrics and reporting practices.
Guide users in applying approved definitions, data-quality expectations, confidentiality requirements, and appropriate-use standards.
Review or advise on user-created analytics when needed to confirm accuracy, consistency, and responsible interpretation.
Monitor and evaluate opportunities to use AI-enabled tools, automation, and emerging technologies to continuously improve analytics workflows and decision support.
Demonstrate continuous learning, adaptability, and curiosity by evaluating emerging technologies, analytics methods, and AI capabilities and identifying opportunities to strengthen data infrastructure, analytics services, and decision support.
Champion a culture of continuous learning and improvement by supporting initiatives that optimize service delivery, strengthen data-driven decision making, and improve reporting processes.

Benefits

401k. BYU automatically contributes 8% at no cost to you. Additionally, if you contribute 5%, BYU adds an additional 4% (Rehires may qualify for different retirement plans)
Excellent work-life balance: 13 paid holidays + 22 days paid vacation + 12 sick days, accrued annually
Employee assistance program, available to the employee and all members of their household
Tuition benefits for employees and eligible family members
Access to athletic facilities
Excellent medical/dental benefits
Short/long-term disability benefits
Paid parental and maternity leave
Wellness Program
Free on-campus parking
Free UTA passes for employees, spouses, and qualified dependents
Discounts at the BYU Store and for many events at BYU