Position Description: 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 companys 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 Position Requirements: 5+ years of experience with data protection, data compliance, and privacy engineering, and leading work as a Subject Matter Expert Bachelors degree in Security, Computer Science / Engineering, or related field Experience in implementing data strategies, including architecting, securing and tagging in an enterprise setting Experience with Microsoft Purview data security, governance, discovery, classification, and loss prevention modules and capabilities Ability to apply data governance and data lifecycle management concepts to product / system development Experience working with large, unstructured data sets containing protected data Demonstrated analysis capabilities using Microsoft Office Word and Excel Experience collaborating with legal and compliance teams Experience with concepts related to data bias Exposure to analytics, machine learning and artificial intelligence Expertise in writing, presenting, discussing and socializing data security, privacy and lifecycle topics with colleagues of various experience levels Mentorship / teaching / outreach experience sharing / promoting knowledge about securing data pipelines, techniques and tools Hands-on experience implementing and documenting security programs based on FISMA, FedRAMP, HIPAA or other data regulations Health industry experience with organizations such as the Centers for Medicare and Medicaid Services, State Medicaid or Childrens Health Insurance Programs, Departments of Health or provider and payor organizations is a plus Hands-on experience with AWS native data lifecycle and pipeline solutions, relational and non-relational databases and data integration tools (such as Talend), and related / complementary open-source software platforms and languages (e.g. Angular, Java, Linux, Apache, Python) Hands-on experience with agile systems development to promote quick wins in meeting data governance goals Security and privacy consulting experience, or demonstrated consultative mentality Knowledge of operational risk management concepts As a federal government contractor, all staff working in our central ITS group with access to corporate computer systems are required to successfully undergo a background investigation or security clearance as a condition of employment Must be able to pass a federal public trust background investigation. This position offers an anticipated annual base salary range of $90,000 – $130,000. This position is eligible for a discretionary bonus based on company and individual performance. To apply, please submit a cover letter (optional), resume, location preference, and salary expectations. 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. Available Locations: Washington, DC; Princeton, NJ; Remote
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Artificial intelligence (AI) data-management Amazon Web Services (AWS) Computer Science tagging data-security availability HIPAA technical education Talend Microsoft Office remote work cloud-computing Security data governance Information technology (IT) confidentiality Machine Learning Legal FedRAMP GDPR cover letters Color theory wolfram-mathematica Data Analyst data-protection Quality Assurance (QA) Discovery phases Privacy management risk management ccpa Analytics RDBMS NoSQL methods