Mathematica applies expertise at the intersection of technology, data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using technology and advanced analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Read more about our benefits here: The Senior Data Security Analyst will lead efforts in data security engineering, governance, and loss prevention to safeguard sensitive information and ensure the integrity, confidentiality, and availability of data at Mathematica. This role demands a high-energy, enterprising, and resourceful candidate, who has hands-on experience in data classification and tagging, data loss prevention and privacy in cloud and on-prem environments. This role works across technology, business unit and project teams, with support from the IT Security, Risk and Compliance function, in the deployment of a data governance model. STAFFING AGENCIES AND THIRD-PARTY RECRUITERS: Mathematica is not accepting candidates for this role or any technical role from staffing agencies or third-party recruiters. Please do not contact technical or senior staff at Mathematica or share unsolicited resumes. All agency inquiries go through the talent acquisition team and will be routed accordingly. Responsibilities: Lead development and deployment of an enterprise Data Governance function Develop data lifecycle management policies and procedures and the technical data protections for each step of the lifecycle Maintain and enforce a data classification schema and data classification policy Build data security, based on information classification, into systems and processes for sensitive and regulated data, including but not limited to data subject to HIPAA, CCPA, GDPR and other privacy and security regulations Provide support to a Data Steering Committee Work with product and system development teams to define data protection and privacy requirements and support evaluation of component tools and applications Implement data strategies, including architecting, securing, and tagging large, unstructured data sets in an enterprise setting Enforce data loss prevention program requirements and oversee DLP alerting and monitoring procedures #J-18808-Ljbffr
wolfram-mathematica mathematics data-protection data-management tagging data-security HIPAA On-Prem Information security Privacy management cloud-computing Information technology (IT) data governance Product development ccpa Analytics monitoring methods GDPR