REMOTE - AI/Security Architecture Lead (Data/Analytics)

Job Description A client in the retail/CPG space is seeking a high-level AI Solutions & Data Architecture Lead to support the evaluation, implementation, and optimization of enterprise AI, data, and security solutions within our Data & Analytics (DNA) environment. This role will focus on guiding AI strategy across analytics, automation, and security—leveraging off-the-shelf solutions and working cross-functionally with architecture, security, and data teams. This is a non-coding, strategic role focused on vendor evaluation, implementation oversight, and aligning AI capabilities to business outcomes. This will be 100% remote and will be a contract-hire position. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Experience leading or advising on enterprise AI strategy and implementation Strong understanding of AI applications across: Analytics Automation (RPA/process optimization) Security & data protection Familiarity with modern data ecosystems, including cloud platforms (Azure preferred) and data tools (Databricks, BI tools) Experience working with off-the-shelf AI/security platforms and vendor evaluation Knowledge of data governance, compliance, and security frameworks (e.g., SOX, data privacy standards) Ability to operate at a high-level (strategic/architectural) without hands-on coding Experience with data masking/tokenization tools (e.g., Skyflow or similar) Exposure to LLMs and AI model ecosystems (Azure AI, Claude, etc.) Background in building or advising on AI-enabled data architectures Experience in Retail or CPG environments