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Data Analysis Incorporated (DAI) is the controlling entity of the O’Neil family of businesses. DAI and its subsidiaries operate in diverse industries worldwide, including global equity markets, health care, financial services, digital news, and insurance. Our global footprint allows our teams to be responsive to customer needs in a timely and efficient manner. We are dedicated to using technology and innovation to bring change and growth to our businesses. We believe in a dynamic workplace, creating engaging, informative products and services that help our customers succeed. Integrity is an essential characteristic for our firms and our associates; if this describes you, please apply!
The Lead Identity and Access Management Engineer is responsible for designing, implementing, and continuously improving enterprise IAM platforms while providing technical leadership across authentication, authorization, identity governance, and lifecycle management. This role serves as the IAM technical lead, defining and enforcing the operating model, including oversight of offshore administration processes to ensure secure, consistent, and auditable execution. The position owns identity security across both human and non-human identities, including workforce, service, application, and API identities. It also governs authentication mechanisms, token-based access, and service-to-service interactions across cloud and enterprise environments. Strong ownership of platforms such as PingID, Auth0, Duo, and Microsoft Entra ID is required, with a focus on modern authentication, MFA, SSO, and scalable identity governance. This includes governance of identity and access within AWS environments, including IAM roles, policies, and federated access.
Required Education, Experience, Certification/Licensure
Preferred Education, Experience, Certification/Licensure
KNOWLEDGE, SKILLS AND ABILITIES (KSAs)
Must be able to perform essential job duties. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each workday), hear the telephone, and enter data on a computer and may also require the ability to lift up to 10 pounds.
Data Analysis Inc is an equal opportunity employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
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