Work Flexibility: Onsite
Position summary:
The role of Senior Manager – Cloud Platform, Data & Analytics, will play a pivotal role in facilitating the adoption, development, and ongoing management of cloud infrastructure for Stryker's Data & Analytics needs. You will be responsible for leading the configuration and deployment of cloud-based Data & Analytics platforms, with a strong focus on Azure Synapse Analytics. This role will provide thought leadership in cloud platform management, technology leadership, cloud governance, security, and self-service management. Also, providing guidance and mentorship to a group of cloud platform architects and engineers.
Essential duties & responsibilities: (detailed description)
- Talent Management:
- Plays a pivotal role in cultivating a thriving workforce, overseeing talent acquisition to attract and retain top talent. Foster a culture of continuous learning and development.
- Champions diversity and inclusion initiatives, promoting a workplace that values differences. Develops and implements engagement initiatives, creating a positive and inclusive work environment.
- Collaboration:
- Work closely with business stakeholders to understand their data and analytics needs, providing solutions that drive business value.
- Collaborate closely with Data Engineering and Business/customer teams.
- Technical Though Leadership and Management:
- Platform Configuration, Deployment, and Management:
- Lead the configuration and deployment of cloud-based Data & Analytics platforms, particularly Azure Analytics Platform.
- Provide technical leadership in designing and implementing the modernization and consolidation of legacy data and analytics systems to an on-cloud Azure platform.
- Oversee issues such as migration and provide strategic direction to architects.
- Governance, Data Security and Compliance:
- Develop and implement cloud governance policies and best practices. This includes creating guidelines for resource provisioning, security, compliance, and cost management.
- Demonstrate expertise in ensuring compliance with regulatory requirements and industry standards, enforcing measures such as data privacy regulations (e.g., GDPR, HIPAA), and ensuring alignment with relevant compliance standards.
- Ensure compliance with data privacy regulations through access controls, encryption, and auditing mechanisms.
- Audit and Monitoring Proficiency:
- Implement robust monitoring and auditing mechanisms crucial for governance. This involves establishing and monitoring tools and processes to regularly audit the cloud environment for security, compliance, and performance.
- User Access and Authentication:
- Administer user access to the analytics platform by configuring user roles, permissions, and authentication methods.
- Collaborate closely with IT Infrastructure and IT security teams.
- Cost Management:
- Monitor cloud costs and usage, implementing cost-saving strategies and budget controls.
- Provide recommendations for optimizing resource allocation and expenditure.
- Data Backup and Disaster Recovery:
- Develop and implement comprehensive data backup and disaster recovery plans.
- Define and enforce data retention policies for effective data lifecycle management.
Education & special trainings:
- Bachelor's Degree from an accredited university in the areas of Computer science, Engineering, Information Systems, Business, or equivalent field of study required.
- Master's degree in MIS, MBA or related disciplines preferred.
- Analytics certifications on Azure platform is a plus.
Qualifications & experience:
- Minimum 10 years of IT experience primarily around cloud infrastructure, cloud solutions, Data platforms, Business Intelligence/Analytics, and systems architecture and design.
- 5+ years of leadership responsibility managing internal and external teams, influencing senior-level management and stakeholders; medical device or other regulated industry preferred.
- 6+ years of experience in Azure administration & architecture, Azure Data Services, ARM templates, PowerShell, and CI/CD using Azure DevOps.
- Strong understanding of data architecture, data governance, and self-service analytics principles.
- Experience developing partnerships with the technical, business, and sales teams utilizing strong communication and team building skills.
- Familiarity with Data Science, Machine Learning, and Artificial Intelligence solutions.
Travel Percentage: None