Senior Product Manager – Sensa Investigation; Financial Services

Introduction

Symphony

AI Financial Services is seeking a Senior Product Manager (AI First) to lead the product vision and roadmap for our Sensa Investigation – the central case management, workflow, and analyst experience layer across our financial crime and compliance portfolio (ie., AML Transaction Monitoring, KYC, Sanctions, Fraud and extending across the Compliance and Risk framework). This role is ideal for a hands‑on, AI native product leader who deeply understands financial crime investigations and disclosures, and is excited to re‑imagine the end‑to‑end investigation lifecycle using AI and Agentic AI – from alert triage and case creation through investigation, collaboration, decisioning, disclosure/reporting, and post‑case learning.

You will own the product strategy for Sensa Investigation, define and deliver an AI‑first analyst experience, and drive cross‑functional execution with engineering, design, data science, go‑to‑market teams, and customers.

• Define and continuously refine the product vision, strategy, and multi‑year roadmap for Sensa Investigation as the core investigation and case management platform for Symphony
  
  AI Financial Services.
• Develop a clear AI‑first and Agentic AI strategy for investigations, spanning intelligent alert triage, dynamic case assembly, automated evidence gathering, recommended actions, draft decisions, and disclosures.
• Translate market trends, regulatory developments, and customer feedback into a cohesive, differentiated product strategy that aligns with Symphony
  
  AI’s platform and portfolio direction.
• Define the role of Sensa Investigation within the overall product suite (screening, monitoring, KYC/CDD, fraud, market surveillance, customer risk rating, entity resolution, etc.) and ensure tight product integration.

• Act as a domain expert and trusted partner to our customers on AML TM, KYC, Sanctions, Fraud, and Financial Crime investigations – including typologies, investigative workflows, adverse media, escalation rules, quality assurance, and governance.
• Deeply understand investigation and case management processes (e.g., Level 1 / Level 2 / Level 3 investigations, referrals, escalations, quality checks, audit, closure, SAR/STR/SMR filing, regulatory disclosures, and post‑case reviews).
• Engage regularly with compliance officers, investigation teams, operations leaders, and technology stakeholders at Tier 1 and Tier 2 financial institutions to understand pain points and validate concepts.
• Maintain a strong understanding of global regulations and expectations impacting investigations (e.g., BSA/AML, FATF, OFAC, EU AML directives, sanctions regimes, fraud and consumer protection regs, surveillance regulations).

• Partner with AI/ML and data science teams to define AI powered investigation capabilities, including:
  • Intelligent case creation, clustering, and prioritization.
  • Agent driven evidence gathering across internal and external data sources.
  • AI copilots for investigators (guided investigations, recommended next steps, narrative generation).
  • Automated/draft disclosures and regulatory reports (e.g., SAR/STR narratives, supporting documentation, decision rationales).
  • Continuous learning from case outcomes, QA feedback, and regulatory changes.
• Define Agentic AI patterns and use cases for autonomous or semi‑autonomous workflows (e.g., auto closure of low risk alerts, pre‑investigation triage, periodic review workflows, negative news investigations).
• Own the balance between AI innovation, explainability, controls, and regulatory defensibility – ensuring all AI driven features meet standards for transparency, auditability, and human in the loop oversight.
• Collaborate with platform and engineering teams to align Sensa Investigation capabilities with the underlying AI platform, data fabric, ontologies, and workflow engines.

• Translate strategy into clear, prioritized product roadmaps, epics, and user stories with crisp acceptance criteria and measurable outcomes.
• Lead backlog grooming, sprint planning, and release scoping in close…