Senior Intelligence Analysis & Decision Systems Lead

Senior Intelligence Analysis & Decision Systems Lead Key Responsibilities

• Define and lead frameworks for analyzing intelligence inputs and converting them into prioritized threats, alerts, and decision signals.
• Establish methodologies for risk scoring, confidence assessment, and alert prioritization across investigative and operational use cases.
• Ensure analytical outputs align with real-world decision-making requirements, not just technical metrics.

• Guide the application of analytics, automation, and AI to intelligence workflows in a responsible and controlled manner.
• Partner with engineering and data teams to operationalize analytical models into production systems.
• Ensure analytical outputs are explainable, auditable, and defensible, with clear handling of uncertainty and confidence levels.
• Actively prevent over-automation and misuse of AI in high-risk decision environments.

• Design analyst-in-the-loop workflows that enable review, override, annotation, and feedback on automated outputs.
• Ensure systems enhance analyst effectiveness rather than replace professional judgment.
• Incorporate mechanisms for dissent, validation, and iterative learning within analytical workflows.
• Promote transparency in how conclusions, alerts, and recommendations are generated.

• Define guardrails to manage risks related to bias, misinterpretation, false positives, and operational misuse.
• Work closely with legal, compliance, and policy teams to ensure ethical, regulatory, and procedural alignment.
• Establish governance standards for auditability, traceability, and decision accountability across intelligence outputs.

• Engage with executive leadership, government stakeholders, and operational teams to align analytical capabilities with mission needs.
• Communicate analytical logic, limitations, and outcomes clearly to both technical and non-technical audiences.
• Represent analytical and decisioning ownership in high-level discussions with customers and partners.

• Solid understanding of applied analytics and AI concepts such as scoring, classification, prioritization, and confidence handling.
• Experience translating analytical outputs into real-world workflows and decisions.
• Familiarity with data governance, explainability, auditability, and transparency requirements.
• Ability to engage deeply with engineering teams without being a hands‑on data scientist.

• Background in counter terrorism, cyber threat intelligence, influence operations, or financial crime analysis.
• Experience with alerting, risk scoring, or intelligence prioritization systems.
• Experience working with sensitive, regulated, or government‑led programs.

• This is not a machine learning research or pure data science role.
• This role does not own raw data ingestion, OSINT crawling, or collection infrastructure.
• This is not a junior or execution‑only position.

• Operational relevance and precision of analytical outputs and alerts.
• Analyst adoption, confidence, and sustained use of decision-support workflows.
• Reduction in missed, delayed, or mis-prioritized high-risk intelligence signals.
• Executive and customer trust in analytical outputs and decision logic.
• Demonstrated impact on investigative, security, or operational outcomes.