Sr Principal Analyst - IT Data & Analytics (Hybrid)
StrykerAbout the role
As a Senior Principal Analyst, IT Data & Analytics you will be responsible for enforcing and implementing robust strategies to manage and mitigate risks associated with data across the organization. You will collaborate with cross-functional teams to identify vulnerabilities, assess potential threats, and implement measures to protect sensitive information. This role requires a strong understanding of data security, compliance requirements, and risk management principles to ensure the confidentially, integrity, and accessibility of Stryker's data solutions are maintained.
What you will do
- Establish and enforce data governance policies and frameworks to ensure consistent data management practices, promoting data integrity, accountability, and alignment with organizational objectives across all business units.
- Align data risk management strategies with overall organizational goals by conducting data risk assessments for Stryker IT and business-owned systems to drive the remediation of identified risks, while implementing programs that establish integrated data security and privacy standards across all Stryker platforms.
- Develop and maintain data quality and reliability controls to effectively manage data risks, while leading regulatory and compliance programs related to data and analytics assets.
- Conduct solution design reviews to ensure compliance with data security and privacy standards, verifying that all solutions align with industry best practices and relevant legal requirements before deployment into production.
- Collaborate with cybersecurity, privacy, and legal teams to monitor geopolitical regulations, compliance, privacy, and related guidelines, assessing their impact on data governance and architecture strategy and implementation.
- Maintain up-to-date knowledge of data protection and privacy regulations (machine learning) to ensure organizational compliance.
What you need
Required:
- Bachelor’s degree in Data Analytics, Computer Science, Information Technology, or a related field.
- 10+ years of experience in data risk management, data & analytics, data security, audit and compliance.
- Experience in data architecture, data governance, compliance frameworks, data & analytics principles.
- Experience with Data Science, Machine Learning, and Artificial Intelligence (AI) solutions.
Preferred:
- Master's degree in Data Analytics, Computer Science, Information Technology, or a related field.
- Experience with medical device or regulated industry.
- Certifications in data architecture data governance, financial or compliance audits, such as CDMP, CIGO, CISA, CIPP.
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