Director, AI Governance, Automation & Analytics

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the SP 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! What You’ll Own AI Agent Governance Shadow AI Defense Build and operate a centralized AI agent registry—every autonomous agent, bot, MCP connector, and AI-powered workflow across the enterprise is inventoried, owned, and monitored. Use next-gen tools as the discovery engine and extend coverage to API-level and browser-extension agents. Lead shadow AI containment: detect, classify, and govern unauthorized AI deployments across business units. Turn the current reactive posture into proactive continuous discovery with real-time alerting. Enforce agent identity governance—treat AI agents as first-class security principals with their own identities, least-privilege access controls, credential rotation, and lifecycle management. Partner with Identity to extend Zero Trust to non-human identities. Build incident response playbooks specifically for agent-induced incidents: goal hijacking, unauthorized data access, privilege escalation through AI tool chains, and MCP-based credential exposure. Define and enforce agent deployment gates—no AI agent goes to production without security review, risk classification, and registration in the central registry. AI Governance Compliance Frameworks Own AlphaSense’s AI governance program end-to-end: policy frameworks, risk classification tiers, AI impact assessments, and the cross-functional governance council (Security, Legal, Product, Engineering, HR). Drive ISO 42001 (AI Management System) certification—define scope, build the AIMS, lead the audit. This is a near-term strategic priority. Build and maintain the AI risk taxonomy covering bias, explainability, data quality, model drift, adversarial attacks, and societal impact—mapped to EU AI Act risk tiers, NIST AI RMF, and internal product requirements. Monitor and prepare for emerging regulatory requirements: EU AI Act enforcement timelines, DORA’s AI-related incident reporting obligations, U.S. state-level AI legislation, and sector-specific AI guidance. Establish AI-specific cyber risk quantification (CRQ) models that translate AI risk into financial impact for board-level reporting and investment prioritization. Security Automation Analytics Architect and deploy AI-powered security automation—targeting high-toil workflows like alert triage, evidence collection, vendor risk questionnaires, and incident enrichment. Build analytics pipelines that generate actionable intelligence from security telemetry across the security stack —turning raw data into risk signals, trend detection, and efficiency metrics. Work with teams to deploy and tune AI-driven detection capabilities: behavioral anomaly detection, insider risk correlation, and automated threat hunting across endpoints and cloud. Drive continuous control monitoring for AI-specific controls—automated validation that AI governance policies are being enforced, not just docume ... (truncated, view full listing at source)