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Database Architect
Job Location:
Job Location:
Saint Paul, MN - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
22 September 2026 (Yesterday)
Posted:
Application Deadline:
20 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: (Database Architect)
About Kyyba:
Founded in 1998 and headquartered in Farmington Hills MI Kyyba has a global presence delivering high-quality resources and top-notch recruiting services enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value passion excellence empowerment and happiness creates a vibrant and productive atmosphere. We empower our employees with the resources incentives and flexibility that they need to support a healthy balanced and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Job Description
Position Summary
***s Electrophysiology (EP) R&D organization generates an expanding volume of clinical imaging mapping and outcomes data that serves as the foundation for next-generation AI/ML solutions. To accelerate innovation we are seeking a Data Operations & R&D Data Management Manager to lead the strategy processes and infrastructure that enable secure scalable and compliant use of data across the product development lifecycle.
This role combines data platform leadership with operational execution. The successful candidate will oversee data ingestion transfer cataloging governance standardization quality and accessibility while partnering closely with R&D engineers Clinical teams IT/Cloud organizations field personnel physicians external partners and vendors. The role will ensure that clinical and field-derived datasets are readily available trustworthy compliant and optimized for AI/ML development validation and regulatory submission activities.
Key Responsibilities
Data Strategy Platform and Infrastructure
Define and execute a roadmap for modernizing the EP R&D data ecosystem through scalable searchable and automated data management capabilities.
Design and maintain data architecture metadata standards clinical dictionaries and common data models spanning cardiac mapping imaging and clinical datasets.
Partner with IT Cloud and engineering teams to implement and enhance data infrastructure leveraging Azure Databricks and related enterprise platforms.
Evaluate and implement tools supporting data cataloging governance version control lineage labeling storage and AI/ML workflows.
Ensure data systems effectively support both Windows and Linux-based development environments.
Data Operations and Dataset Readiness
Coordinate end-to-end acquisition transfer ingestion validation and management of clinical and field-derived datasets.
Establish processes to ensure completeness integrity traceability and accessibility of data throughout its lifecycle.
Partner with physicians clinical sites field teams and data owners to support strategic data collection and partnership initiatives.
Manage data transfer activities issue resolution status tracking and stakeholder communications to ensure timely delivery of datasets.
Collaborate with engineering and AI/ML teams to address data quality issues missing metadata ingestion failures and standardization gaps.
Support dataset versioning lineage tracking reproducibility and audit readiness for AI/ML model development and validation.
AI/ML Data Enablement
Work directly with AI/ML and R&D engineering teams to understand data requirements and accelerate model development efforts.
Build and improve processes that enable efficient discovery access preparation and validation of datasets.
Oversee labeling and annotation programs including external vendor management quality controls acceptance criteria and development of gold-standard datasets.
Drive continuous improvement initiatives that reduce time spent locating preparing and validating data.
Governance Compliance and Quality
Establish and maintain data governance practices covering access controls retention stewardship quality and security.
Coordinate reviews with Cybersecurity Privacy Legal OEC Clinical and R&D stakeholders to ensure compliant data handling.
Ensure alignment with corporate policies and applicable regulatory requirements including FDA GxP HIPAA GDPR and AI/ML validation expectations.
Maintain audit-ready documentation data lineage records SOPs work instructions approvals and governance artifacts.
Implement data quality monitoring validation checks and remediation processes to ensure ongoing data integrity.
Cross-Functional Leadership
Serve as the primary point of coordination among R&D Clinical IT/Cloud AI/ML field teams and external partners.
Translate technical clinical and business requirements into actionable data solutions and operational plans.
Communicate strategy priorities progress risks and trade-offs to leadership and stakeholders across the organization.
Manage external vendors statements of work timelines deliverables service levels and quality expectations.
Required Qualifications
Bachelors degree in Computer Science Data Engineering Information Systems Engineering Health Informatics Biomedical Engineering or a related discipline.
5 years of experience in data management data operations data engineering clinical data support or related roles.
Demonstrated experience managing large and diverse datasets including clinical imaging mapping or time-series data.
Experience implementing data governance metadata management cataloging and data quality processes.
Experience coordinating data transfers data lifecycle activities or multi-stakeholder data initiatives.
Knowledge of cloud-based data platforms such as Azure Databricks or comparable environments.
Strong understanding of data privacy security compliance and regulated industry requirements.
Excellent communication stakeholder management and cross-functional leadership skills.
Strong organizational project management and execution capabilities.
Working knowledge of SQL and experience with scripting or programming languages such as Python.
Preferred Qualifications
Experience within medical devices healthcare life sciences or other regulated R&D environments.
Familiarity with electrophysiology cardiac mapping and clinical imaging data.
Knowledge of clinical and imaging standards including DICOM HL7 and FHIR.
Experience supporting AI/ML development through dataset preparation annotation validation MLOps or model governance activities.
Experience with data governance tools such as Microsoft Purview Collibra or Alation.
Knowledge of FDA regulations 21 CFR Part 11 GxP requirements HIPAA and GDPR.
Experience building or modernizing enterprise data management platforms and processes.
Experience managing external data providers labeling vendors and strategic data partnerships.
What Youll Impact
Enable R&D teams to rapidly Client access and trust the data required for innovation.
Establish a scalable data foundation supporting AI/ML-powered products and future clinical applications.
Improve operational efficiency compliance data quality and regulatory readiness across the EP organization.
Accelerate the development of next-generation cardiac mapping imaging and AI-enabled technologies that improve patient care.
Location: (St. PaulMN)
Disclaimer:
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race religion color sex gender identity sexual orientation age non-disqualifying physical or mental disability national origin veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications merit and business need.
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment including the application process. If reasonable accommodation is needed please contact Kyyba at
Rewards:
Medical dental vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
About Kyyba:
Founded in 1998 and headquartered in Farmington Hills MI Kyyba has a global presence delivering high-quality resources and top-notch recruiting services enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value passion excellence empowerment and happiness creates a vibrant and productive atmosphere. We empower our employees with the resources incentives and flexibility that they need to support a healthy balanced and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Job Description
Position Summary
***s Electrophysiology (EP) R&D organization generates an expanding volume of clinical imaging mapping and outcomes data that serves as the foundation for next-generation AI/ML solutions. To accelerate innovation we are seeking a Data Operations & R&D Data Management Manager to lead the strategy processes and infrastructure that enable secure scalable and compliant use of data across the product development lifecycle.
This role combines data platform leadership with operational execution. The successful candidate will oversee data ingestion transfer cataloging governance standardization quality and accessibility while partnering closely with R&D engineers Clinical teams IT/Cloud organizations field personnel physicians external partners and vendors. The role will ensure that clinical and field-derived datasets are readily available trustworthy compliant and optimized for AI/ML development validation and regulatory submission activities.
Key Responsibilities
Data Strategy Platform and Infrastructure
Define and execute a roadmap for modernizing the EP R&D data ecosystem through scalable searchable and automated data management capabilities.
Design and maintain data architecture metadata standards clinical dictionaries and common data models spanning cardiac mapping imaging and clinical datasets.
Partner with IT Cloud and engineering teams to implement and enhance data infrastructure leveraging Azure Databricks and related enterprise platforms.
Evaluate and implement tools supporting data cataloging governance version control lineage labeling storage and AI/ML workflows.
Ensure data systems effectively support both Windows and Linux-based development environments.
Data Operations and Dataset Readiness
Coordinate end-to-end acquisition transfer ingestion validation and management of clinical and field-derived datasets.
Establish processes to ensure completeness integrity traceability and accessibility of data throughout its lifecycle.
Partner with physicians clinical sites field teams and data owners to support strategic data collection and partnership initiatives.
Manage data transfer activities issue resolution status tracking and stakeholder communications to ensure timely delivery of datasets.
Collaborate with engineering and AI/ML teams to address data quality issues missing metadata ingestion failures and standardization gaps.
Support dataset versioning lineage tracking reproducibility and audit readiness for AI/ML model development and validation.
AI/ML Data Enablement
Work directly with AI/ML and R&D engineering teams to understand data requirements and accelerate model development efforts.
Build and improve processes that enable efficient discovery access preparation and validation of datasets.
Oversee labeling and annotation programs including external vendor management quality controls acceptance criteria and development of gold-standard datasets.
Drive continuous improvement initiatives that reduce time spent locating preparing and validating data.
Governance Compliance and Quality
Establish and maintain data governance practices covering access controls retention stewardship quality and security.
Coordinate reviews with Cybersecurity Privacy Legal OEC Clinical and R&D stakeholders to ensure compliant data handling.
Ensure alignment with corporate policies and applicable regulatory requirements including FDA GxP HIPAA GDPR and AI/ML validation expectations.
Maintain audit-ready documentation data lineage records SOPs work instructions approvals and governance artifacts.
Implement data quality monitoring validation checks and remediation processes to ensure ongoing data integrity.
Cross-Functional Leadership
Serve as the primary point of coordination among R&D Clinical IT/Cloud AI/ML field teams and external partners.
Translate technical clinical and business requirements into actionable data solutions and operational plans.
Communicate strategy priorities progress risks and trade-offs to leadership and stakeholders across the organization.
Manage external vendors statements of work timelines deliverables service levels and quality expectations.
Required Qualifications
Bachelors degree in Computer Science Data Engineering Information Systems Engineering Health Informatics Biomedical Engineering or a related discipline.
5 years of experience in data management data operations data engineering clinical data support or related roles.
Demonstrated experience managing large and diverse datasets including clinical imaging mapping or time-series data.
Experience implementing data governance metadata management cataloging and data quality processes.
Experience coordinating data transfers data lifecycle activities or multi-stakeholder data initiatives.
Knowledge of cloud-based data platforms such as Azure Databricks or comparable environments.
Strong understanding of data privacy security compliance and regulated industry requirements.
Excellent communication stakeholder management and cross-functional leadership skills.
Strong organizational project management and execution capabilities.
Working knowledge of SQL and experience with scripting or programming languages such as Python.
Preferred Qualifications
Experience within medical devices healthcare life sciences or other regulated R&D environments.
Familiarity with electrophysiology cardiac mapping and clinical imaging data.
Knowledge of clinical and imaging standards including DICOM HL7 and FHIR.
Experience supporting AI/ML development through dataset preparation annotation validation MLOps or model governance activities.
Experience with data governance tools such as Microsoft Purview Collibra or Alation.
Knowledge of FDA regulations 21 CFR Part 11 GxP requirements HIPAA and GDPR.
Experience building or modernizing enterprise data management platforms and processes.
Experience managing external data providers labeling vendors and strategic data partnerships.
What Youll Impact
Enable R&D teams to rapidly Client access and trust the data required for innovation.
Establish a scalable data foundation supporting AI/ML-powered products and future clinical applications.
Improve operational efficiency compliance data quality and regulatory readiness across the EP organization.
Accelerate the development of next-generation cardiac mapping imaging and AI-enabled technologies that improve patient care.
Location: (St. PaulMN)
Disclaimer:
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race religion color sex gender identity sexual orientation age non-disqualifying physical or mental disability national origin veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications merit and business need.
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment including the application process. If reasonable accommodation is needed please contact Kyyba at
Rewards:
Medical dental vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
- An INC 5000 company for 10 years
- Corp! Michigan Economic Bright Spots
- Crains Detroit Business Top Staffing Service Companies in Detroit
- TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
- Best of MichBusiness winner in HR Wizards & Partnerships
- Metro Detroit Elite Category: Recruitment Selection & Orientation for 101 Best & Brightest
- 101 Best & Brightest Companies to Work for in Michigan
Required Experience:
Staff IC
